Kripabandhu Ghosh

1.5k total citations
61 papers, 654 citations indexed

About

Kripabandhu Ghosh is a scholar working on Artificial Intelligence, Political Science and International Relations and Communication. According to data from OpenAlex, Kripabandhu Ghosh has authored 61 papers receiving a total of 654 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Artificial Intelligence, 17 papers in Political Science and International Relations and 13 papers in Communication. Recurrent topics in Kripabandhu Ghosh's work include Topic Modeling (35 papers), Natural Language Processing Techniques (20 papers) and Artificial Intelligence in Law (17 papers). Kripabandhu Ghosh is often cited by papers focused on Topic Modeling (35 papers), Natural Language Processing Techniques (20 papers) and Artificial Intelligence in Law (17 papers). Kripabandhu Ghosh collaborates with scholars based in India, Ireland and Australia. Kripabandhu Ghosh's co-authors include Saptarshi Ghosh, Moumita Basu, Arindam Pal, Paheli Bhattacharya, Prasenjit Majumder, Debasis Ganguly, Arnab Bhattacharya, Swapan Kumar Parui, Tanmoy Chakraborty and Sourav Kumar Dandapat and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and IEEE Access.

In The Last Decade

Kripabandhu Ghosh

52 papers receiving 617 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kripabandhu Ghosh India 15 482 215 158 119 96 61 654
Sukomal Pal India 12 479 1.0× 63 0.3× 95 0.6× 105 0.9× 292 3.0× 63 712
Harlan Yu United States 5 142 0.3× 228 1.1× 28 0.2× 128 1.1× 87 0.9× 5 717
Lin Tzy Li Brazil 8 101 0.2× 200 0.9× 294 1.9× 202 1.7× 47 0.5× 21 591
Babak Akhgar United Kingdom 11 110 0.2× 46 0.2× 76 0.5× 125 1.1× 125 1.3× 80 423
Claudio Schifanella Italy 11 251 0.5× 33 0.2× 60 0.4× 78 0.7× 232 2.4× 53 599
Lilian Mitrou Greece 11 105 0.2× 35 0.2× 11 0.1× 121 1.0× 173 1.8× 33 336
Kellyton Brito Brazil 10 75 0.2× 79 0.4× 52 0.3× 65 0.5× 53 0.6× 40 265
Choochart Haruechaiyasak Thailand 15 416 0.9× 10 0.0× 81 0.5× 127 1.1× 250 2.6× 68 681
Miguel Camacho‐Collados Spain 7 143 0.3× 25 0.1× 28 0.2× 70 0.6× 59 0.6× 11 340
Roy George United States 11 147 0.3× 21 0.1× 15 0.1× 89 0.7× 66 0.7× 45 509

Countries citing papers authored by Kripabandhu Ghosh

Since Specialization
Citations

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

Fields of papers citing papers by Kripabandhu Ghosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kripabandhu Ghosh

This figure shows the co-authorship network connecting the top 25 collaborators of Kripabandhu Ghosh. A scholar is included among the top collaborators of Kripabandhu Ghosh 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 Kripabandhu Ghosh. Kripabandhu Ghosh 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
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Ghosh, Kripabandhu, et al.. (2025). Unveiling the hidden connections: Using explainable artificial intelligence to assess water quality criteria in nine giant rivers. Journal of Cleaner Production. 492. 144861–144861. 6 indexed citations
4.
Ghosh, Kripabandhu, et al.. (2024). Applicability of large language models and generative models for legal case judgement summarization. Artificial Intelligence and Law. 33(4). 1007–1050. 8 indexed citations
5.
Ghosh, Kripabandhu, et al.. (2024). Okra: A potential super food for today’s generation. International Journal of Advanced Biochemistry Research. 8(12). 507–515.
6.
Roy, Dwaipayan, et al.. (2024). A case study for automated attribute extraction from legal documents using large language models. Artificial Intelligence and Law. 34(1). 245–266. 3 indexed citations
7.
Ghosh, Kripabandhu, et al.. (2023). Fairness for both Readers and Authors: Evaluating Summaries of User Generated Content. 1996–2000. 1 indexed citations
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Ghosh, Kripabandhu, et al.. (2021). A sequence labeling model for catchphrase identification from legal case documents. Artificial Intelligence and Law. 30(3). 325–358. 10 indexed citations
10.
Ghosh, Kripabandhu, et al.. (2021). Unsupervised approaches for measuring textual similarity between legal court case reports. Artificial Intelligence and Law. 29(3). 417–451. 39 indexed citations
11.
Bhattacharya, Paheli, Parth Mehta, Kripabandhu Ghosh, et al.. (2020). FIRE 2020 AILA Track: Artificial Intelligence for Legal Assistance. 1–3. 8 indexed citations
12.
Bhattacharya, Paheli, Kripabandhu Ghosh, Saptarshi Ghosh, et al.. (2019). Overview of the FIRE 2019 AILA Track: Artificial Intelligence for Legal Assistance.. 1–11. 6 indexed citations
13.
Basu, Moumita, et al.. (2019). Extracting Resource Needs and Availabilities From Microblogs for Aiding Post-Disaster Relief Operations. IEEE Transactions on Computational Social Systems. 6(3). 604–618. 52 indexed citations
14.
Biswas, Arindam, et al.. (2018). Beyond ROUGE Scores in Algorithmic Summarization: Creating Fairness-Preserving Textual Summaries.. arXiv (Cornell University). 1 indexed citations
15.
Ghosh, Kripabandhu, et al.. (2018). Retrieving Information from Multiple Sources. 43–44. 1 indexed citations
16.
Ghosh, Kripabandhu, et al.. (2017). Overview of the FIRE 2017 IRLeD Track: Information Retrieval from Legal Documents.. 63–68. 9 indexed citations
17.
Ghosh, Saptarshi & Kripabandhu Ghosh. (2016). Overview of the FIRE 2016 Microblog track: Information Extraction from Microblogs Posted during Disasters.. 56–61. 11 indexed citations
18.
Ghosh, Kripabandhu, et al.. (2016). Improving Information Retrieval Performance on OCRed Text in the Absence of Clean Text Ground Truth. Information Processing & Management. 52(5). 873–884. 13 indexed citations
19.
Pal, Sukomal, et al.. (2012). Passage Retrieval for Tweet Contextualization at INEX 2012.. 3 indexed citations
20.
Ghosh, Kripabandhu, et al.. (2010). Indian Statistical Institute, Kolkata at TREC 2010 : Legal Interactive. Text REtrieval Conference.

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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