I Tomohiro
Impact in
- Hardware and Architecture top 10%
- Network Packet Processing and Optimization
- Artificial Intelligence top 10%
- Algorithms and Data Compression
- Natural Language Processing Techniques
Papers in
-
- Algorithms and Data Compression 36
- Natural Language Processing Techniques 15
- Machine Learning and Algorithms 2
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- semigroups and automata theory 15
- Cellular Automata and Applications 5
- Co-authors
- Shunsuke Inenaga (20 shared papers)Masayuki Takeda (15 shared papers)Hideo Bannai (21 shared papers)Yuto Nakashima (6 shared papers)Hiroshi Sakamoto (6 shared papers)Tsuyoshi Okita (1 shared paper)Johannes Fischer (1 shared paper)Kunihiko Sadakane (1 shared paper)
In The Last Decade
I Tomohiro
33 papers receiving 154 citations
Peers
Comparison fields: 5 of 23
- Hardware and Architecture 39
- Artificial Intelligence 143
- Computational Theory and Mathematics 52
- Molecular Biology 70
- Computer Vision and Pattern Recognition 21
Countries citing papers authored by I Tomohiro
This map shows the geographic impact of I Tomohiro'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 I Tomohiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I Tomohiro more than expected).
Fields of papers citing papers by I Tomohiro
This network shows the impact of papers produced by I Tomohiro. 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 I Tomohiro. The network helps show where I Tomohiro may publish in the future.
Co-authors
The 25 scholars most cited alongside I Tomohiro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 26 | |
| 2 | 2012 | 14 | |
| 3 | 2022 | 9 | |
| 4 | 2017 | 9 | |
| 5 | 2011 | 8 | |
| 6 | 2018 | 8 | |
| 7 | 2013 | 7 | |
| 8 | 2021 | 6 | |
| 9 | 2017 | 6 | |
| 10 | 2013 | 6 | |
| 11 | 2015 | 6 | |
| 12 | 2017 | 5 | |
| 13 | 2016 | 5 | |
| 14 | 2014 | 4 | |
| 15 | 2016 | 4 | |
| 16 | 2016 | 3 | |
| 17 | 2012 | 3 | |
| 18 | 2018 | 3 | |
| 19 | 2019 | 3 | |
| 20 | 2017 | 3 |
About I Tomohiro
I Tomohiro is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Hardware and Architecture, Molecular Biology and Computer Networks and Communications, having authored 38 papers that have together received 157 indexed citations. Recurring topics across this work include Algorithms and Data Compression (36 papers), Natural Language Processing Techniques (15 papers), semigroups and automata theory (15 papers), Network Packet Processing and Optimization (10 papers), DNA and Biological Computing (9 papers), Cellular Automata and Applications (5 papers), Advanced Data Storage Technologies (2 papers) and Machine Learning and Algorithms (2 papers). The work is most often cited by research in Hardware and Architecture (39 citations), Artificial Intelligence (143 citations), Computational Theory and Mathematics (52 citations), Molecular Biology (70 citations) and Computer Vision and Pattern Recognition (21 citations). I Tomohiro has collaborated with scholars based in Japan, Germany and Finland. Frequent co-authors include Shunsuke Inenaga, Masayuki Takeda, Hideo Bannai, Yuto Nakashima, Hiroshi Sakamoto, Tsuyoshi Okita, Johannes Fischer, Kunihiko Sadakane, Gonzalo Navarro and Moshe Lewenstein. Their work appears in journals such as Theoretical Computer Science, Algorithmica, Discrete Applied Mathematics, Information and Computation and Theory of Computing Systems.
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.