Theophilos Papadimitriou : Citation Profile


Are you Theophilos Papadimitriou?

Democritus University of Thrace

9

H index

8

i10 index

272

Citations

RESEARCH PRODUCTION:

43

Articles

47

Papers

2

Chapters

RESEARCH ACTIVITY:

   11 years (2012 - 2023). See details.
   Cites by year: 24
   Journals where Theophilos Papadimitriou has often published
   Relations with other researchers
   Recent citing documents: 22.    Total self citations: 28 (9.33 %)

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   Permalink: http://citec.repec.org/ppa782
   Updated: 2024-01-16    RAS profile: 2023-09-09    
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Relations with other researchers


Works with:

Gogas, Periklis (21)

Plakandaras, Vasilios (6)

Sofianos, Emmanouil (5)

GUPTA, RANGAN (2)

Authors registered in RePEc who have co-authored more than one work in the last five years with Theophilos Papadimitriou.

Is cited by:

GUPTA, RANGAN (49)

Plakandaras, Vasilios (20)

Wohar, Mark (17)

Tabak, Benjamin (9)

Bouri, Elie (8)

Miller, Stephen (6)

Demirer, Riza (6)

Silva, Thiago (6)

Suleman, Tahir (5)

Uddin, Gazi (4)

Colombo, Emilio (4)

Cites to:

Gogas, Periklis (57)

GUPTA, RANGAN (21)

Plakandaras, Vasilios (20)

Watson, Mark (18)

Tabak, Benjamin (18)

Stock, James (17)

Mantegna, Rosario (15)

Rossi, Barbara (11)

Sekhposyan, Tatevik (10)

Sarno, Lucio (9)

Estrella, Arturo (9)

Main data


Where Theophilos Papadimitriou has published?


Journals with more than one article published# docs
Computational Economics5
Physica A: Statistical Mechanics and its Applications4
Journal of Forecasting3
Energies3
Applied Economics Letters3
JRFM2
Forecasting2
IJFS2
The Journal of Economic Asymmetries2
Journal of Risk Finance2

Working Papers Series with more than one paper published# docs
Working Paper series / Rimini Centre for Economic Analysis10
Working Papers / University of Pretoria, Department of Economics6
Papers / arXiv.org2

Recent works citing Theophilos Papadimitriou (2024 and 2023)


YearTitle of citing document
2023Can Machine Learning Catch Economic Recessions Using Economic and Market Sentiments?. (2023). Tehranian, Kian. In: Papers. RePEc:arx:papers:2308.16200.

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2023Trade openness and connectedness of national productions: Do financial openness, economic specialization, and the size of the country matter?. (2023). Toure, Adam ; Mao Takongmo, Charles-O., . In: Economic Modelling. RePEc:eee:ecmode:v:125:y:2023:i:c:s0264999323001529.

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2023Operational research and artificial intelligence methods in banking. (2023). Zhang, Wenke ; Platanakis, Emmanouil ; Gounopoulos, Dimitrios ; Zopounidis, Constantin ; Doumpos, Michalis. In: European Journal of Operational Research. RePEc:eee:ejores:v:306:y:2023:i:1:p:1-16.

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2023Do macroeconomic variables drive exchange rates independently?. (2023). Piccotti, Louis R ; Li, Xiao ; Biswas, Rita. In: Finance Research Letters. RePEc:eee:finlet:v:52:y:2023:i:c:s1544612322007000.

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2023Determinants of non-performing loans: An explainable ensemble and deep neural network approach. (2023). Nwafor, Obumneme Zimuzor. In: Finance Research Letters. RePEc:eee:finlet:v:56:y:2023:i:c:s1544612323004567.

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2023Influence of earnings management on forecasting corporate failure. (2023). Chlibi, Souhir ; Severin, Eric ; Veganzones, David. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:1:p:123-143.

