Ari S. Benjamin
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Visual perception and processing mechanisms
- Functional Brain Connectivity Studies
Papers in
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- Neural Networks and Applications 3
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- Neural dynamics and brain function 2
- EEG and Brain-Computer Interfaces 1
- Co-authors
- Konrad P. Körding (5 shared papers)Joshua I. Glaser (1 shared paper)Alan A. Stocker (2 shared papers)Cheng Qiu (2 shared papers)Pavan Ramkumar (1 shared paper)Stephen A. Gramsch (1 shared paper)E. Bruce Orler (1 shared paper)Lee E. Miller (1 shared paper)
- Journals
- Lab on a Chip (1 paper)Progress in Neurobiology (1 paper)The Journal of Chemical Physics (1 paper)Nature Communications (1 paper)Frontiers in Computational Neuroscience (1 paper)
- Partner nations
- United StatesCanadaRussia
In The Last Decade
Ari S. Benjamin
6 papers receiving 214 citations
Peers
Comparison fields: 5 of 89
- Cognitive Neuroscience 106
- Health Informatics 5
- Cellular and Molecular Neuroscience 30
- Biophysics 8
- Artificial Intelligence 40
Countries citing papers authored by Ari S. Benjamin
This map shows the geographic impact of Ari S. Benjamin'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 Ari S. Benjamin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ari S. Benjamin more than expected).
Fields of papers citing papers by Ari S. Benjamin
This network shows the impact of papers produced by Ari S. Benjamin. 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 Ari S. Benjamin. The network helps show where Ari S. Benjamin may publish in the future.
Co-authors
The 17 scholars most cited alongside Ari S. Benjamin, 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 | 2019 | 85 | |
| 2 | 2018 | 42 | |
| 3 | 2012 | 37 | |
| 4 | 2020 | 23 | |
| 5 | 2022 | 17 | |
| 6 | 2019 | 14 |
About Ari S. Benjamin
Ari S. Benjamin is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Molecular Biology, Information Systems and Management and Mechanics of Materials, having authored 6 papers that have together received 218 indexed citations. Recurring topics across this work include Neural Networks and Applications (3 papers), Neural dynamics and brain function (2 papers), Clinical Laboratory Practices and Quality Control (1 paper), Cell Image Analysis Techniques (1 paper), Acoustic Wave Phenomena Research (1 paper), Scientific Computing and Data Management (1 paper), Image Processing Techniques and Applications (1 paper) and EEG and Brain-Computer Interfaces (1 paper). The work is most often cited by research in Cognitive Neuroscience (106 citations), Health Informatics (5 citations), Cellular and Molecular Neuroscience (30 citations), Biophysics (8 citations) and Artificial Intelligence (40 citations). Ari S. Benjamin has collaborated with scholars based in United States, Canada and Russia. Frequent co-authors include Konrad P. Körding, Joshua I. Glaser, Alan A. Stocker, Cheng Qiu, Pavan Ramkumar, Stephen A. Gramsch, E. Bruce Orler, Lee E. Miller, Tucker Tomlinson and Muhtar Ahart. Their work appears in journals such as Lab on a Chip, Progress in Neurobiology, The Journal of Chemical Physics, Nature Communications and Frontiers in Computational Neuroscience.
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.