Hiroki Tsurumi

87 total papers · 609 total citations
49 papers, 422 citations indexed

About

Hiroki Tsurumi is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics and Statistics and Probability. According to data from OpenAlex, Hiroki Tsurumi has authored 49 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in General Economics, Econometrics and Finance, 17 papers in Economics and Econometrics and 11 papers in Statistics and Probability. Recurrent topics in Hiroki Tsurumi's work include Monetary Policy and Economic Impact (12 papers), Financial Risk and Volatility Modeling (9 papers) and Statistical Methods and Inference (7 papers). Hiroki Tsurumi is often cited by papers focused on Monetary Policy and Economic Impact (12 papers), Financial Risk and Volatility Modeling (9 papers) and Statistical Methods and Inference (7 papers). Hiroki Tsurumi collaborates with scholars based in United States, Netherlands and Japan. Hiroki Tsurumi's co-authors include Lyle D. Broemeling, Jean‐François Richard, Mike West, Pekka Ilmakunnas, S. I. RADCHENKO, Jun Wang, Jouahn Nam, Elmira Valiyeva, Y. Yamada and Masahiro Sasaki and has published in prestigious journals such as Journal of the American Statistical Association, American Economic Review and Journal of International Business Studies.

In The Last Decade

Hiroki Tsurumi

47 papers receiving 374 citations

Author Peers

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

Author Last Decade Papers Cites
Hiroki Tsurumi 176 137 112 89 45 49 422
Gordon Fisher 260 1.5× 134 1.0× 97 0.9× 93 1.0× 21 0.5× 30 469
Walter Oberhofer 164 0.9× 92 0.7× 121 1.1× 39 0.4× 21 0.5× 25 414
Demián Pouzo 201 1.1× 144 1.1× 227 2.0× 129 1.4× 21 0.5× 26 481
Jörgen Hellström 189 1.1× 54 0.4× 78 0.7× 181 2.0× 14 0.3× 30 453
Potluri Rao 152 0.9× 64 0.5× 89 0.8× 44 0.5× 35 0.8× 19 381
Kimio Morimune 157 0.9× 108 0.8× 167 1.5× 80 0.9× 12 0.3× 37 379
Muhammad Ijaz 113 0.6× 30 0.2× 122 1.1× 60 0.7× 62 1.4× 44 399
Ted Juhl 320 1.8× 130 0.9× 57 0.5× 109 1.2× 35 0.8× 22 474
Sankarshan Basu 212 1.2× 46 0.3× 66 0.6× 223 2.5× 40 0.9× 48 476
Xiaoxia Shi 210 1.2× 82 0.6× 161 1.4× 34 0.4× 8 0.2× 43 482

Countries citing papers authored by Hiroki Tsurumi

Since Specialization
Citations

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

Fields of papers citing papers by Hiroki Tsurumi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroki Tsurumi

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroki Tsurumi. A scholar is included among the top collaborators of Hiroki Tsurumi 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 Hiroki Tsurumi. Hiroki Tsurumi 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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2026