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2023A Prediction Model for Spot LNG Prices Based on Machine Learning Algorithms to Reduce Fluctuation Risks in Purchasing Prices. (2023). Lee, Eul-Bum ; Choi, So-Won ; Yang, Sun-Feel. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:11:p:4271-:d:1153694.

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2023A Novel Model for Spot Price Forecast of Natural Gas Based on Temporal Convolutional Network. (2023). Wang, Mingyue ; Shen, Yamin ; Huang, Chiou-Jye ; Pei, Yadong. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:5:p:2321-:d:1083454.

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2023RCML: A Novel Algorithm for Regressing Price Movement during Commodity Futures Stress Testing Based on Machine Learning. (2023). Zhou, Hongcheng ; Pan, Wenfeng ; Liu, Caifeng. In: JRFM. RePEc:gam:jjrfmx:v:16:y:2023:i:6:p:285-:d:1155166.

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2023Benchmarking Biologically-Inspired Automatic Machine Learning for Economic Tasks. (2023). Yaniv-Rosenfeld, Amit ; Fleischer, Tzach ; Lazebnik, Teddy. In: Sustainability. RePEc:gam:jsusta:v:15:y:2023:i:14:p:11232-:d:1197230.

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2023The Artificial Intelligence Revolution in Digital Finance in Saudi Arabia: A Comprehensive Review and Proposed Framework. (2023). Al-Baity, Heyam H. In: Sustainability. RePEc:gam:jsusta:v:15:y:2023:i:18:p:13725-:d:1240235.

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2023Predicting Traffic Casualties Using Support Vector Machines with Heuristic Algorithms: A Study Based on Collision Data of Urban Roads. (2023). Du, Lijing ; Zhong, Weifan. In: Sustainability. RePEc:gam:jsusta:v:15:y:2023:i:4:p:2944-:d:1059552.

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2023When Elon Musk Changes his Tone, Does Bitcoin Adjust Its Tune?. (2023). Duc, Toan Luu. In: Computational Economics. RePEc:kap:compec:v:62:y:2023:i:2:d:10.1007_s10614-021-10230-6.

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2023Long Memory, Spurious Memory: Persistence in Range-Based Volatility of Exchange Rates. (2023). Sibbertsen, Philipp ; Afzal, Alia. In: Open Economies Review. RePEc:kap:openec:v:34:y:2023:i:4:d:10.1007_s11079-022-09686-2.

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2023THE SELECTION OF CONTROL VARIABLES IN CAPITAL STRUCTURE RESEARCH WITH MACHINE LEARNING. (2023). Bilgin, Rumeysa. In: SocArXiv. RePEc:osf:socarx:e26qf.

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2023The impact of the COVID-19 outbreak on the connectedness of the BRICS’s term structure. (2023). Umar, Zaghum ; Escribano, Ana ; Jareo, Francisco. In: Palgrave Communications. RePEc:pal:palcom:v:10:y:2023:i:1:d:10.1057_s41599-022-01500-1.

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2023MODERN APPROACHES TO FORECASTING FIRM DEFAULT RATES OVER THE SHORT TO MEDIUM TERM: AN APPLICATION TO A PANEL OF POLISH COMPANIES. (2023). Gerunov, Anton. In: Yearbook of the Faculty of Economics and Business Administration, Sofia University. RePEc:sko:yrbook:v:22:y:2023:i:1:p:5-15.

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2023Unemployment rate forecasting: LSTM-GRU hybrid approach. (2023). Yurtsever, Mustafa. In: Journal for Labour Market Research. RePEc:spr:jlabrs:v:57:y:2023:i:1:d:10.1186_s12651-023-00345-8.

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2023Evaluating interpretable machine learning predictions for cryptocurrencies. (2023). Rabhi, Fethi A ; el Majzoub, Ahmad ; Hussain, Walayat. In: Intelligent Systems in Accounting, Finance and Management. RePEc:wly:isacfm:v:30:y:2023:i:3:p:137-149.

