Sasidhar Madugula
- Cellular and Molecular Neuroscience top 10%
- Cognitive Neuroscience top 10%
- Electrical and Electronic Engineering
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- E. J. ChichilniskyA. M. LitkePaweł HottowyLauren E. GrosbergAlexander SherW. DąbrowskiGonzalo E. MenaSubhasish Mitra
- Topics
- Neuroscience and Neural Engineering (15 papers)Photoreceptor and optogenetics research (9 papers)Advanced Memory and Neural Computing (8 papers)
- Cited by
- Cellular and Molecular NeuroscienceCognitive NeuroscienceElectrical and Electronic Engineering
- Partner nations
- United StatesPolandUnited Kingdom
In The Last Decade
Sasidhar Madugula
16 papers receiving 228 citations
Peers
Comparison fields: 5 of 35
- Cellular and Molecular Neuroscience 187
- Cognitive Neuroscience 135
- Electrical and Electronic Engineering 126
- Molecular Biology 13
- Radiology, Nuclear Medicine and Imaging 9
Countries citing papers authored by Sasidhar Madugula
This map shows the geographic impact of Sasidhar Madugula'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 Sasidhar Madugula with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sasidhar Madugula more than expected).
Fields of papers citing papers by Sasidhar Madugula
This network shows the impact of papers produced by Sasidhar Madugula. 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 Sasidhar Madugula. The network helps show where Sasidhar Madugula may publish in the future.
Co-authorship network of co-authors of Sasidhar Madugula
This figure shows the co-authorship network connecting the top 25 collaborators of Sasidhar Madugula. A scholar is included among the top collaborators of Sasidhar Madugula 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 Sasidhar Madugula. Sasidhar Madugula is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 5 | |
| 5 | 10 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 14 | |
| 10 | 10 | |
| 11 | Efficient characterization of electrically evoked responses for neural interfaces | 2 |
| 12 | 20 | |
| 13 | 19 | |
| 14 | 34 | |
| 15 | 41 | |
| 16 | 52 | |
| 17 | 8 |
About Sasidhar Madugula
Sasidhar Madugula is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Biophysics, having authored 17 papers that have together received 229 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (15 papers), Photoreceptor and optogenetics research (9 papers) and Advanced Memory and Neural Computing (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (187 citations), Cognitive Neuroscience (135 citations) and Electrical and Electronic Engineering (126 citations). Sasidhar Madugula has collaborated with scholars based in United States, Poland and United Kingdom. Frequent co-authors include E. J. Chichilnisky, A. M. Litke, Paweł Hottowy, Lauren E. Grosberg, Alexander Sher, W. Dąbrowski, Gonzalo E. Mena, Subhasish Mitra, Eugene Duff and Tamar R. Makin. Their work appears in journals such as Journal of Neuroscience, PLoS ONE and Journal of Neurophysiology.
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.