Giichi Tomizawa

12 total papers · 860 total citations
5 papers, 687 citations indexed

About

Giichi Tomizawa is a scholar working on Management Science and Operations Research, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Giichi Tomizawa has authored 5 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Management Science and Operations Research, 1 paper in Sociology and Political Science and 1 paper in Artificial Intelligence. Recurrent topics in Giichi Tomizawa's work include Multi-Criteria Decision Making (2 papers), Mass Spectrometry Techniques and Applications (1 paper) and AI-based Problem Solving and Planning (1 paper). Giichi Tomizawa is often cited by papers focused on Multi-Criteria Decision Making (2 papers), Mass Spectrometry Techniques and Applications (1 paper) and AI-based Problem Solving and Planning (1 paper). Giichi Tomizawa collaborates with scholars based in Japan, United States and Australia. Giichi Tomizawa's co-authors include Akira Ishikawa, Michio Amagasa, Tetsuo Shiga, Hiroshi Mieno, Shigeru Sugai, Theodore J. Williams, Isao Nishi and Kunihiko Tanaka and has published in prestigious journals such as Fuzzy Sets and Systems, Group Decision and Negotiation and PubMed.

In The Last Decade

Giichi Tomizawa

4 papers receiving 647 citations

Hit Papers

The max-min Delphi method... 1993 2026 2004 2015 1993 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Giichi Tomizawa 250 189 104 70 68 5 687
Michio Amagasa 283 1.1× 196 1.0× 106 1.0× 75 1.1× 72 1.1× 11 761
Hiroshi Mieno 250 1.0× 190 1.0× 104 1.0× 70 1.0× 68 1.0× 17 748
Chao-Che Hsu 326 1.3× 203 1.1× 59 0.6× 114 1.6× 63 0.9× 17 766
Betty Chang 348 1.4× 326 1.7× 36 0.3× 201 2.9× 51 0.8× 8 757
Huang-Chu Chen 324 1.3× 127 0.7× 33 0.3× 96 1.4× 50 0.7× 10 600
Gerhard Mensch 230 0.9× 137 0.7× 65 0.6× 76 1.1× 20 0.3× 18 778
Ming‐Tsang Lu 261 1.0× 225 1.2× 79 0.8× 103 1.5× 40 0.6× 22 744
Chi-Jen Lin 290 1.2× 129 0.7× 35 0.3× 55 0.8× 29 0.4× 15 572
Muhammad Waris Ali Khan 216 0.9× 171 0.9× 64 0.6× 55 0.8× 98 1.4× 25 665
Mehpare Timor 222 0.9× 125 0.7× 60 0.6× 74 1.1× 40 0.6× 21 638

Countries citing papers authored by Giichi Tomizawa

Since Specialization
Citations

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

Fields of papers citing papers by Giichi Tomizawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giichi Tomizawa

This figure shows the co-authorship network connecting the top 25 collaborators of Giichi Tomizawa. A scholar is included among the top collaborators of Giichi Tomizawa 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 Giichi Tomizawa. Giichi Tomizawa 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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