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2023Forecasting nonperforming loans using machine learning. (2023). Chowdhury, Mohammad Ashraful ; Abdullah, Mohammad ; Moududulhuq, Syed ; Uddin, Ajim ; Ferdous, Mohammad Ashraful. In: Journal of Forecasting. RePEc:wly:jforec:v:42:y:2023:i:7:p:1664-1689.

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2023Yield spread selection in predicting recession probabilities. (2023). Ge, Desheng ; Choi, Jae Hyuk ; Sohn, Sungbin. In: Journal of Forecasting. RePEc:wly:jforec:v:42:y:2023:i:7:p:1772-1785.

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2023Forecasting global solar radiation using a robust regularization approach with mixture kernels. (2023). Jiang, HE. In: Journal of Forecasting. RePEc:wly:jforec:v:42:y:2023:i:8:p:1989-2010.

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Works by Theophilos Papadimitriou:


YearTitleTypeCited
2013Fiscal shocks and asymmetric effects: a comparative analysis In: Papers.
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paper3
2015Fiscal shocks and asymmetric effects: A comparative analysis.(2015) In: The Journal of Economic Asymmetries.
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This paper has nother version. Agregated cites: 3
article
2017Forecasting the U.S. Real House Price Index In: Papers.
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paper29
2015Forecasting the U.S. real house price index.(2015) In: Economic Modelling.
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article
2014Forecasting the U.S. Real House Price Index.(2014) In: Working Papers.
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This paper has nother version. Agregated cites: 29
paper
2014Forecasting the U.S. Real House Price Index.(2014) In: Working Paper series.
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paper
2014Forecasting the U.S. Real House Price Index.(2014) In: DUTH Research Papers in Economics.
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This paper has nother version. Agregated cites: 29
paper
2013Complex Networks and Banking Systems Supervision In: Working Papers Series.
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paper18
2013Complex networks and banking systems supervision.(2013) In: Physica A: Statistical Mechanics and its Applications.
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This paper has nother version. Agregated cites: 18
article
2015Yield Curve Point Triplets in Recession Forecasting In: International Finance.
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article6
2013Comparison of simple sum and Divisia monetary aggregates in GDP forecasting: a support vector machines approach In: Economics Bulletin.
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article9
2013Comparison of Simple Sum and Divisia Monetary Aggregates in GDP Forecasting: A Support Vector Machines Approach.(2013) In: Working Paper series.
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This paper has nother version. Agregated cites: 9
paper
2014Forecasting energy markets using support vector machines In: Energy Economics.
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article30
2018Forecasting bank failures and stress testing: A machine learning approach In: International Journal of Forecasting.
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article20
2014Public debt and private consumption in OECD countries In: The Journal of Economic Asymmetries.
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article6
2014Public Debt and Private Consumption in OECD countries.(2014) In: DUTH Research Papers in Economics.
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This paper has nother version. Agregated cites: 6
paper
2016International business cycle synchronization since the 1870s: Evidence from a novel network approach In: Physica A: Statistical Mechanics and its Applications.
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article6
2015International Business Cycle Synchronization since the 1870s: Evidence from a Novel Network Approach.(2015) In: MPRA Paper.
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paper
2015International Business Cycle Synchronization Since the 1870s: Evidence from a Novel Network Approach.(2015) In: DUTH Research Papers in Economics.
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This paper has nother version. Agregated cites: 6
paper
2016Bank supervision using the Threshold-Minimum Dominating Set In: Physica A: Statistical Mechanics and its Applications.
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article1
2017Income inequality: A complex network analysis of US states In: Physica A: Statistical Mechanics and its Applications.
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article1
2019A re-evaluation of the term spread as a leading indicator In: International Review of Economics & Finance.
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article2
2019Forecasting transportation demand for the U.S. market In: Transportation Research Part A: Policy and Practice.
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article2
2014Forecasting bank credit ratings In: Journal of Risk Finance.
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article10
2013Forecasting Bank Credit Ratings.(2013) In: Working Paper series.
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This paper has nother version. Agregated cites: 10
paper
2014Forecasting Bank Credit Ratings.(2014) In: DUTH Research Papers in Economics.
