Samar Mehta
Impact in
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Memory and Neural Mechanisms
- Functional Brain Connectivity Studies
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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 6
- EEG and Brain-Computer Interfaces 1
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- Neurobiology and Insect Physiology Research 1
- Neuroscience and Neural Engineering 1
- Co-authors
- David Kleinfeld (5 shared papers)Peter Andrews (1 shared paper)Hemant Bokil (1 shared paper)Jayant Kulkarni (1 shared paper)Partha P. Mitra (1 shared paper)Daniel Hill (1 shared paper)Varda Lev‐Ram (1 shared paper)Roger Y. Tsien (1 shared paper)
- Journals
- Journal of Neuroscience (2 papers)Proceedings of the National Academy of Sciences (2 papers)PLoS Biology (1 paper)Emerging Microbes & Infections (1 paper)Neuron (1 paper)
- Partner nations
- United StatesGermanyIsrael
In The Last Decade
Samar Mehta
10 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Cognitive Neuroscience 953
- Cellular and Molecular Neuroscience 767
- Sensory Systems 109
- Neurology 137
- Developmental Biology 23
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 | 613 |
| 2 | 2011 | 292 | |
| 3 | 2006 | 157 | |
| 4 | 2007 | 122 | |
| 5 | 2003 | 119 | |
| 6 | 2004 | 47 | |
| 7 | 2002 | 45 | |
| 8 | 2020 | 19 | |
| 9 | 2006 | 9 | |
| 10 | 2020 | 4 |
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 10 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neural dynamics and brain function (6 papers), Animal Vocal Communication and Behavior (1 paper), Neurobiology and Insect Physiology Research (1 paper), Neuroscience of respiration and sleep (1 paper), Neuroscience and Neural Engineering (1 paper), Viral Infections and Vectors (1 paper), EEG and Brain-Computer Interfaces (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Cognitive Neuroscience (953 citations), Cellular and Molecular Neuroscience (767 citations), Sensory Systems (109 citations), Neurology (137 citations) and Developmental Biology (23 citations). Samar Mehta has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include David Kleinfeld, Peter Andrews, Hemant Bokil, Jayant Kulkarni, Partha P. Mitra, Daniel Hill, Varda Lev‐Ram, Roger Y. Tsien, Jared Young and Maria Israelsson. Their work appears in journals such as Journal of Neuroscience, Proceedings of the National Academy of Sciences, PLoS Biology, Emerging Microbes & Infections and Neuron.
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.