Emmanouil Sofianos : Citation Profile

Bureau d'Économie Théorique et Appliquée (BETA)

2

H index

2

i10 index

33

Citations

RESEARCH PRODUCTION:

7

Articles

5

Papers

RESEARCH ACTIVITY:

   6 years (2019 - 2025). See details.
   Cites by year: 5
   Journals where Emmanouil Sofianos has often published
   Relations with other researchers
   Recent citing documents: 22.    Total self citations: 7 (17.5 %)

MORE DETAILS IN:
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   Permalink: http://citec.repec.org/pso695
   Updated: 2025-12-27    RAS profile: 2025-09-09    
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Relations with other researchers

Works with:

Gogas, Periklis (9)

Papadimitriou, Theophilos (5)

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

Is cited by:

Papadimitriou, Theophilos (2)

Gogas, Periklis (2)

Tiwari, Aviral (1)

Desai, Ajit (1)

Resce, Giuliano (1)

Mirza, Nawazish (1)

Bolivar Rosales, Osmar (1)

Chapman, James (1)

Cites to:

Gogas, Periklis (10)

Papadimitriou, Theophilos (10)

Saadaoui, Jamel (5)

Aizenman, Joshua (5)

Campos, Nauro (4)

Sturm, Jan-Egbert (4)

Eichenauer, Vera (4)

Uddin, Gazi (4)

Siriopoulos, Costas (3)

Obstfeld, Maurice (3)

Shambaugh, Jay (3)

Main data

Where Emmanouil Sofianos has published?

Journals with more than one article published# docs
Energies2

Recent works citing Emmanouil Sofianos (2025 and 2024)

YearTitle of citing document
2024Unraveling the crystal ball: Machine learning models for crude oil and natural gas volatility forecasting. (2024). Tiwari, Aviral ; Hossain, Mohammad Razib ; Sharma, Gagan Deep ; Dev, Dhairya ; Rao, Amar. In: Energy Economics. RePEc:eee:eneeco:v:134:y:2024:i:c:s0140988324003165.

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2024Inflation prediction in emerging economies: Machine learning and FX reserves integration for enhanced forecasting. (2024). Mirza, Nawazish ; Abbas, Syed Kumail ; Umar, Muhammad ; Naqvi, Bushra. In: International Review of Financial Analysis. RePEc:eee:finana:v:94:y:2024:i:c:s1057521924001704.

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2024Estimation of global natural gas spot prices using big data and symbolic regression. (2024). Praksova, Renata ; Staji, Ljubia ; Brki, Dejan. In: Resources Policy. RePEc:eee:jrpoli:v:95:y:2024:i:c:s0301420724005117.

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2024GDP nowcasting: A machine learning and remote sensing data-based approach for Bolivia. (2024). Bolivar Rosales, Osmar. In: Latin American Journal of Central Banking (previously Monetaria). RePEc:eee:lajcba:v:5:y:2024:i:3:s2666143824000085.

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2024How does the economic structure break change the forecast effect of money and credit on output? Evidence based on machine learning algorithms. (2024). Zhao, Zhihui ; Tian, Yuan ; Lu, Yao ; Zhan, Minghua. In: Pacific-Basin Finance Journal. RePEc:eee:pacfin:v:84:y:2024:i:c:s0927538x24000763.

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2024Using machine learning for NEETs and sustainability studies: Determining best machine learning algorithms. (2024). Berigel, Muhammet ; Bozta, Gizem Dilan ; Neagu, Gabriela ; Rocca, Antonella. In: Socio-Economic Planning Sciences. RePEc:eee:soceps:v:94:y:2024:i:c:s0038012124001204.

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2025An Applied Study on Predicting Natural Gas Prices Using Mixed Models. (2025). Liu, Xuhui ; Chun, Dongphil ; Tang, Shu. In: Energies. RePEc:gam:jeners:v:18:y:2025:i:19:p:5303-:d:1766643.

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2025Comparative Analysis of Machine Learning and Deep Learning Models for Tourism Demand Forecasting with Economic Indicators. (2025). Vasenska, Ivanka. In: FinTech. RePEc:gam:jfinte:v:4:y:2025:i:3:p:46-:d:1739247.

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2025Identification of Investment-Ready SMEs: A Machine Learning Framework to Enhance Equity Access and Economic Growth. (2025). Gogas, Periklis ; Giannakis, Nikolaos ; Kontos, Andreas ; Goumenidis, Panagiotis ; Papadimitriou, Theophilos. In: Forecasting. RePEc:gam:jforec:v:7:y:2025:i:3:p:51-:d:1750241.

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2025A Study on Predicting Natural Gas Prices Utilizing Ensemble Model. (2025). Liu, Yusi ; Leng, Wei ; Jiang, Zhijie. In: Sustainability. RePEc:gam:jsusta:v:17:y:2025:i:18:p:8514-:d:1755291.

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2024Are national or regional surveys useful for nowcasting regional jobseekers? The case of the French region of Pays-de-la-Loire. (2024). Darne, Olivier ; Cariou, Clement ; Charles, Amelie. In: Post-Print. RePEc:hal:journl:hal-04675599.