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This paper has nother version. Agregated cites: 10
paper
2014Forecasting bank credit ratings In: Journal of Risk Finance.
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article10
2021Forecasting Natural Gas Spot Prices with Machine Learning In: Energies.
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article3
2022Emerging Trends in Energy Economics In: Energies.
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article2
2023Machine Learning in Renewable Energy In: Energies.
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article0
2018Oil Market Efficiency under a Machine Learning Perspective In: Forecasting.
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article2
2022Forecasting Bitcoin Spikes: A GARCH-SVM Approach In: Forecasting.
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article0
2023Cryptocurrencies and Long-Range Trends In: IJFS.
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article0
2020Forecasting Credit Ratings of EU Banks In: IJFS.
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article1
2022The Convergence Evolution in Europe from a Complex Networks Perspective In: JRFM.
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article0
2022Supervision of Banking Networks Using the Multivariate Threshold-Minimum Dominating Set (mT-MDS) In: JRFM.
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article0
2021Forecasting the Stability and Growth Pact compliance using Machine Learning In: Working Papers.
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2022Forecasting the Stability and Growth Pact compliance using Machine Learning.(2022) In: Working Papers.
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2021Forecasting the Stability and Growth Pact compliance using Machine Learning..(2021) In: Working Papers of BETA.
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paper
2013Forecasting the insolvency of US banks using support vector machines (SVMs) based on local learning feature selection In: International Journal of Computational Economics and Econometrics.
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article2
2013Forecasting the insolvency of U.S. banks using Support Vector Machines (SVM) based on Local Learning Feature Selection.(2013) In: DUTH Research Papers in Economics.
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This paper has nother version. Agregated cites: 2
paper
2015Yield Curve and Recession Forecasting in a Machine Learning Framework In: Computational Economics.
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article23
2014Yield curve and Recession Forecasting in a Machine Learning Framework.(2014) In: Working Paper series.
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paper
2014Yield Curve and Recession Forecasting in a Machine Learning Framework.(2014) In: DUTH Research Papers in Economics.
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This paper has nother version. Agregated cites: 23
paper
2016Convergence of European Business Cycles: A Complex Networks Approach In: Computational Economics.
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article6
2014Convergence of European Business Cycles: A Complex Networks Approach.(2014) In: Working Paper series.
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This paper has nother version. Agregated cites: 6
paper
2018A Network Analysis of the United Kingdom’s Consumer Price Index In: Computational Economics.
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article3
2015A Network Analysis of the United Kingdom’s Consumer Price Index.(2015) In: DUTH Research Papers in Economics.
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This paper has nother version. Agregated cites: 3
paper
2021Gold Against the Machine In: Computational Economics.
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article2
2021Machine Learning in Economics and Finance In: Computational Economics.
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article8
2014US Inflation Dynamics on Long Range Data In: Working Papers.
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paper7
2015US inflation dynamics on long range data.(2015) In: DUTH Research Papers in Economics.
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2015US inflation dynamics on long-range data.(2015) In: Applied Economics.
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article
2015Income Inequality: A State-by-State Complex Network Analysis In: Working Papers.
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paper4
2016Income Inequality: A State-by-State Complex Network Analysis.(2016) In: DUTH Research Papers in Economics.
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2016Income Inequality: A State-by-State Complex Network Analysis.(2016) In: Working papers.
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2015The Informational Content of the Term-Spread in Forecasting the U.S. Inflation Rate: A Nonlinear Approach In: Working Papers.
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paper6
2019The Informational Content of the Term-Spread in Forecasting the U.S. Inflation Rate: A Nonlinear Approach.(2019) In: DUTH Research Papers in Economics.
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This paper has nother version. Agregated cites: 6
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2017The Informational Content of the Term Spread in Forecasting the US Inflation Rate: A Nonlinear Approach.(2017) In: Journal of Forecasting.
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2016The Term Premium as a Leading Macroeconomic Indicator In: Working Papers.
