Tomohiro Ando

161 papers receiving 3.7k citations

Tomohiro Ando's Hit Papers

Quantile Connectedness: Modeling Tail Behavior in the Topology of Financial Networks 2022 · 498 citations
4980+1+2Years since publication100200300400

Peers

Tomohiro Ando
Comparison fields: 5 of 184
  • General Energy 67
  • Urology 400
  • Statistics and Probability 506
  • Genetics 499
  • Finance 422
Replace Jürg Hüsler with:
Jürg Hüsler Switzerland
Frank Riedel Germany
Pierre Blanchard France
Richard A. Robb United States
Changyong Feng United States
Rose Baker United Kingdom
Weng Kee Wong United States
Gary Simon United States
Mei‐Ling Ting Lee United States
Philippe C. Cattin Switzerland
Tomohiro Ando relative to Jürg Hüsler Switzerland Jürg Hüsler's profile →
Citations per field
00.5×20×40×55.4×
Jürg Hüsler · 1×
Citations per year

Countries citing papers authored by Tomohiro Ando

Since Specialization
Citations

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

Fields of papers citing papers by Tomohiro Ando

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tomohiro Ando, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tomohiro Ando Line = papers co-authored together Tomohiro Ando links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 183 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Quantile Connectedness: Modeling Tail Behavior in the Topology of Financial Networks
Hit paper breakdown →
2022498
2 2018166
3 2010162
4 2007159
5 2013141
6 2013119
7 2018114
8 2010105
9 2008101
10 201190
11 200987
12 201585
13 201684
14 201080
15 201779
16 201676
17 201173
18 200771
19 201669
20 201059

About Tomohiro Ando

Tomohiro Ando is a scholar working on Surgery, Oral Surgery, Finance, Economics and Econometrics and Statistics and Probability, having authored 183 papers that have together received 3.8k indexed citations. Recurring topics across this work include Oral and Maxillofacial Pathology (17 papers), Statistical Methods and Inference (16 papers), Financial Risk and Volatility Modeling (16 papers), Spatial and Panel Data Analysis (13 papers), Statistical Methods and Bayesian Inference (12 papers), Monetary Policy and Economic Impact (12 papers), Salivary Gland Tumors Diagnosis and Treatment (12 papers) and Advanced Statistical Methods and Models (11 papers). The work is most often cited by research in General Energy (67 citations), Urology (400 citations), Statistics and Probability (506 citations), Genetics (499 citations) and Finance (422 citations). Tomohiro Ando has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Yongcheol Shin, Matthew Greenwood‐Nimmo, Jushan Bai, Teruo Okano, Masayuki Yamato, Takanori Iwata, Isao Ishikawa, Kaoru Washio, Ker-Chau Li and Arnold Zellner. Their work appears in journals such as Econometric Reviews, Journal of Econometrics, Journal of Craniofacial Surgery, International Journal of Forecasting and European Radiology.

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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