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2025Mapping Theoretical Perspectives for Requisite Resilience. (2025). Burger-Helmchen, Thierry ; Muller, Emmanuel ; Neukam, Marion. In: Post-Print. RePEc:hal:journl:hal-05296104.

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2024Implementing Machine Learning Methods in Estimating the Size of the Non-observed Economy. (2024). Lazebnik, Teddy ; Shami, Labib. In: Computational Economics. RePEc:kap:compec:v:63:y:2024:i:4:d:10.1007_s10614-023-10369-4.

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2024Autoregressive Random Forests: Machine Learning and Lag Selection for Financial Research. (2024). Polyzos, Efstathios ; Siriopoulos, Costas. In: Computational Economics. RePEc:kap:compec:v:64:y:2024:i:1:d:10.1007_s10614-023-10429-9.

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2025Going a Step Deeper Down the Rabbit Hole: Deep Learning Model to Measure the Size of the Unregistered Economy Activity. (2025). Lazebnik, Teddy. In: Computational Economics. RePEc:kap:compec:v:65:y:2025:i:3:d:10.1007_s10614-024-10606-4.

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2025Predicting Regional Unemployment in the EU. (2025). Resce, Giuliano ; Zanoni, Angela ; Paglialunga, Elena. In: Economics & Statistics Discussion Papers. RePEc:mol:ecsdps:esdp25101.

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2025Machine learning price index forecasts of flat steel products. (2025). Xu, Xiaojie ; Jin, Bingzi. In: Mineral Economics. RePEc:spr:minecn:v:38:y:2025:i:1:d:10.1007_s13563-024-00457-8.

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2024Predicting financial crises: an evaluation of machine learning algorithms and model explainability for early warning systems. (2024). Reimann, Chris. In: Review of Evolutionary Political Economy. RePEc:spr:revepe:v:5:y:2024:i:1:d:10.1007_s43253-024-00114-4.

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2025Water Resources Quality Indicators Monitoring by Nonlinear Programming and Simulated Annealing Optimization with Ensemble Learning Approaches. (2025). Shabanlou, Saeid ; Poursaeid, Mojtaba ; Poursaeed, Amir Hossein. In: Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA). RePEc:spr:waterr:v:39:y:2025:i:3:d:10.1007_s11269-024-04006-4.

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2025Predictive Modeling for Natural Gas Prices in Romania Using Time Series Data and Average Temperature. (2025). Alexandru, Stoica ; Cristian, Urse ; Konstantinos, Kofidis ; Artemis, Aidoni. In: Proceedings of the International Conference on Business Excellence. RePEc:vrs:poicbe:v:19:y:2025:i:1:p:2505-2515:n:1021.

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2025Predictive Modeling for Natural Gas Prices in Romania Using Time Series Data and Average Temperature. (2025). Artemis, Aidoni ; Konstantinos, Kofidis ; Alexandru, Stoica ; Cristian, Urse. In: Proceedings of the International Conference on Business Excellence. RePEc:vrs:poicbe:v:19:y:2025:i:1:p:4443-4453:n:1041.

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2024Are national or regional surveys useful for nowcasting regional jobseekers? The case of the French region of Pays‐de‐la‐Loire. (2024). Darne, Olivier ; Cariou, Clement ; Charles, Amelie. In: Journal of Forecasting. RePEc:wly:jforec:v:43:y:2024:i:6:p:2341-2357.

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Works by Emmanouil Sofianos:

YearTitleTypeCited
2025The EU Public Debt Synchronization: A Complex Networks Approach In: Economies.
[Full Text][Citation analysis]		article1
2021Forecasting Natural Gas Spot Prices with Machine Learning In: Energies.
[Full Text][Citation analysis]		article13
2024Forecasting East and West Coast Gasoline Prices with Tree-Based Machine Learning Algorithms In: Energies.
[Full Text][Citation analysis]		article0
2023Cryptocurrencies and Long-Range Trends In: IJFS.
[Full Text][Citation analysis]		article0
2025Machine learning forecasting in the macroeconomic environment: the case of the US output gap In: Post-Print.
[Citation analysis]		paper1
2025Machine learning forecasting in the macroeconomic environment: the case of the US output gap.(2025) In: Economic Change and Restructuring.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 1		article
2025Do International Reserve Holdings Still Predict Economic Crises? Insights from Recent Machine Learning Techniques In: Working Papers.
[Full Text][Citation analysis]		paper0
2019Money Neutrality, Monetary Aggregates and Machine Learning In: DUTH Research Papers in Economics.
[Full Text][Citation analysis]		paper2
2022Mind the gap: forecasting euro-area output gaps with machine learning In: Applied Economics Letters.
[Full Text][Citation analysis]		article2
2024Forecasting Public Debt in the Euro Area Using Machine Learning: Decision Tools for Financial Markets. In: Working Papers of BETA.
[Full Text][Citation analysis]		paper0
2025Using DSGE and Machine Learning to Forecast Public Debt for France. In: Working Papers of BETA.
[Full Text][Citation analysis]		paper0
2022Forecasting unemployment in the euro area with machine learning In: Journal of Forecasting.
[Full Text][Citation analysis]		article14

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