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paper3
2017Macroeconomic Uncertainty, Growth and Inflation in the Eurozone: A Causal Approach In: Working Papers.
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paper0
2018Macroeconomic uncertainty, growth and inflation in the Eurozone: a causal approach.(2018) In: Applied Economics Letters.
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This paper has nother version. Agregated cites: 0
article
2018The Fama 3 and Fama 5 factor models under a machine learning framework In: Working Paper series.
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paper2
2014A Novel Banking Supervision Method using the Minimum Dominating Set In: Working Paper series.
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2014A novel Banking Supervision Method using the Minimum Dominating Set.(2014) In: DUTH Research Papers in Economics.
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2014A Novel Banking Supervision Method Using the Minimum Dominating Set.(2014) In: Springer Optimization and Its Applications.
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chapter
2014European Business Cycle Synchronization: a Complex Network Perspective In: Working Paper series.
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paper1
2014European Business Cycle Synchronization: A Complex Network Perspective.(2014) In: Springer Optimization and Its Applications.
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chapter
2014Market Sentiment and Exchange Rate Directional Forecasting In: Working Paper series.
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2015Market sentiment and exchange rate directional forecasting.(2015) In: Algorithmic Finance.
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This paper has nother version. Agregated cites: 8
article
2013Forecasting the NOK/USD Exchange Rate with Machine Learning Techniques In: Working Paper series.
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2013Forecasting the NOK/USD Exchange Rate with Machine Learning Techniques.(2013) In: DUTH Research Papers in Economics.
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paper
2012Economic Viability And Macroeconomic Impact Of The Burgas - Alexandroupolis Pipeline In: DUTH Research Papers in Economics.
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2012Optimum Currency Areas within the US and Canada a Data Analysis Approach In: DUTH Research Papers in Economics.
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paper0
2012Directional forecasting in financial time series using support vector machines: The USD/Euro exchange rate In: DUTH Research Papers in Economics.
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2013Forecasting daily and monthly exchange rates with machine learning techniques In: DUTH Research Papers in Economics.
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2015Forecasting Daily and Monthly Exchange Rates with Machine Learning Techniques.(2015) In: Journal of Forecasting.
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article
2013Asymmetric Fiscal Policy Shocks In: DUTH Research Papers in Economics.
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2014Analyzing the co-movements of the US Gross State Product Growth with the use of the Minimum Dominating Set In: DUTH Research Papers in Economics.
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2014Convergence of European Business Cycles: Evidence from a Graph Theory-based Model In: DUTH Research Papers in Economics.
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2014A Novel Banking Supervision Method using a Threshold-Minimum Dominating Set In: DUTH Research Papers in Economics.
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2019Money Neutrality, Monetary Aggregates and Machine Learning In: DUTH Research Papers in Economics.
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2021Credit Rating Agencies: Evolution or Extinction? In: DUTH Research Papers in Economics.
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2016Testing Exchange Rate Models in a Small Open Economy: an SVR Approach In: Bulletin of Applied Economics.
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article3
2019A re-evaluation of the Feldstein-Horioka puzzle in the Eurozone In: Journal of Risk & Control.
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article0
2020Forecasting S&P 500 spikes: an SVM approach In: Digital Finance.
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article1
2021An AutoML application to forecasting bank failures In: Applied Economics Letters.
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article1
2022Mind the gap: forecasting euro-area output gaps with machine learning In: Applied Economics Letters.
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article1
2013Testing purchasing power parity in a DFA rolling Hurst framework: the case of 23 OECD countries In: Applied Financial Economics.
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article3
2019On the Stability and Growth Pact compliance: what is predictable with machine learning? In: Working Papers of BETA.
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2022The resilience of the U.S. banking system In: International Journal of Finance & Economics.
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article0
2022Forecasting unemployment in the euro area with machine learning In: Journal of Forecasting.
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