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: 2026-01-03    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)

Desai, Ajit (1)

Chapman, James (1)

Tiwari, Aviral (1)

Resce, Giuliano (1)

Mirza, Nawazish (1)

Bolivar Rosales, Osmar (1)

Cites to:

Papadimitriou, Theophilos (10)

Gogas, Periklis (10)

Saadaoui, Jamel (5)

Aizenman, Joshua (5)

Eichenauer, Vera (4)

Uddin, Gazi (4)

Sturm, Jan-Egbert (4)

Campos, Nauro (4)

Philippas, Dionisis (3)

Taylor, Alan (3)

Siriopoulos, Costas (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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