Tanvi Banerjee

104 total papers · 1.1k total citations
49 papers, 673 citations indexed

About

Tanvi Banerjee is a scholar working on Artificial Intelligence, Genetics and Sociology and Political Science. According to data from OpenAlex, Tanvi Banerjee has authored 49 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 7 papers in Genetics and 7 papers in Sociology and Political Science. Recurrent topics in Tanvi Banerjee's work include Hemoglobinopathies and Related Disorders (7 papers), Misinformation and Its Impacts (5 papers) and Machine Learning in Healthcare (5 papers). Tanvi Banerjee is often cited by papers focused on Hemoglobinopathies and Related Disorders (7 papers), Misinformation and Its Impacts (5 papers) and Machine Learning in Healthcare (5 papers). Tanvi Banerjee collaborates with scholars based in United States, Netherlands and South Korea. Tanvi Banerjee's co-authors include Amit Sheth, William L. Romine, Krishnaprasad Thirunarayan, Amir Hossein Yazdavar, Nirmish Shah, Noah L. Schroeder, Monireh Ebrahimi, Jyotishman Pathak, Larry Lawhorne and Reza Sadeghi and has published in prestigious journals such as Blood, Neuroscience and Computers & Education.

In The Last Decade

Tanvi Banerjee

43 papers receiving 651 citations

Author Peers

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

Author Last Decade Papers Cites
Tanvi Banerjee 190 133 120 94 79 49 673
Mahmood Alzubaidi 152 0.8× 60 0.5× 67 0.6× 62 0.7× 79 1.0× 49 680
Patrick Kenny 185 1.0× 146 1.1× 42 0.3× 48 0.5× 88 1.1× 37 663
Norina Gasteiger 170 0.9× 223 1.7× 55 0.5× 36 0.4× 79 1.0× 44 698
Yuxi Jia 76 0.4× 88 0.7× 34 0.3× 70 0.7× 89 1.1× 25 595
Sarah Aziz 165 0.9× 94 0.7× 37 0.3× 140 1.5× 178 2.3× 30 739
Alberto Sanna 129 0.7× 121 0.9× 106 0.9× 32 0.3× 91 1.2× 39 643
Panote Siriaraya 78 0.4× 85 0.6× 114 0.9× 65 0.7× 82 1.0× 79 749
José Alberto Benítez‐Andrades 171 0.9× 79 0.6× 51 0.4× 32 0.3× 28 0.4× 65 751
Moushumi Sharmin 85 0.4× 45 0.3× 102 0.8× 143 1.5× 155 2.0× 43 717
Adam Palanica 146 0.8× 86 0.6× 53 0.4× 66 0.7× 124 1.6× 21 585

Countries citing papers authored by Tanvi Banerjee

Since Specialization
Citations

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

Fields of papers citing papers by Tanvi Banerjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tanvi Banerjee

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