Sanjeev D. Nandedkar
- Biomedical Engineering top 1%
- Neurology top 1%
- Cellular and Molecular Neuroscience top 2%
- Cognitive Neuroscience top 2%
- Genetics top 1%
- Co-authors
- Erik StålbergPaul E. BarkhausDonald B. SandersErik St�lbergChristoph NeuwirthMarkus WeberMamede de CarvalhoBjörn Falck
- Topics
- Muscle activation and electromyography studies (75 papers)Neuroscience and Neural Engineering (40 papers)EEG and Brain-Computer Interfaces (22 papers)
- Partner nations
- United StatesSwedenPortugal
In The Last Decade
Sanjeev D. Nandedkar
103 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 104
- Biomedical Engineering 1.9k
- Neurology 1.1k
- Cellular and Molecular Neuroscience 896
- Cognitive Neuroscience 784
- Genetics 650
Countries citing papers authored by Sanjeev D. Nandedkar
This map shows the geographic impact of Sanjeev D. Nandedkar'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 Sanjeev D. Nandedkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjeev D. Nandedkar more than expected).
Fields of papers citing papers by Sanjeev D. Nandedkar
This network shows the impact of papers produced by Sanjeev D. Nandedkar. 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 Sanjeev D. Nandedkar. The network helps show where Sanjeev D. Nandedkar may publish in the future.
Co-authorship network of co-authors of Sanjeev D. Nandedkar
This figure shows the co-authorship network connecting the top 25 collaborators of Sanjeev D. Nandedkar. A scholar is included among the top collaborators of Sanjeev D. Nandedkar 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 Sanjeev D. Nandedkar. Sanjeev D. Nandedkar 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 | 5 | |
| 3 | 3 | |
| 4 | 8 | |
| 5 | 72 | |
| 6 | 22 | |
| 7 | 5 | |
| 8 | 6 | |
| 9 | 26 | |
| 10 | 22 | |
| 11 | 11 | |
| 12 | 33 | |
| 13 | 13 | |
| 14 | 21 | |
| 15 | 54 | |
| 16 | 158 | |
| 17 | 31 | |
| 18 | 12 | |
| 19 | 2 | |
| 20 | 39 |
About Sanjeev D. Nandedkar
Sanjeev D. Nandedkar is a scholar working on Cellular and Molecular Neuroscience, Neurology and Cognitive Neuroscience, having authored 109 papers that have together received 3.5k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (75 papers), Neuroscience and Neural Engineering (40 papers) and EEG and Brain-Computer Interfaces (22 papers). The work is most often cited by research in Neurology (1.1k citations), Genetics (650 citations) and Cellular and Molecular Neuroscience (896 citations). Sanjeev D. Nandedkar has collaborated with scholars based in United States, Sweden and Portugal. Frequent co-authors include Erik Stålberg, Paul E. Barkhaus, Donald B. Sanders, Erik St�lberg, Donald B. Sanders, Christoph Neuwirth, Markus Weber, Mamede de Carvalho, Björn Falck and Steen Andreassen. Their work appears in journals such as PLoS ONE, American Journal of Respiratory and Critical Care Medicine and Trends in Neurosciences.
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.