Vikram R. Rao

8.5k citations
95 papers · 5.0k indexed · 4 hit papers · h-index 33
Topics
EEG and Brain-Computer Interfaces (39 papers)Epilepsy research and treatment (30 papers)Neurological disorders and treatments (26 papers)

In The Last Decade

Vikram R. Rao

92 papers receiving 4.9k citations

Hit Papers

β-amyloid disrupts human NREM slow waves and related hipp...20152026201820222015201820212021100200300

Peers

Vikram R. Rao
Comparison fields: 5 of 138
  • Cognitive Neuroscience 2.8k
  • Cellular and Molecular Neuroscience 1.9k
  • Psychiatry and Mental health 1.1k
  • Molecular Biology 947
  • Neurology 938
Replace Marc Tittgemeyer with:
Marc Tittgemeyer Germany
Nicolas Costes France
M.‐Marsel Mesulam United States
Georges Franck Belgium
Sheng Zhang United States
V. Ibáñez Pradas Switzerland
Mario Rosanova Italy
G. Leonard Watkins United States
Nigel P. Pedersen United States
Bradley Voytek United States
Vikram R. Rao relative to Marc Tittgemeyer Germany Marc Tittgemeyer's profile →
Citations per field
00.5×2.6×
Marc Tittgemeyer · 1×
Citations per year

Countries citing papers authored by Vikram R. Rao

Since Specialization
Citations

This map shows the geographic impact of Vikram R. Rao'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 Vikram R. Rao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vikram R. Rao more than expected).

Fields of papers citing papers by Vikram R. Rao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vikram R. Rao. 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 Vikram R. Rao. The network helps show where Vikram R. Rao may publish in the future.

Co-authorship network of co-authors of Vikram R. Rao

This figure shows the co-authorship network connecting the top 25 collaborators of Vikram R. Rao. A scholar is included among the top collaborators of Vikram R. Rao 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 Vikram R. Rao. Vikram R. Rao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 0
3 3
4 6
5 4
6 4
7 30
8 12
9
Cycles in epilepsybreakdown →
172
10 78
11
Closed-loop neuromodulation in an individual with treatment-resistant depressionbreakdown →
272
12 84
13 27
14 57
15 100
16 57
17 40
18 396
19 54
20 57

About Vikram R. Rao

Vikram R. Rao is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Cellular and Molecular Neuroscience, having authored 95 papers that have together received 5.0k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (39 papers), Epilepsy research and treatment (30 papers) and Neurological disorders and treatments (26 papers). The work is most often cited by research in Cognitive Neuroscience (2.8k citations), Cellular and Molecular Neuroscience (1.9k citations) and Psychiatry and Mental health (1.1k citations). Vikram R. Rao has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Daniel D. Oprian, Maxime O. Baud, Edward F. Chang, Jared Saletin, Matthew P. Walker, Steven Finkbeiner, Sonia Ancoli‐Israel, Brandon Lu, William J. Jagust and Bryce A. Mander. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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.

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