Mike Tsionas

66 total papers · 956 total citations
38 papers, 673 citations indexed

About

Mike Tsionas is a scholar working on Economics and Econometrics, Finance and Management Science and Operations Research. According to data from OpenAlex, Mike Tsionas has authored 38 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Economics and Econometrics, 13 papers in Finance and 10 papers in Management Science and Operations Research. Recurrent topics in Mike Tsionas's work include Banking stability, regulation, efficiency (6 papers), Financial Risk and Volatility Modeling (6 papers) and Efficiency Analysis Using DEA (6 papers). Mike Tsionas is often cited by papers focused on Banking stability, regulation, efficiency (6 papers), Financial Risk and Volatility Modeling (6 papers) and Efficiency Analysis Using DEA (6 papers). Mike Tsionas collaborates with scholars based in United Kingdom, United States and France. Mike Tsionas's co-authors include A. George Assaf, Florian Köck, Alexander Josiassen, Astrid Nørfelt, Anna Merika, Andreas Merikas, Wolfgang Drobetz, Dimitrios Anastasiou, Helen Louri and Dionisis Philippas and has published in prestigious journals such as European Journal of Operational Research, Energy Economics and Annals of Tourism Research.

In The Last Decade

Mike Tsionas

35 papers receiving 651 citations

Hit Papers

Understanding the COVID-1... 2020 2026 2022 2024 2020 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mike Tsionas 348 193 136 82 80 38 673
John Paolo R. Rivera 330 0.9× 111 0.6× 80 0.6× 38 0.5× 52 0.7× 48 608
Teck Hong Tan 138 0.4× 259 1.3× 117 0.9× 63 0.8× 28 0.3× 40 660
Shih-Ti Yu 134 0.4× 307 1.6× 110 0.8× 65 0.8× 60 0.8× 21 681
Darja Reuschke 297 0.9× 138 0.7× 70 0.5× 34 0.4× 28 0.3× 48 751
Youngsoo Choi 261 0.8× 45 0.2× 131 1.0× 64 0.8× 111 1.4× 50 707
John Manuel Barrios 178 0.5× 262 1.4× 64 0.5× 87 1.1× 69 0.9× 34 706
Alberto Amore 503 1.4× 126 0.7× 106 0.8× 20 0.2× 59 0.7× 22 692
Michael Troilo 261 0.8× 165 0.9× 163 1.2× 35 0.4× 78 1.0× 35 647
Karen M. Gibler 142 0.4× 431 2.2× 87 0.6× 120 1.5× 20 0.3× 58 780
Mingzhi Hu 263 0.8× 340 1.8× 24 0.2× 76 0.9× 27 0.3× 64 740

Countries citing papers authored by Mike Tsionas

Since Specialization
Citations

This map shows the geographic impact of Mike Tsionas'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 Mike Tsionas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mike Tsionas more than expected).

Fields of papers citing papers by Mike Tsionas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mike Tsionas. 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 Mike Tsionas. The network helps show where Mike Tsionas may publish in the future.

Co-authorship network of co-authors of Mike Tsionas

This figure shows the co-authorship network connecting the top 25 collaborators of Mike Tsionas. A scholar is included among the top collaborators of Mike Tsionas 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 Mike Tsionas. Mike Tsionas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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