Pritam Gundecha

632 total citations
13 papers, 174 citations indexed

About

Pritam Gundecha is a scholar working on Artificial Intelligence, Information Systems and Information Systems and Management. According to data from OpenAlex, Pritam Gundecha has authored 13 papers receiving a total of 174 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Information Systems and 6 papers in Information Systems and Management. Recurrent topics in Pritam Gundecha's work include Scientific Computing and Data Management (6 papers), Research Data Management Practices (4 papers) and Privacy-Preserving Technologies in Data (3 papers). Pritam Gundecha is often cited by papers focused on Scientific Computing and Data Management (6 papers), Research Data Management Practices (4 papers) and Privacy-Preserving Technologies in Data (3 papers). Pritam Gundecha collaborates with scholars based in United States. Pritam Gundecha's co-authors include Huan Liu, Geoffrey Barbier, Zhuo Feng, Suhas Ranganath, Xi Fang, Guoliang Xue, Dejun Yang, Rama Akkiraju, Jalal Mahmud and Mansurul Bhuiyan and has published in prestigious journals such as ACM Transactions on Knowledge Discovery from Data, ACM Transactions on Interactive Intelligent Systems and arXiv (Cornell University).

In The Last Decade

Pritam Gundecha

12 papers receiving 164 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pritam Gundecha United States 9 72 70 50 50 50 13 174
Aaron Schram United States 5 68 0.9× 45 0.6× 61 1.2× 56 1.1× 20 0.4× 6 183
Yannis Stavrakas Greece 7 67 0.9× 98 1.4× 34 0.7× 15 0.3× 14 0.3× 26 171
Frank McCown United States 10 203 2.8× 54 0.8× 102 2.0× 24 0.5× 22 0.4× 25 264
Javier Conejero Spain 7 106 1.5× 38 0.5× 116 2.3× 24 0.5× 36 0.7× 19 229
Sagnik Ray Choudhury United States 12 73 1.0× 134 1.9× 10 0.2× 14 0.3× 26 0.5× 18 251
Evelyn Balfe Ireland 6 245 3.4× 69 1.0× 43 0.9× 18 0.4× 24 0.5× 8 285
Le‐Hung Vu Switzerland 7 87 1.2× 144 2.1× 203 4.1× 116 2.3× 8 0.2× 13 321
Andrea Perego Italy 8 94 1.3× 231 3.3× 68 1.4× 221 4.4× 16 0.3× 22 351
Rachael Rafter Ireland 7 124 1.7× 59 0.8× 29 0.6× 20 0.4× 9 0.2× 16 170
Owen Phelan Ireland 4 175 2.4× 119 1.7× 51 1.0× 49 1.0× 6 0.1× 6 299

Countries citing papers authored by Pritam Gundecha

Since Specialization
Citations

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

Fields of papers citing papers by Pritam Gundecha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pritam Gundecha

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

All Works

13 of 13 papers shown
1.
Tan, Yu, Pritam Gundecha, N. H. Burnett, et al.. (2025). EKRAG: Benchmark RAG for Enterprise Knowledge Question Answering. 152–159.
2.
Xu, Anbang, et al.. (2024). Generative AI and Retrieval-Augmented Generation (RAG) Systems for Enterprise. 5599–5602. 2 indexed citations
3.
Bhuiyan, Mansurul, et al.. (2019). Modeling and Computational Characterization of Twitter Customer Service Conversations. ACM Transactions on Interactive Intelligent Systems. 9(2-3). 1–28. 3 indexed citations
4.
Gundecha, Pritam, et al.. (2017). "How May I Help You?": Modeling Twitter Customer Service Conversations Using Fine-Grained Dialogue Acts. arXiv (Cornell University). 16 indexed citations
5.
Gundecha, Pritam, Geoffrey Barbier, Jiliang Tang, & Huan Liu. (2014). User Vulnerability and Its Reduction on a Social Networking Site. ACM Transactions on Knowledge Discovery from Data. 9(2). 1–25. 11 indexed citations
6.
Gundecha, Pritam, Suhas Ranganath, Zhuo Feng, & Huan Liu. (2013). A tool for collecting provenance data in social media. 1462–1465. 21 indexed citations
7.
Gundecha, Pritam, Zhuo Feng, & Huan Liu. (2013). Seeking provenance of information using social media. 1691–1696. 15 indexed citations
8.
Ranganath, Suhas, Pritam Gundecha, & Huan Liu. (2013). A tool for assisting provenance search in social media. 2517–2520. 10 indexed citations
9.
Feng, Zhuo, Pritam Gundecha, & Huan Liu. (2013). Recovering information recipients in social media via provenance. 706–711. 9 indexed citations
10.
Barbier, Geoffrey, Zhuo Feng, Pritam Gundecha, & Huan Liu. (2013). Provenance Data in Social Media. 3 indexed citations
11.
Barbier, Geoffrey, Zhuo Feng, Pritam Gundecha, & Huan Liu. (2013). Provenance Data in Social Media. 4(1). 1–84. 25 indexed citations
12.
Gundecha, Pritam, Geoffrey Barbier, & Huan Liu. (2011). Exploiting vulnerability to secure user privacy on a social networking site. 511–519. 39 indexed citations
13.
Fang, Xi, Dejun Yang, Pritam Gundecha, & Guoliang Xue. (2010). Multi-Constrained Anypath Routing in Wireless Mesh Networks. 16. 1–9. 20 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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