Ian Bowman
Impact in
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Memory and Neural Mechanisms
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- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
Papers in
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- Functional Brain Connectivity Studies 6
- Neural dynamics and brain function 2
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- Neuroscience and Neuropharmacology Research 3
- Co-authors
- Houri Hintiryan (5 shared papers)Michael S. Bienkowski (5 shared papers)Hong‐Wei Dong (5 shared papers)Nicholas N. Foster (5 shared papers)Monica Y. Song (3 shared papers)Lin Gou (3 shared papers)Seita Yamashita (3 shared papers)Brian Zingg (3 shared papers)
- Journals
- Nature Neuroscience (2 papers)The Journal of Comparative Neurology (1 paper)Frontiers in Neuroinformatics (1 paper)Nature Communications (1 paper)Cell (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Ian Bowman
10 papers receiving 1.0k citations
Ian Bowman's Hit Papers
Peers
Comparison fields: 5 of 85
- Cognitive Neuroscience 703
- Cellular and Molecular Neuroscience 557
- Biophysics 120
- Neurology 82
- Sensory Systems 48
Countries citing papers authored by Ian Bowman
This map shows the geographic impact of Ian Bowman'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 Ian Bowman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian Bowman more than expected).
Fields of papers citing papers by Ian Bowman
This network shows the impact of papers produced by Ian Bowman. 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 Ian Bowman. The network helps show where Ian Bowman may publish in the future.
Co-authors
The 25 scholars most cited alongside Ian Bowman, 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 | Neural Networks of the Mouse Neocortex Hit paper breakdown → | 2014 | 518 |
| 2 | 2016 | 328 | |
| 3 | 2018 | 132 | |
| 4 | 2019 | 33 | |
| 5 | 2020 | 17 | |
| 6 | 2012 | 11 | |
| 7 | 2011 | 8 | |
| 8 | 2011 | 5 | |
| 9 | 2013 | 1 | |
| 10 | 2012 | 1 |
About Ian Bowman
Ian Bowman is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Computer Vision and Pattern Recognition, Biophysics and Molecular Biology, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (6 papers), Cell Image Analysis Techniques (3 papers), Data Visualization and Analytics (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Neural dynamics and brain function (2 papers), Time Series Analysis and Forecasting (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper) and Image Processing Techniques and Applications (1 paper). The work is most often cited by research in Cognitive Neuroscience (703 citations), Cellular and Molecular Neuroscience (557 citations), Biophysics (120 citations), Neurology (82 citations) and Sensory Systems (48 citations). Ian Bowman has collaborated with scholars based in United States and China. Frequent co-authors include Houri Hintiryan, Michael S. Bienkowski, Hong‐Wei Dong, Nicholas N. Foster, Monica Y. Song, Lin Gou, Seita Yamashita, Brian Zingg, Arthur W. Toga and Maxwell Bay. Their work appears in journals such as Nature Neuroscience, The Journal of Comparative Neurology, Frontiers in Neuroinformatics, Nature Communications and Cell.
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.