Dinesh Bhatia

108 total papers · 970 total citations
60 papers, 583 citations indexed

About

Dinesh Bhatia is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dinesh Bhatia has authored 60 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Biomedical Engineering, 16 papers in Cognitive Neuroscience and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dinesh Bhatia's work include Muscle activation and electromyography studies (17 papers), EEG and Brain-Computer Interfaces (13 papers) and Neuroscience and Neural Engineering (6 papers). Dinesh Bhatia is often cited by papers focused on Muscle activation and electromyography studies (17 papers), EEG and Brain-Computer Interfaces (13 papers) and Neuroscience and Neural Engineering (6 papers). Dinesh Bhatia collaborates with scholars based in India, United States and United Kingdom. Dinesh Bhatia's co-authors include Sohini Paul, Krishna Mohan Agarwal, Sudip Paul, William Walker, Nitin Sahai, Animesh Mishra, Abhishek Singhal, Suresh Chand Verma, Ravi Prakash Tewari and Swati Mohapatra and has published in prestigious journals such as Neuroradiology, Materials Science for Energy Technologies and IET Image Processing.

In The Last Decade

Dinesh Bhatia

52 papers receiving 546 citations

Hit Papers

Biosensors and their wide... 2023 2026 2024 2023 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Dinesh Bhatia 265 96 85 75 71 60 583
Michela Borghetti 346 1.3× 60 0.6× 20 0.2× 242 3.2× 76 1.1× 47 509
Guoxin Li 239 0.9× 11 0.1× 33 0.4× 35 0.5× 65 0.9× 68 643
Jae‐Hun Kim 338 1.3× 41 0.4× 50 0.6× 135 1.8× 165 2.3× 36 675
Xiaopeng Sha 195 0.7× 8 0.1× 45 0.5× 138 1.8× 26 0.4× 51 655
Zhixian Chen 72 0.3× 20 0.2× 63 0.7× 43 0.6× 32 0.5× 41 505
Mitar Simić 269 1.0× 54 0.6× 18 0.2× 256 3.4× 18 0.3× 71 592
Qing Xu 77 0.3× 95 1.0× 28 0.3× 125 1.7× 19 0.3× 70 527
Anand Kumar Mishra 359 1.4× 50 0.5× 14 0.2× 46 0.6× 29 0.4× 41 636
Dan Chen 67 0.3× 81 0.8× 47 0.6× 151 2.0× 22 0.3× 41 537
Jiahui Cheng 370 1.4× 7 0.1× 29 0.3× 53 0.7× 89 1.3× 41 583

Countries citing papers authored by Dinesh Bhatia

Since Specialization
Citations

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

Fields of papers citing papers by Dinesh Bhatia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dinesh Bhatia

This figure shows the co-authorship network connecting the top 25 collaborators of Dinesh Bhatia. A scholar is included among the top collaborators of Dinesh Bhatia 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 Dinesh Bhatia. Dinesh Bhatia 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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