Taiga Abe
Impact in
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function
- Memory and Neural Mechanisms
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- Neuroscience and Neuropharmacology Research
- Neurobiology and Insect Physiology Research
Papers in
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- Functional Brain Connectivity Studies 2
- Neural dynamics and brain function 2
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- Cell Image Analysis Techniques 2
- Co-authors
- Pranav Mamidanna (1 shared paper)Venkatesh N. Murthy (1 shared paper)Alexander Mathis (1 shared paper)Kevin M. Cury (1 shared paper)Mackenzie Weygandt Mathis (1 shared paper)Matthias Bethge (1 shared paper)Shreya Saxena (3 shared papers)Liam Paninski (3 shared papers)
- Journals
- Nature Neuroscience (1 paper)Neuron (1 paper)SSRN Electronic Journal (1 paper)Neural Information Processing Systems (1 paper)
- Partner nations
- United StatesJapanGermany
In The Last Decade
Taiga Abe
5 papers receiving 2.7k citations
Taiga Abe's Hit Papers
Peers
Comparison fields: 5 of 140
- Cognitive Neuroscience 962
- Cellular and Molecular Neuroscience 764
- Cell Biology 474
- Behavioral Neuroscience 91
- Developmental Biology 58
Countries citing papers authored by Taiga Abe
This map shows the geographic impact of Taiga Abe'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 Taiga Abe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taiga Abe more than expected).
Fields of papers citing papers by Taiga Abe
This network shows the impact of papers produced by Taiga Abe. 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 Taiga Abe. The network helps show where Taiga Abe may publish in the future.
Co-authors
The 24 scholars most cited alongside Taiga Abe, 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 | DeepLabCut: markerless pose estimation of user-defined body parts with deep learning Hit paper breakdown → | 2018 | 2707 |
| 2 | BehaveNet: nonlinear embedding and Bayesian neural decoding of behavioral videos | 2019 | 31 |
| 3 | 2022 | 12 | |
| 4 | 2020 | 2 | |
| 5 | 2021 | 1 | |
| 6 | 2022 | 0 |
About Taiga Abe
Taiga Abe is a scholar working on Cognitive Neuroscience, Biophysics, Social Psychology, Aquatic Science and Sociology and Political Science, having authored 6 papers that have together received 2.8k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (2 papers), Neural dynamics and brain function (2 papers), Cell Image Analysis Techniques (2 papers), Zebrafish Biomedical Research Applications (1 paper), Innovations in Aquaponics and Hydroponics Systems (1 paper), Human-Animal Interaction Studies (1 paper), Primate Behavior and Ecology (1 paper) and Complex Network Analysis Techniques (1 paper). The work is most often cited by research in Cognitive Neuroscience (962 citations), Cellular and Molecular Neuroscience (764 citations), Cell Biology (474 citations), Behavioral Neuroscience (91 citations) and Developmental Biology (58 citations). Taiga Abe has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Pranav Mamidanna, Venkatesh N. Murthy, Alexander Mathis, Kevin M. Cury, Mackenzie Weygandt Mathis, Matthias Bethge, Shreya Saxena, Liam Paninski, John P. Cunningham and Scott W. Linderman. Their work appears in journals such as Nature Neuroscience, Neuron, SSRN Electronic Journal and Neural Information Processing 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.