Ravikiran Mane

20 total papers · 1.0k total citations
12 papers, 580 citations indexed

About

Ravikiran Mane is a scholar working on Cognitive Neuroscience, Epidemiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ravikiran Mane has authored 12 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 5 papers in Epidemiology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ravikiran Mane's work include EEG and Brain-Computer Interfaces (7 papers), Acute Ischemic Stroke Management (5 papers) and Neuroscience and Neural Engineering (4 papers). Ravikiran Mane is often cited by papers focused on EEG and Brain-Computer Interfaces (7 papers), Acute Ischemic Stroke Management (5 papers) and Neuroscience and Neural Engineering (4 papers). Ravikiran Mane collaborates with scholars based in Singapore, China and India. Ravikiran Mane's co-authors include Cuntai Guan, Tushar Chouhan, Neethu Robinson, A. P. Vinod, Seong‐Whan Lee, Zhenhua Wu, David Wang, Kok Soon Phua, Effie Chew and Kai Keng Ang and has published in prestigious journals such as IEEE Transactions on Neural Systems and Rehabilitation Engineering, European Journal of Neurology and Journal of Neural Engineering.

In The Last Decade

Ravikiran Mane

12 papers receiving 567 citations

Hit Papers

BCI for stroke rehabilita... 2020 2026 2022 2024 2020 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ravikiran Mane 456 199 113 99 90 12 580
Gangadhar Garipelli 422 0.9× 195 1.0× 159 1.4× 30 0.3× 77 0.9× 16 594
О. А. Мокиенко 474 1.0× 202 1.0× 212 1.9× 44 0.4× 50 0.6× 39 609
Patricia Linortner 340 0.7× 232 1.2× 75 0.7× 62 0.6× 76 0.8× 12 563
Mathias Jordan 586 1.3× 351 1.8× 153 1.4× 73 0.7× 147 1.6× 10 692
Shugeng Chen 371 0.8× 181 0.9× 180 1.6× 53 0.5× 83 0.9× 35 568
Omar Feix do Nascimento 443 1.0× 271 1.4× 191 1.7× 49 0.5× 61 0.7× 21 554
Renan C. Moioli 326 0.7× 171 0.9× 225 2.0× 73 0.7× 49 0.5× 34 637
Dragana Viceic 418 0.9× 195 1.0× 158 1.4× 34 0.3× 45 0.5× 13 638
G. Korisek 494 1.1× 299 1.5× 135 1.2× 80 0.8× 105 1.2× 16 525
Lei Cao 339 0.7× 170 0.9× 67 0.6× 69 0.7× 115 1.3× 30 501

Countries citing papers authored by Ravikiran Mane

Since Specialization
Citations

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

Fields of papers citing papers by Ravikiran Mane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ravikiran Mane. 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 Ravikiran Mane. The network helps show where Ravikiran Mane may publish in the future.

Co-authorship network of co-authors of Ravikiran Mane

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

All Works

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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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