German G Creamer : Citation Profile

Are you German G Creamer?

Stevens Institute of Technology (75% share)

3

H index

1

i10 index

93

Citations

RESEARCH PRODUCTION:

16

Articles

RESEARCH ACTIVITY:

   19 years (2004 - 2023). See details.
   Cites by year: 4
   Journals where German G Creamer has often published
   Relations with other researchers
   Recent citing documents: 25.    Total self citations: 0 (0 %)

MORE DETAILS IN:
ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/pcr283
   Updated: 2024-11-08    RAS profile: 2023-04-25    
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Relations with other researchers

Works with:

Authors registered in RePEc who have co-authored more than one work in the last five years with German G Creamer.

Is cited by:

Cucculelli, Marco (3)

Magazzino, Cosimo (2)

Drachal, Krzysztof (2)

Hayes, Dermot (2)

Zhang, Wendong (2)

Chan, Ho Fai (1)

Apergis, Nicholas (1)

Jiao, Anqi (1)

Nguyen, Quyen (1)

Hensher, David (1)

Morovati, Mohammad (1)

Cites to:

Shleifer, Andrei (6)

Shen, Dehua (5)

Fama, Eugene (4)

Summers, Lawrence (4)

Engelberg, Joseph (3)

Waldmann, Robert (3)

Lebaron, Blake (3)

Mantegna, Rosario (3)

Stein, Jeremy (3)

Altman, Edward (2)

La Porta, Rafael (2)

Main data

Where German G Creamer has published?

Journals with more than one article published# docs
Quantitative Finance6
Computational Economics3
Sustainability3

Recent works citing German G Creamer (2024 and 2023)

YearTitle of citing document
2024Targeted aspect-based emotion analysis to detect opportunities and precaution in financial Twitter messages. (2024). Gonz, Francisco J ; Barros-Vila, Ana ; de Arriba, Francisco ; Garc, Silvia. In: Papers. RePEc:arx:papers:2404.08665.

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2023Time-Varying approaches for Long-Term Electric Load Forecasting under economic shocks. (2023). Dadabada, Pradeep Kumar ; Jaipuria, Sanjita ; Thangjam, Aditya. In: Applied Energy. RePEc:eee:appene:v:333:y:2023:i:c:s0306261922018591.

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2023Which exogenous driver is informative in forecasting European carbon volatility: Bond, commodity, stock or uncertainty?. (2023). Chevallier, Julien ; Ma, Feng ; Tan, Xueping ; Guo, Xiaozhu ; Wang, Jiqian. In: Energy Economics. RePEc:eee:eneeco:v:117:y:2023:i:c:s0140988322005485.

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2023Using machine learning to select variables in data envelopment analysis: Simulations and application using electricity distribution data. (2023). Soderberg, Magnus ; Sjolander, Par ; Mnsson, Kristofer ; Javed, Farrukh ; Duras, Toni. In: Energy Economics. RePEc:eee:eneeco:v:120:y:2023:i:c:s0140988323001196.

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2023Machine learning sentiment analysis, COVID-19 news and stock market reactions. (2023). Pelizzon, Loriana ; Nofer, Michael ; Hinz, Oliver ; Costola, Michele. In: Research in International Business and Finance. RePEc:eee:riibaf:v:64:y:2023:i:c:s0275531923000077.

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2023Prospects and Challenges of the Machine Learning and Data-Driven Methods for the Predictive Analysis of Power Systems: A Review. (2023). Muraviev, Konstantin ; Selivanov, Kirill ; Vlasov, Andrey ; Strielkowski, Wadim ; Shakhnov, Vadim. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:10:p:4025-:d:1144365.

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2023Towards Achieving Sustainability in the BRICS Economies: The Role of Renewable Energy Consumption and Economic Risk. (2023). Magazzino, Cosimo ; Aa, Mehmet ; Ojekemi, Opeoluwa Seun. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:14:p:5287-:d:1190897.

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2023Artificial Intelligence and Mathematical Models of Power Grids Driven by Renewable Energy Sources: A Survey. (2023). Lind, Pedro G ; Andreadakis, Zacharias E ; Kumarasamy, Suresh ; Srinivasan, Sabarathinam. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:14:p:5383-:d:1194276.

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2023Artificial Intelligence and Machine Learning for Energy Consumption and Production in Emerging Markets: A Review. (2023). Mhlanga, David. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:2:p:745-:d:1029301.

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2023Mapping the Energy Sector from a Risk Management Research Perspective: A Bibliometric and Scientific Approach. (2023). Wieczorek-Kosmala, Monika ; Gorze-Mitka, Iwona. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:4:p:2024-:d:1072680.

