Kenneth Yoshimoto
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- Scientific Computing and Data Management 9
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies 8
- Neural dynamics and brain function 4
- Biophysics top 10%
- Cell Image Analysis Techniques 5
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- Distributed and Parallel Computing Systems 8
- Advanced Data Storage Technologies 4
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- Advanced Memory and Neural Computing 5
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- Parallel Computing and Optimization Techniques 4
- Co-authors
- P Eversole-CireHenry FongM I SimonA. MajumdarSubhashini SivagnanamVadim AstakhovAnita BandrowskiMaryann E. Martone
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (1 paper)NeuroImage (1 paper)
- Partner nations
- United StatesSwitzerlandFrance
In The Last Decade
Kenneth Yoshimoto
25 papers receiving 538 citations
Peers
Comparison fields: 5 of 97
- Information Systems and Management 64
- Cognitive Neuroscience 152
- Aging 13
- Cellular and Molecular Neuroscience 126
- Biophysics 28
Countries citing papers authored by Kenneth Yoshimoto
This map shows the geographic impact of Kenneth Yoshimoto'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 Kenneth Yoshimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth Yoshimoto more than expected).
Fields of papers citing papers by Kenneth Yoshimoto
This network shows the impact of papers produced by Kenneth Yoshimoto. 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 Kenneth Yoshimoto. The network helps show where Kenneth Yoshimoto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kenneth Yoshimoto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 8 | |
| 6 | 2020 | 43 | |
| 7 | 2018 | 3 | |
| 8 | 2017 | 13 | |
| 9 | 2014 | 10 | |
| 10 | 2013 | 2 | |
| 11 | 2013 | 35 | |
| 12 | 2012 | 9 | |
| 13 | 2012 | 2 | |
| 14 | 2011 | 11 | |
| 15 | Pen-based Interface for Electronic Medical Record System with Advanced Recognition and Search Engine for the Hand-written Characters | 2005 | 0 |
| 16 | SNUPI: A grid accounting and performance system employing portal services and RDBMS back-end | 2001 | 7 |
| 17 | 1996 | 34 | |
| 18 | 1991 | 2 | |
| 19 | 1990 | 11 | |
| 20 | 1990 | 21 |
About Kenneth Yoshimoto
Kenneth Yoshimoto is a scholar working on Information Systems and Management, Biophysics and Hardware and Architecture, having authored 28 papers that have together received 543 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (9 papers), Distributed and Parallel Computing Systems (8 papers), Functional Brain Connectivity Studies (8 papers), Advanced Memory and Neural Computing (5 papers), Cell Image Analysis Techniques (5 papers), Neural dynamics and brain function (4 papers), Advanced Data Storage Technologies (4 papers) and Parallel Computing and Optimization Techniques (4 papers). The work is most often cited by research in Information Systems and Management (64 citations), Cognitive Neuroscience (152 citations) and Aging (13 citations). Kenneth Yoshimoto has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include P Eversole-Cire, Henry Fong, M I Simon, A. Majumdar, Subhashini Sivagnanam, Vadim Astakhov, Anita Bandrowski, Maryann E. Martone, Nicholas T. Carnevale and Luis P. Villarreal. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and NeuroImage.
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.