Debasis Ganguly

1.6k total citations
100 papers, 806 citations indexed

About

Debasis Ganguly is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Debasis Ganguly has authored 100 papers receiving a total of 806 indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Artificial Intelligence, 42 papers in Information Systems and 22 papers in Computer Vision and Pattern Recognition. Recurrent topics in Debasis Ganguly's work include Topic Modeling (56 papers), Information Retrieval and Search Behavior (33 papers) and Natural Language Processing Techniques (27 papers). Debasis Ganguly is often cited by papers focused on Topic Modeling (56 papers), Information Retrieval and Search Behavior (33 papers) and Natural Language Processing Techniques (27 papers). Debasis Ganguly collaborates with scholars based in Ireland, India and United Kingdom. Debasis Ganguly's co-authors include Gareth J. F. Jones, Mandar Mitra, Dwaipayan Roy, Johannes Leveling, Manisha Verma, Utpal Garain, Piyush Arora, Kripabandhu Ghosh, Derek Greene and Saptarshi Ghosh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Pattern Recognition and Pattern Recognition Letters.

In The Last Decade

Debasis Ganguly

93 papers receiving 782 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Debasis Ganguly Ireland	14	564	358	131	58	49	100	806
Corinna Breitinger Germany	12	509 0.9×	526 1.5×	123 0.9×	36 0.6×	67 1.4×	26	884
Shourya Roy India	16	581 1.0×	269 0.8×	112 0.9×	74 1.3×	53 1.1×	57	789
Xuan-Hieu Phan Japan	11	661 1.2×	255 0.7×	74 0.6×	32 0.6×	35 0.7×	42	825
Nicholas Kolkin United States	4	630 1.1×	183 0.5×	139 1.1×	43 0.7×	30 0.6×	4	822
Jyun‐Yu Jiang United States	14	389 0.7×	215 0.6×	88 0.7×	93 1.6×	39 0.8×	49	665
Robert Jäschke Germany	14	374 0.7×	507 1.4×	122 0.9×	77 1.3×	138 2.8×	47	750
Bo-June Hsu United States	13	715 1.3×	338 0.9×	116 0.9×	88 1.5×	82 1.7×	23	1.1k
Amin Mantrach Spain	11	285 0.5×	239 0.7×	98 0.7×	40 0.7×	41 0.8×	19	545
Giuseppe Rizzo Italy	18	778 1.4×	374 1.0×	113 0.9×	41 0.7×	56 1.1×	64	1.0k

Countries citing papers authored by Debasis Ganguly

Since Specialization

Citations

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

Fields of papers citing papers by Debasis Ganguly

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debasis Ganguly

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

All Works

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20 of 20 papers shown

Zhang, Shuo, et al.. (2025). ProActLLM: Proactive Conversational Information Seeking with Large Language Models. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 6894–6897.

Ganguly, Debasis, et al.. (2025). The “Curious Case of Contexts” in Retrieval‐Augmented Generation With a Combination of Labeled and Unlabeled Data. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 15(2). 1 indexed citations

Ganguly, Debasis, et al.. (2025). HF-RAG: Hierarchical Fusion-based RAG with Multiple Sources and Rankers. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 5202–5207.

Ganguly, Debasis, Gül Çalıklı, Debarshi Kumar Sanyal, et al.. (2024). Overview of the “Information Retrieval in Software Engineering” (IRSE) track at Forum for Information Retrieval 2024. 18–21.

Parry, Andrew, et al.. (2024). Few-shot Prompting for Pairwise Ranking: An Effective Non-Parametric Retrieval Model. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 12363–12377. 2 indexed citations

Majumder, Prasenjit, et al.. (2024). Findings of Shared Task on Spoken Query Cross-Lingual Information Retrieval for the Indic Languages at FIRE 2024. 26–28.

Ganguly, Debasis, et al.. (2023). Unsupervised Query Performance Prediction for Neural Models with Pairwise Rank Preferences. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 2486–2490. 4 indexed citations

Ganguly, Debasis, et al.. (2022). Kernel density estimation based factored relevance model for multi-contextual point-of-interest recommendation. Information Retrieval. 25(1). 44–90. 7 indexed citations

Bonin, Francesca, Martin Gleize, Ailbhe N. Finnerty, et al.. (2020). HBCP Corpus: A New Resource for the Analysis of Behavioural Change Intervention Reports.. Language Resources and Evaluation. 1967–1975. 1 indexed citations

10.

Ganguly, Debasis, et al.. (2020). The Curious Case of IR Explainability: Explaining Document Scores within and across Ranking Models. 2069–2072. 6 indexed citations

11.

Pasi, Gabriella, et al.. (2017). Evaluation of Personalised Information Retrieval at CLEF 2017 (PIR-CLEF): Towards a Reproducible Evaluation Framework for PIR.. BOA (University of Milano-Bicocca). 1866. 1 indexed citations

12.

Li, Wei, Debasis Ganguly, & Gareth J. F. Jones. (2016). Using WordNet for Query Expansion: ADAPT @ FIRE 2016 Microblog Track.. 62–65. 5 indexed citations

13.

Roy, Dwaipayan, Debasis Ganguly, Mandar Mitra, & Gareth J. F. Jones. (2016). Word Vector Compositionality based Relevance Feedback using Kernel Density Estimation. 1281–1290. 18 indexed citations

14.

Ganguly, Debasis, Iacer Calixto, & Gareth J. F. Jones. (2015). Overview of the Automated Story Illustration Task at FIRE 2015.. 63–66. 4 indexed citations

15.

Ganguly, Debasis, Johannes Leveling, & Gareth J. F. Jones. (2014). Automatic Prediction of Aesthetics and Interestingness of Text Passages. International Conference on Computational Linguistics. 905–916. 3 indexed citations

16.

Leveling, Johannes, Debasis Ganguly, Sandipan Dandapat, & Gareth J. F. Jones. (2012). Approximate Sentence Retrieval for Scalable and Efficient Example-Based Machine Translation. International Conference on Computational Linguistics. 42(3). 1571–1586. 4 indexed citations

17.

Ganguly, Debasis, Johannes Leveling, & Gareth J. F. Jones. (2012). DCU@FIRE-2012: Rule-based Stemmers for Bengali and Hindi. Arrow@dit (Dublin Institute of Technology). 96(5). 28–32. 7 indexed citations

18.

Ganguly, Debasis, Johannes Leveling, & Gareth J. F. Jones. (2012). DCU@INEX-2012: Exploring Sentence Retrieval for Tweet Contextualization. Arrow@dit (Dublin Institute of Technology). 5 indexed citations

19.

Ganguly, Debasis, Johannes Leveling, & Gareth J. F. Jones. (2012). Cross-Lingual Topical Relevance Models. Arrow@dit (Dublin Institute of Technology). 927–942. 4 indexed citations

20.

Ganguly, Debasis, Johannes Leveling, & Gareth J. F. Jones. (2010). Exploring Sentence Level Query Expansion in Language Modeling Based Information Retrieval. Arrow@dit (Dublin Institute of Technology). 3 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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