Tapan Parikh

64 total papers · 599 total citations
30 papers, 373 citations indexed

About

Tapan Parikh is a scholar working on Clinical Psychology, Neurology and Cognitive Neuroscience. According to data from OpenAlex, Tapan Parikh has authored 30 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Clinical Psychology, 5 papers in Neurology and 4 papers in Cognitive Neuroscience. Recurrent topics in Tapan Parikh's work include Transcranial Magnetic Stimulation Studies (5 papers), Child and Adolescent Psychosocial and Emotional Development (3 papers) and Treatment of Major Depression (3 papers). Tapan Parikh is often cited by papers focused on Transcranial Magnetic Stimulation Studies (5 papers), Child and Adolescent Psychosocial and Emotional Development (3 papers) and Treatment of Major Depression (3 papers). Tapan Parikh collaborates with scholars based in United States, India and Grenada. Tapan Parikh's co-authors include Basant Pradhan, Mwajuma Chemba, M. D. Mitchell, Gaetano Borriello, Neal Lesh, Brian DeRenzi, John T. Walkup, Jeffrey R. Strawn, Paul E. Croarkin and Umang Shah and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Journal of the American Academy of Child & Adolescent Psychiatry.

In The Last Decade

Tapan Parikh

29 papers receiving 363 citations

Author Peers

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

Author Last Decade Papers Cites
Tapan Parikh 97 73 57 46 42 30 373
Alejandro Rubio-Zarapuz 17 0.2× 54 0.7× 14 0.2× 25 0.5× 7 0.2× 23 408
Inyoung Choi 26 0.3× 25 0.3× 72 1.3× 10 0.2× 16 0.4× 47 420
Jenny Wang 23 0.2× 13 0.2× 22 0.4× 22 0.5× 7 0.2× 33 349
Wenli Zhang 13 0.1× 27 0.4× 106 1.9× 10 0.2× 33 0.8× 31 446
Suptendra Nath Sarbadhikari 34 0.4× 26 0.4× 79 1.4× 5 0.1× 13 0.3× 26 412
Qing Long 8 0.1× 66 0.9× 46 0.8× 9 0.2× 8 0.2× 40 380
William Williams 28 0.3× 25 0.3× 13 0.2× 43 0.9× 2 0.0× 33 437
Yen Lee 9 0.1× 50 0.7× 25 0.4× 15 0.3× 5 0.1× 34 375
Lars Rönnbäck 19 0.2× 47 0.6× 10 0.2× 30 0.7× 11 0.3× 13 414
Wentao Zhao 9 0.1× 78 1.1× 9 0.2× 13 0.3× 15 0.4× 30 442

Countries citing papers authored by Tapan Parikh

Since Specialization
Citations

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

Fields of papers citing papers by Tapan Parikh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tapan Parikh

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