Tanmay Nath
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Autism Spectrum Disorder Research
- Memory and Neural Mechanisms
- Developmental Biology top 10%
Papers in
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- Autism Spectrum Disorder Research 2
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- Thyroid Disorders and Treatments 3
- Thyroid Cancer Diagnosis and Treatment 2
- Co-authors
- Alexander Mathis (2 shared papers)Mackenzie Weygandt Mathis (2 shared papers)Matthias Bethge (1 shared paper)Amir Patel (1 shared paper)Adriana Di Martino (2 shared papers)Michael P. Milham (2 shared papers)Guoping Feng (1 shared paper)Venkatesh N. Murthy (1 shared paper)
- Journals
- PLoS ONE (2 papers)Journal of Clinical Hypertension (2 papers)NeuroImage (2 papers)Scientific Reports (2 papers)Nature Methods (1 paper)
- Partner nations
- United StatesIndiaBelgium
In The Last Decade
Tanmay Nath
18 papers receiving 1.4k citations
Tanmay Nath's Hit Papers
Peers
Comparison fields: 5 of 142
- Cognitive Neuroscience 402
- Developmental Biology 34
- Behavioral Neuroscience 49
- Health Informatics 17
- Cellular and Molecular Neuroscience 227
Countries citing papers authored by Tanmay Nath
This map shows the geographic impact of Tanmay Nath'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 Tanmay Nath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tanmay Nath more than expected).
Fields of papers citing papers by Tanmay Nath
This network shows the impact of papers produced by Tanmay Nath. 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 Tanmay Nath. The network helps show where Tanmay Nath may publish in the future.
Co-authors
The 25 scholars most cited alongside Tanmay Nath, 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 | Using DeepLabCut for 3D markerless pose estimation across species and behaviors Hit paper breakdown → | 2019 | 818 |
| 2 | Multi-animal pose estimation, identification and tracking with DeepLabCut Hit paper breakdown → | 2022 | 292 |
| 3 | 2017 | 106 | |
| 4 | 2022 | 71 | |
| 5 | 2018 | 41 | |
| 6 | 2015 | 26 | |
| 7 | 2023 | 22 | |
| 8 | 2018 | 21 | |
| 9 | 2021 | 12 | |
| 10 | 2022 | 11 | |
| 11 | 2020 | 10 | |
| 12 | 2020 | 6 | |
| 13 | 2021 | 5 | |
| 14 | 2024 | 3 | |
| 15 | 2021 | 3 | |
| 16 | 2022 | 3 | |
| 17 | 2024 | 1 | |
| 18 | 2014 | 1 |
About Tanmay Nath
Tanmay Nath is a scholar working on Cognitive Neuroscience, Endocrinology, Diabetes and Metabolism, Genetics, Surgery and Cellular and Molecular Neuroscience, having authored 18 papers that have together received 1.5k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (3 papers), Human-Animal Interaction Studies (2 papers), Human Pose and Action Recognition (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers), Autism Spectrum Disorder Research (2 papers), Plant and animal studies (2 papers), Heart Rate Variability and Autonomic Control (2 papers) and Body Composition Measurement Techniques (1 paper). The work is most often cited by research in Cognitive Neuroscience (402 citations), Developmental Biology (34 citations), Behavioral Neuroscience (49 citations), Health Informatics (17 citations) and Cellular and Molecular Neuroscience (227 citations). Tanmay Nath has collaborated with scholars based in United States, India and Belgium. Frequent co-authors include Alexander Mathis, Mackenzie Weygandt Mathis, Matthias Bethge, Amir Patel, Adriana Di Martino, Michael P. Milham, Guoping Feng, Venkatesh N. Murthy, Steffen Schneider and Shaokai Ye. Their work appears in journals such as PLoS ONE, Journal of Clinical Hypertension, NeuroImage, Scientific Reports and Nature Methods.
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.