Evangelos Stavroulakis

537 total citations
8 papers, 348 citations indexed

About

Evangelos Stavroulakis is a scholar working on Finance, Economics and Econometrics and Accounting. According to data from OpenAlex, Evangelos Stavroulakis has authored 8 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Finance, 3 papers in Economics and Econometrics and 3 papers in Accounting. Recurrent topics in Evangelos Stavroulakis's work include Banking stability, regulation, efficiency (4 papers), Financial Distress and Bankruptcy Prediction (3 papers) and Credit Risk and Financial Regulations (2 papers). Evangelos Stavroulakis is often cited by papers focused on Banking stability, regulation, efficiency (4 papers), Financial Distress and Bankruptcy Prediction (3 papers) and Credit Risk and Financial Regulations (2 papers). Evangelos Stavroulakis collaborates with scholars based in Greece and Cyprus. Evangelos Stavroulakis's co-authors include Αναστάσιος Πετρόπουλος, Sotirios Chatzis, Vasileios Siakoulis and Αναστάσιος Πετρόπουλος and has published in prestigious journals such as Expert Systems with Applications, International Journal of Forecasting and Journal of Behavioral Finance.

In The Last Decade

Evangelos Stavroulakis

8 papers receiving 333 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Evangelos Stavroulakis Greece 6 179 138 112 91 60 8 348
Karyl B. Leggio United States 10 205 1.1× 192 1.4× 160 1.4× 72 0.8× 64 1.1× 18 413
Oktay Taş Türkiye 10 164 0.9× 182 1.3× 186 1.7× 95 1.0× 208 3.5× 50 546
Javier Oliver Spain 13 219 1.2× 141 1.0× 128 1.1× 32 0.4× 45 0.8× 27 422
Vincenzo Pacelli Italy 10 81 0.5× 189 1.4× 145 1.3× 90 1.0× 27 0.5× 29 350
Zhifang He China 14 140 0.8× 484 3.5× 192 1.7× 66 0.7× 50 0.8× 30 653
David Alaminos Spain 12 99 0.6× 146 1.1× 79 0.7× 116 1.3× 22 0.4× 37 359
Michael Hagenau Germany 5 204 1.1× 101 0.7× 99 0.9× 31 0.3× 35 0.6× 7 293
Anqi Liu United States 9 135 0.8× 173 1.3× 181 1.6× 32 0.4× 20 0.3× 21 330
Charles E. Mossman Canada 5 140 0.8× 125 0.9× 147 1.3× 183 2.0× 47 0.8× 7 360
An-Sing Chen Taiwan 5 270 1.5× 209 1.5× 145 1.3× 21 0.2× 58 1.0× 8 373

Countries citing papers authored by Evangelos Stavroulakis

Since Specialization
Citations

This map shows the geographic impact of Evangelos Stavroulakis's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Evangelos Stavroulakis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evangelos Stavroulakis more than expected).

Fields of papers citing papers by Evangelos Stavroulakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Evangelos Stavroulakis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Evangelos Stavroulakis. The network helps show where Evangelos Stavroulakis may publish in the future.

Co-authorship network of co-authors of Evangelos Stavroulakis

This figure shows the co-authorship network connecting the top 25 collaborators of Evangelos Stavroulakis. A scholar is included among the top collaborators of Evangelos Stavroulakis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Evangelos Stavroulakis. Evangelos Stavroulakis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Πετρόπουλος, Αναστάσιος, et al.. (2023). Is COVID-19 reflected in AnaCredit dataset? A big data - machine learning approach for analysing behavioural patterns using loan level granular information. RePEc: Research Papers in Economics. 11 indexed citations
2.
Πετρόπουλος, Αναστάσιος, et al.. (2023). Is COVID-19 reflected in AnaCredit dataset? A big data - machine learning approach for analysing behavioural patterns using loan level granular information. SSRN Electronic Journal. 2 indexed citations
3.
Πετρόπουλος, Αναστάσιος, Vasileios Siakoulis, & Evangelos Stavroulakis. (2022). Towards an early warning system for sovereign defaults leveraging on machine learning methodologies. Intelligent systems in accounting, finance and management. 29(2). 118–129. 5 indexed citations
4.
Πετρόπουλος, Αναστάσιος, et al.. (2021). Interest rate pass through in the deposit and loan products provided by Greek banks. 11 indexed citations
5.
Πετρόπουλος, Αναστάσιος, et al.. (2021). Employing Google Trends and Deep Learning in Forecasting Financial Market Turbulence. Journal of Behavioral Finance. 23(3). 353–365. 20 indexed citations
6.
Πετρόπουλος, Αναστάσιος, et al.. (2021). Interest Rate Pass Through in the Deposit and Loan Products Provided by Greek Banks. SSRN Electronic Journal. 3 indexed citations
7.
Πετρόπουλος, Αναστάσιος, et al.. (2020). Predicting bank insolvencies using machine learning techniques. International Journal of Forecasting. 36(3). 1092–1113. 91 indexed citations
8.
Chatzis, Sotirios, et al.. (2018). Forecasting stock market crisis events using deep and statistical machine learning techniques. Expert Systems with Applications. 112. 353–371. 205 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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