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2023Precious Metals Comovements in Turbulent Times: COVID-19 and the Ukrainian Conflict. (2023). Michis, Antonis A. In: JRFM. RePEc:gam:jjrfmx:v:16:y:2023:i:5:p:280-:d:1151894.

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2023Accounting and Decomposition of Energy Footprint: Evidence from 28 Sectors in China. (2023). Zhang, Wenbin ; Gao, Zhimei ; Guo, Zixun. In: Sustainability. RePEc:gam:jsusta:v:15:y:2023:i:17:p:13148-:d:1230629.

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2023Research on the Bearing Capacity and Sustainable Construction of a Vacuum Drainage Pipe Pile. (2023). Liang, Jia-Xin ; Zou, Yuan ; Tang, Xiao-Wu ; Lin, Wei-Kang. In: Sustainability. RePEc:gam:jsusta:v:15:y:2023:i:9:p:7555-:d:1139490.

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2023The History of Energy Efficiency in Economics: Breakpoints and Regularities. (2023). Missemer, Antoine ; Giraudet, Louis-Gaetan. In: Post-Print. RePEc:hal:journl:halshs-02301636.

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2023LSTM based Anomaly Detection in Time Series for United States exports and imports. (2023). Aggarwal, Sakshi. In: MPRA Paper. RePEc:pra:mprapa:117149.

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2023Impact of public news sentiment on stock market index return and volatility. (2023). Corazza, Marco ; Costola, Michele ; Anese, Gianluca ; Pelizzon, Loriana. In: Computational Management Science. RePEc:spr:comgts:v:20:y:2023:i:1:d:10.1007_s10287-023-00454-2.

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2023Forecasting the term structure of commodities future prices using machine learning. (2023). Saporito, Yuri F ; Figueiredo, Mario. In: Digital Finance. RePEc:spr:digfin:v:5:y:2023:i:1:d:10.1007_s42521-022-00069-3.

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2023Prediction of patent grant and interpreting the key determinants: an application of interpretable machine learning approach. (2023). Ni, HE ; Yao, LI. In: Scientometrics. RePEc:spr:scient:v:128:y:2023:i:9:d:10.1007_s11192-023-04736-z.

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Works by German G Creamer:

YearTitleTypeCited
2019Machine learning in energy economics and finance: A review In: Energy Economics.
[Full Text][Citation analysis]		article72
2004Regionalismo abierto en la Comunidad Andina. ¿Creación o desviación de comercio? In: El Trimestre Económico.
[Citation analysis]		article1
2021Volatility and Risk in the Energy Market: A Trade Network Approach In: Sustainability.
[Full Text][Citation analysis]		article1
2021Overallocation and Correction of Carbon Emissions in the Evaluation of Carbon Footprint In: Sustainability.
[Full Text][Citation analysis]		article2
2023Healthcare Sustainability: Hospitalization Rate Forecasting with Transfer Learning and Location-Aware News Analysis In: Sustainability.
[Full Text][Citation analysis]		article0
2022Discovering Organizational Hierarchy through a Corporate Ranking Algorithm: The Enron Case In: Complexity.
[Full Text][Citation analysis]		article0
2010Using Boosting for Financial Analysis and Performance Prediction: Application to S&P 500 Companies, Latin American ADRs and Banks In: Computational Economics.
[Full Text][Citation analysis]		article0
2017Can Sentiment Analysis and Options Volume Anticipate Future Returns? In: Computational Economics.
[Full Text][Citation analysis]		article2
2021Leveraging Social Media to Predict Continuation and Reversal in Asset Prices In: Computational Economics.
[Full Text][Citation analysis]		article3
2011Linking Entity Resolution and Risk In: Eastern Economic Journal.
[Full Text][Citation analysis]		article0
2010Automated trading with boosting and expert weighting In: Quantitative Finance.
[Full Text][Citation analysis]		article8
2012Model calibration and automated trading agent for Euro futures In: Quantitative Finance.
[Full Text][Citation analysis]		article1
2019Leveraging a call-put ratio as a trading signal In: Quantitative Finance.
[Full Text][Citation analysis]		article2
2019Editors foreword In: Quantitative Finance.
[Full Text][Citation analysis]		article0
2019A multivariate distance nonlinear causality test based on partial distance correlation: a machine learning application to energy futures In: Quantitative Finance.
[Full Text][Citation analysis]		article1
2023Metalearning of time series: an approximate dynamic programming approach In: Quantitative Finance.
[Full Text][Citation analysis]		article0

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