Samar Mehta
Impact in
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Memory and Neural Mechanisms
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- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
Papers in
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- Neural dynamics and brain function 7
- EEG and Brain-Computer Interfaces 2
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- Neuroscience and Neural Engineering 1
- Neurobiology and Insect Physiology Research 1
- Co-authors
- David Kleinfeld (6 shared papers)Peter Andrews (2 shared papers)Partha P. Mitra (2 shared papers)Hemant Bokil (2 shared papers)Jayant Kulkarni (1 shared paper)Daniel Hill (1 shared paper)Roger Y. Tsien (1 shared paper)Varda Lev‐Ram (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Neuroscience (2 papers)Neuron (1 paper)PLoS Biology (1 paper)Emerging Microbes & Infections (1 paper)
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Samar Mehta
11 papers receiving 1.5k citations
Samar Mehta's Hit Papers
Peers
Comparison fields: 5 of 101
- Cognitive Neuroscience 927
- Cellular and Molecular Neuroscience 737
- Sensory Systems 115
- Neurology 139
- Developmental Biology 22
Countries citing papers authored by Samar Mehta
This map shows the geographic impact of Samar Mehta'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 Samar Mehta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samar Mehta more than expected).
Fields of papers citing papers by Samar Mehta
This network shows the impact of papers produced by Samar Mehta. 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 Samar Mehta. The network helps show where Samar Mehta may publish in the future.
Co-authors
The 25 scholars most cited alongside Samar Mehta, 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 | Chronux: A platform for analyzing neural signals Hit paper breakdown → | 2010 | 636 |
| 2 | 2011 | 306 | |
| 3 | 2006 | 172 | |
| 4 | 2007 | 135 | |
| 5 | 2003 | 128 | |
| 6 | 2004 | 51 | |
| 7 | 2002 | 45 | |
| 8 | 2020 | 21 | |
| 9 | 2006 | 9 | |
| 10 | 2020 | 5 | |
| 11 | 2008 | 2 |
About Samar Mehta
Samar Mehta is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Infectious Diseases, Plant Science and Molecular Biology, having authored 11 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neural dynamics and brain function (7 papers), EEG and Brain-Computer Interfaces (2 papers), Neuroscience and Neural Engineering (1 paper), Plant responses to elevated CO2 (1 paper), Mosquito-borne diseases and control (1 paper), Neurobiology and Insect Physiology Research (1 paper), Vector-Borne Animal Diseases (1 paper) and Viral Infections and Outbreaks Research (1 paper). The work is most often cited by research in Cognitive Neuroscience (927 citations), Cellular and Molecular Neuroscience (737 citations), Sensory Systems (115 citations), Neurology (139 citations) and Developmental Biology (22 citations). Samar Mehta has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include David Kleinfeld, Peter Andrews, Partha P. Mitra, Hemant Bokil, Jayant Kulkarni, Daniel Hill, Roger Y. Tsien, Varda Lev‐Ram, Julian I. Schroeder and Maria Israelsson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience, Neuron, PLoS Biology and Emerging Microbes & Infections.
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.