Tanu Wadhera

33 total papers · 662 total citations
16 papers, 317 citations indexed

About

Tanu Wadhera is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Tanu Wadhera has authored 16 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 2 papers in Biomedical Engineering and 1 paper in Molecular Biology. Recurrent topics in Tanu Wadhera's work include EEG and Brain-Computer Interfaces (10 papers), Autism Spectrum Disorder Research (7 papers) and Functional Brain Connectivity Studies (7 papers). Tanu Wadhera is often cited by papers focused on EEG and Brain-Computer Interfaces (10 papers), Autism Spectrum Disorder Research (7 papers) and Functional Brain Connectivity Studies (7 papers). Tanu Wadhera collaborates with scholars based in India and United Kingdom. Tanu Wadhera's co-authors include Deepti Kakkar, Girish Wadhwa, Balwinder Raj, Mufti Mahmud, Jatin Bedi, Prathosh AP, John Vijay Sagar Kommu, Manu Kohli and Rajneesh Rani and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Neural Computing and Applications.

In The Last Decade

Tanu Wadhera

16 papers receiving 304 citations

Author Peers

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

Author Last Decade Papers Cites
Tanu Wadhera 135 107 96 58 35 16 317
Jia Cai 118 0.9× 39 0.4× 119 1.2× 30 0.5× 28 0.8× 34 307
D Wise 179 1.3× 52 0.5× 15 0.2× 58 1.0× 30 0.9× 8 353
Xinyu Wu 91 0.7× 139 1.3× 20 0.2× 20 0.3× 11 0.3× 14 364
Yuchen Xu 149 1.1× 243 2.3× 68 0.7× 9 0.2× 7 0.2× 22 343
Yi-Hsuan Hsieh 78 0.6× 22 0.2× 26 0.3× 34 0.6× 55 1.6× 27 332
Penghai Li 83 0.6× 73 0.7× 132 1.4× 34 0.6× 2 0.1× 21 287
Ashraf Badawi 53 0.4× 23 0.2× 67 0.7× 61 1.1× 3 0.1× 27 267
Ali Bozorgmehr 36 0.3× 62 0.6× 67 0.7× 79 1.4× 23 0.7× 37 334
Pei-Hua Chen 24 0.2× 112 1.0× 25 0.3× 43 0.7× 5 0.1× 38 317
Ju-Chun Hsieh 67 0.5× 184 1.7× 123 1.3× 19 0.3× 2 0.1× 15 306

Countries citing papers authored by Tanu Wadhera

Since Specialization
Citations

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

Fields of papers citing papers by Tanu Wadhera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tanu Wadhera

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