Tomohiro Ando

166 papers receiving 3.9k citations

Tomohiro Ando's Hit Papers

Quantile Connectedness: Modeling Tail Behavior in the Topology of Financial Networks 2022 · 534 citations
5340+1+2Years since publication100200300400500

Peers

Tomohiro Ando
Comparison fields: 5 of 184
  • Urology 362
  • General Energy 70
  • Statistics and Probability 525
  • Genetics 425
  • Finance 436
Replace Jürg Hüsler with:
Jürg Hüsler Switzerland
Frank Riedel Germany
Marepalli B. Rao United States
Changyong Feng United States
Rose Baker United Kingdom
Carl G. Simon United States
Pierre Blanchard France
Zhi Wei United States
Weng Kee Wong United States
Mei‐Ling Ting Lee United States
Tomohiro Ando relative to Jürg Hüsler Switzerland Jürg Hüsler's profile →
Citations per field
00.5×20×40×53.1×
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 189 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 →
2022534
2 2018176
3 2007171
4 2010168
5 2013142
6 2013131
7 2018118
8 2010117
9 2008105
10 2009100
11 201199
12 201089
13 201587
14 201687
15 201781
16 201680
17 201177
18 200775
19 201670
20 201061

About Tomohiro Ando

Tomohiro Ando is a scholar working on Surgery, Finance, Economics and Econometrics, Statistics and Probability and Oral Surgery, having authored 189 papers that have together received 4.1k indexed citations. Recurring topics across this work include Statistical Methods and Inference (16 papers), Financial Risk and Volatility Modeling (16 papers), Oral and Maxillofacial Pathology (15 papers), Monetary Policy and Economic Impact (13 papers), Spatial and Panel Data Analysis (13 papers), Statistical Methods and Bayesian Inference (12 papers), Advanced Statistical Methods and Models (12 papers) and Salivary Gland Tumors Diagnosis and Treatment (9 papers). The work is most often cited by research in Urology (362 citations), General Energy (70 citations), Statistics and Probability (525 citations), Genetics (425 citations) and Finance (436 citations). Tomohiro Ando has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Matthew Greenwood‐Nimmo, Yongcheol Shin, Jushan Bai, Teruo Okano, Masayuki Yamato, Takanori Iwata, Isao Ishikawa, Kaoru Washio, Arnold Zellner and Ker-Chau Li. Their work appears in journals such as Journal of Craniofacial Surgery, Econometric Reviews, International Journal of Forecasting, Journal of Econometrics 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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