Ritwik Banerjee

864 total citations
26 papers, 511 citations indexed

About

Ritwik Banerjee is a scholar working on Artificial Intelligence, Molecular Biology and Sociology and Political Science. According to data from OpenAlex, Ritwik Banerjee has authored 26 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Molecular Biology and 5 papers in Sociology and Political Science. Recurrent topics in Ritwik Banerjee's work include Topic Modeling (10 papers), Misinformation and Its Impacts (5 papers) and Natural Language Processing Techniques (5 papers). Ritwik Banerjee is often cited by papers focused on Topic Modeling (10 papers), Misinformation and Its Impacts (5 papers) and Natural Language Processing Techniques (5 papers). Ritwik Banerjee collaborates with scholars based in United States, India and Malaysia. Ritwik Banerjee's co-authors include Yejin Choi, Song Feng, Dibyajit Lahiri, Moupriya Nag, Ankita Dey, J. KANG, Rina Rani Ray, Tanmay Sarkar, Hisham Atan Edinur and Bandita Dutta and has published in prestigious journals such as Polymers, Frontiers in Cellular and Infection Microbiology and Applied Biochemistry and Biotechnology.

In The Last Decade

Ritwik Banerjee

23 papers receiving 477 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ritwik Banerjee United States 7 242 234 164 86 68 26 511
Shivam Agarwal India 10 115 0.5× 152 0.6× 23 0.1× 17 0.2× 14 0.2× 42 431
Uzzal Kumar Acharjee Bangladesh 13 105 0.4× 159 0.7× 24 0.1× 45 0.5× 56 0.8× 41 488
Meena Nagarajan India 10 56 0.2× 148 0.6× 31 0.2× 86 1.0× 13 0.2× 24 501
David Wagner United States 6 76 0.3× 64 0.3× 79 0.5× 79 0.9× 40 0.6× 9 347
Blaž Škrlj Slovenia 13 65 0.3× 177 0.8× 58 0.4× 106 1.2× 20 0.3× 40 393
Nouf M. Alzahrani Saudi Arabia 10 71 0.3× 86 0.4× 20 0.1× 78 0.9× 10 0.1× 15 563
Ahmed Zellou Morocco 9 156 0.6× 139 0.6× 24 0.1× 25 0.3× 18 0.3× 95 414
Yasuo Kudo Japan 11 161 0.7× 124 0.5× 20 0.1× 21 0.2× 24 0.4× 54 409
Xiaoqing Wang China 10 27 0.1× 54 0.2× 34 0.2× 106 1.2× 31 0.5× 54 630
Umme Habiba Bangladesh 12 92 0.4× 58 0.2× 36 0.2× 56 0.7× 41 0.6× 69 458

Countries citing papers authored by Ritwik Banerjee

Since Specialization
Citations

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

Fields of papers citing papers by Ritwik Banerjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ritwik Banerjee

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

All Works

20 of 20 papers shown
2.
Banerjee, Ritwik, et al.. (2023). Context-aware Medication Event Extraction from Unstructured Text. 86–95.
3.
Das, Sandip, et al.. (2023). Dissolution rates of various brands of proton pump inhibitors in combination with domperidone: an in vitro study. International Journal of Basic & Clinical Pharmacology. 12(6). 816–822. 1 indexed citations
4.
Ray, Indrakshi, et al.. (2023). Claim Extraction and Dynamic Stance Detection in COVID-19 Tweets. 1059–1068. 1 indexed citations
5.
Banerjee, Ritwik, et al.. (2022). Beyond belief: a cross-genre study on perception and validation of health information online. International Journal of Data Science and Analytics. 13(4). 299–314. 2 indexed citations
6.
7.
Banerjee, Ritwik, et al.. (2022). Seeing Should Probably Not Be Believing: The Role of Deceptive Support in COVID-19 Misinformation on Twitter. Journal of Data and Information Quality. 15(1). 1–26. 2 indexed citations
8.
Lahiri, Dibyajit, Moupriya Nag, Ritwik Banerjee, et al.. (2021). Amylases: Biofilm Inducer or Biofilm Inhibitor?. Frontiers in Cellular and Infection Microbiology. 11. 660048–660048. 61 indexed citations
9.
Zhang, Qi, et al.. (2021). An Empirical Assessment of the Qualitative Aspects of Misinformation in Health News. 76–81. 3 indexed citations
10.
Banerjee, Ritwik, Marcela Ibáñez, Gerhard Riener, & Soham Sahoo. (2021). Affirmative action and application strategies: Evidence from field experiments in Columbia. RePEc: Research Papers in Economics. 4 indexed citations
11.
Nag, Moupriya, Dibyajit Lahiri, Ritwik Banerjee, et al.. (2021). Functionalized Chitosan Nanomaterials: A Jammer for Quorum Sensing. Polymers. 13(15). 2533–2533. 30 indexed citations
12.
Lahiri, Dibyajit, Moupriya Nag, Bandita Dutta, et al.. (2021). Catechin as the Most Efficient Bioactive Compound from Azadirachta indica with Antibiofilm and Anti-quorum Sensing Activities Against Dental Biofilm: an In Vitro and In Silico Study. Applied Biochemistry and Biotechnology. 193(6). 1617–1630. 53 indexed citations
13.
Zhao, Yu, et al.. (2019). Style Change Detection with Feed-forward Neural Networks.. CLEF (Working Notes). 4 indexed citations
14.
Banerjee, Ritwik, et al.. (2018). A Hybrid Recognition System for Check-worthy Claims Using Heuristics and Supervised Learning.. CLEF (Working Notes). 5 indexed citations
15.
Banerjee, Ritwik, et al.. (2014). Automated Suggestion of Tests for Identifying Likelihood of Adverse Drug Events. 170–175. 6 indexed citations
16.
Banerjee, Ritwik, Song Feng, J. KANG, & Yejin Choi. (2014). Keystroke Patterns as Prosody in Digital Writings: A Case Study with Deceptive Reviews and Essays. 1469–1473. 36 indexed citations
17.
Feng, Song, Ritwik Banerjee, & Yejin Choi. (2012). Syntactic Stylometry for Deception Detection. Meeting of the Association for Computational Linguistics. 171–175. 262 indexed citations
18.
Feng, Song, Ritwik Banerjee, & Yejin Choi. (2012). Characterizing Stylistic Elements in Syntactic Structure. Empirical Methods in Natural Language Processing. 1522–1533. 18 indexed citations
19.
Banerjee, Ritwik, et al.. (2012). A case of adrenocortical cancer with cannon ball pulmonary metastasis and primary hyperaldosteronism. 28. 1 indexed citations
20.
Banerjee, Ritwik, et al.. (1991). Accident and emergency. Making use of photography.. PubMed. 87(44). 30–1. 1 indexed citations

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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