Seiichi Iwamoto

484 total citations
47 papers, 294 citations indexed

About

Seiichi Iwamoto is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Control and Systems Engineering. According to data from OpenAlex, Seiichi Iwamoto has authored 47 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 16 papers in Computational Theory and Mathematics and 13 papers in Control and Systems Engineering. Recurrent topics in Seiichi Iwamoto's work include Reinforcement Learning in Robotics (20 papers), Optimization and Variational Analysis (10 papers) and Advanced Control Systems Optimization (10 papers). Seiichi Iwamoto is often cited by papers focused on Reinforcement Learning in Robotics (20 papers), Optimization and Variational Analysis (10 papers) and Advanced Control Systems Optimization (10 papers). Seiichi Iwamoto collaborates with scholars based in Japan, Canada and Australia. Seiichi Iwamoto's co-authors include Toshiharu Fujita, Moshe Sniedovich, Chung-Lie Wang and Masami Yasuda and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Applied Mathematics and Computation and Computers & Mathematics with Applications.

In The Last Decade

Seiichi Iwamoto

43 papers receiving 243 citations

Peers

Seiichi Iwamoto
Comparison fields: 5 of 39
  • Artificial Intelligence 133
  • Computational Theory and Mathematics 121
  • Control and Systems Engineering 100
  • Management Science and Operations Research 74
  • Numerical Analysis 39
Replace A. A. Yushkevich with:
A. A. Yushkevich United States
Irwin E. Schochetman United States
Tomás Prieto-Rumeau Spain
Demetrios L. Antzoulakos Greece
Wansoo T. Rhee United States
Farzad Yousefian United States
Martin Gavalec Czechia
Fatma Kılınç-Karzan United States
Mark Hartmann United States
A. A. Yushkevich United States View profile →
Citations per field, relative to Seiichi Iwamoto
Seiichi Iwamoto · 1×
Citations per year, relative to Seiichi Iwamoto
Seiichi Iwamoto · 1×

Countries citing papers authored by Seiichi Iwamoto

Since Specialization
Citations

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

Fields of papers citing papers by Seiichi Iwamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seiichi Iwamoto

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 3
3 6
4 1
5 3
6 9
7 15
8 4
9 2
10 3
11 8
12 3
13 6
14 2
15 25
16 20
17 19
18 3
19 8
20 1

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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