Indrajit Bhattacharya

795 total citations
14 papers, 435 citations indexed

About

Indrajit Bhattacharya is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Indrajit Bhattacharya has authored 14 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Management Science and Operations Research and 4 papers in Information Systems. Recurrent topics in Indrajit Bhattacharya's work include Data Quality and Management (9 papers), Semantic Web and Ontologies (3 papers) and Topic Modeling (3 papers). Indrajit Bhattacharya is often cited by papers focused on Data Quality and Management (9 papers), Semantic Web and Ontologies (3 papers) and Topic Modeling (3 papers). Indrajit Bhattacharya collaborates with scholars based in United States and India. Indrajit Bhattacharya's co-authors include Lise Getoor, Louis Licamele, Vinayaka Pandit, Roman Vaculín, Shantanu Godbole, Sachindra Joshi, Rama Kumar Pasumarthi, Arpan Pal, Chayan Sarkar and Ajay Kattepur and has published in prestigious journals such as ACM Transactions on Knowledge Discovery from Data, arXiv (Cornell University) and National Conference on Artificial Intelligence.

In The Last Decade

Indrajit Bhattacharya

14 papers receiving 400 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Indrajit Bhattacharya United States 9 312 282 146 67 51 14 435
Oliver Lehmberg Germany 8 261 0.8× 229 0.8× 195 1.3× 93 1.4× 73 1.4× 15 414
Esteban Arcaute United States 6 300 1.0× 310 1.1× 105 0.7× 71 1.1× 30 0.6× 10 414
Michael Wick United States 13 427 1.4× 139 0.5× 98 0.7× 54 0.8× 54 1.1× 29 506
Ekaterini Ioannou Germany 11 297 1.0× 348 1.2× 198 1.4× 120 1.8× 61 1.2× 25 444
Sheila Kinsella Ireland 5 170 0.5× 55 0.2× 131 0.9× 45 0.7× 76 1.5× 9 329
Zhaoqi Chen United States 7 183 0.6× 213 0.8× 147 1.0× 49 0.7× 66 1.3× 10 316
Byung-Won On United States 6 212 0.7× 237 0.8× 99 0.7× 32 0.5× 20 0.4× 7 291
Amit Bagga United States 10 571 1.8× 192 0.7× 166 1.1× 25 0.4× 67 1.3× 30 691
Breck Baldwin United States 8 620 2.0× 190 0.7× 122 0.8× 16 0.2× 46 0.9× 14 695
Taylor Cassidy United States 12 502 1.6× 85 0.3× 73 0.5× 24 0.4× 39 0.8× 21 550

Countries citing papers authored by Indrajit Bhattacharya

Since Specialization
Citations

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

Fields of papers citing papers by Indrajit Bhattacharya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Indrajit Bhattacharya

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

All Works

14 of 14 papers shown
1.
Mukherjee, Debayan, et al.. (2021). Learning-based Assistant for Data Migration of Enterprise Information Systems. 1121–1125. 1 indexed citations
2.
Bhattacharya, Indrajit, et al.. (2021). Joint Learning of Representations for Web-tables, Entities and Types using Graph Convolutional Network. 1197–1206. 5 indexed citations
3.
Chowdhury, Rajdip, et al.. (2020). Learning Knowledge Graph for Target-driven Schema Matching. 65–73. 1 indexed citations
4.
Sarkar, Chayan, et al.. (2019). Enabling Human-Like Task Identification From Natural Conversation. arXiv (Cornell University). 6196–6203. 9 indexed citations
5.
Dasgupta, Anirban, et al.. (2018). Discovering Topical Interactions in Text-Based Cascades Using Hidden Markov Hawkes Processes. 923–928. 4 indexed citations
6.
Bhattacharya, Indrajit, et al.. (2015). Online Topic-based Social Influence Analysis for the Wimbledon Championships. 1759–1768. 17 indexed citations
7.
Pasumarthi, Rama Kumar, et al.. (2014). A bayesian framework for estimating properties of network diffusions. 1216–1225. 8 indexed citations
8.
Bhattacharya, Indrajit, Shantanu Godbole, & Sachindra Joshi. (2008). Structured entity identification and document categorization. 25–33. 11 indexed citations
9.
Bhattacharya, Indrajit & Lise Getoor. (2007). Online collective entity resolution. National Conference on Artificial Intelligence. 1606–1609. 1 indexed citations
10.
Bhattacharya, Indrajit & Lise Getoor. (2007). Collective entity resolution in relational data. ACM Transactions on Knowledge Discovery from Data. 1(1). 5–5. 13 indexed citations
11.
Bhattacharya, Indrajit & Lise Getoor. (2006). A Latent Dirichlet Model for Unsupervised Entity Resolution. 47–58. 172 indexed citations
12.
Bhattacharya, Indrajit, Lise Getoor, & Louis Licamele. (2006). Query-time entity resolution. 529–534. 29 indexed citations
13.
Bhattacharya, Indrajit & Lise Getoor. (2005). Relational clustering for multi-type entity resolution. 3–12. 33 indexed citations
14.
Bhattacharya, Indrajit & Lise Getoor. (2004). Iterative record linkage for cleaning and integration. 11–18. 131 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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