Rahul Sarpeshkar
- Electrical and Electronic Engineering top 0.5%
- Biomedical Engineering top 0.5%
- Cellular and Molecular Neuroscience top 1%
- Cognitive Neuroscience top 1%
- Molecular Biology top 10%
- Co-authors
- Soumyajit MandalHoward E. KatzZhenan BaoWoradorn WattanapanitchB. K. CroneH. Sebastian SeungRichard H. R. HahnloserMisha Mahowald
- Topics
- Analog and Mixed-Signal Circuit Design (50 papers)Advanced Memory and Neural Computing (32 papers)Neuroscience and Neural Engineering (26 papers)
- Cited by
- Cellular and Molecular NeuroscienceElectrical and Electronic EngineeringCognitive Neuroscience
- Journals
- NatureNeuronApplied Physics Letters
- Partner nations
- United StatesSingaporeSouth Korea
In The Last Decade
Rahul Sarpeshkar
131 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Electrical and Electronic Engineering 4.9k
- Biomedical Engineering 2.9k
- Cellular and Molecular Neuroscience 1.6k
- Cognitive Neuroscience 1.3k
- Molecular Biology 769
Countries citing papers authored by Rahul Sarpeshkar
This map shows the geographic impact of Rahul Sarpeshkar'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 Rahul Sarpeshkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rahul Sarpeshkar more than expected).
Fields of papers citing papers by Rahul Sarpeshkar
This network shows the impact of papers produced by Rahul Sarpeshkar. 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 Rahul Sarpeshkar. The network helps show where Rahul Sarpeshkar may publish in the future.
Co-authorship network of co-authors of Rahul Sarpeshkar
This figure shows the co-authorship network connecting the top 25 collaborators of Rahul Sarpeshkar. A scholar is included among the top collaborators of Rahul Sarpeshkar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rahul Sarpeshkar. Rahul Sarpeshkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 5 | |
| 8 | 15 | |
| 9 | 3 | |
| 10 | 9 | |
| 11 | 316 | |
| 12 | 183 | |
| 13 | 15 | |
| 14 | 89 | |
| 15 | Neuromorphic and biomorphic engineering systems | 8 |
| 16 | 44 | |
| 17 | 124 | |
| 18 | Predictive comparators with adaptive control. | 1 |
| 19 | Digital selection and analogue amplification coexist in a cortex-inspired silicon circuitbreakdown → | 822 |
| 20 | Visual Motion Computation in Analog VLSI Using Pulses | 20 |
About Rahul Sarpeshkar
Rahul Sarpeshkar is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Cellular and Molecular Neuroscience, having authored 136 papers that have together received 7.7k indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (50 papers), Advanced Memory and Neural Computing (32 papers) and Neuroscience and Neural Engineering (26 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.6k citations), Electrical and Electronic Engineering (4.9k citations) and Cognitive Neuroscience (1.3k citations). Rahul Sarpeshkar has collaborated with scholars based in United States, Singapore and South Korea. Frequent co-authors include Soumyajit Mandal, Howard E. Katz, Zhenan Bao, Woradorn Wattanapanitch, B. K. Crone, H. Sebastian Seung, Richard H. R. Hahnloser, Misha Mahowald, Rodney J. Douglas and Y.-Y. Lin. Their work appears in journals such as Nature, Neuron and Applied Physics Letters.
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.