Indrajit Bhattacharya
-
- Data Quality and Management 9
- Artificial Intelligence top 5%
- Semantic Web and Ontologies 3
- Topic Modeling 3
- Advanced Text Analysis Techniques 3
- Information Systems top 5%
- Signal Processing top 10%
- Data Management and Algorithms 2
-
- Complex Network Analysis Techniques 2
- Opinion Dynamics and Social Influence 2
-
- Advanced Database Systems and Queries 2
- Co-authors
- Lise GetoorLouis LicameleRoman VaculínShantanu GodboleSachindra JoshiVinayaka PanditRama Kumar PasumarthiAjay Kattepur
- Journals
- ACM Transactions on Knowledge Discovery from Data (1 paper)arXiv (Cornell University) (1 paper)National Conference on Artificial Intelligence (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Indrajit Bhattacharya
14 papers receiving 400 citations
Peers
Comparison fields: 5 of 50
- Management Science and Operations Research 282
- Artificial Intelligence 312
- Information Systems 146
- Signal Processing 51
- Statistical and Nonlinear Physics 45
Countries citing papers authored by Indrajit Bhattacharya
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
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
The 14 scholars most cited alongside Indrajit Bhattacharya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 1 | |
| 2 | 2021 | 5 | |
| 3 | 2020 | 1 | |
| 4 | 2019 | 9 | |
| 5 | 2018 | 4 | |
| 6 | 2015 | 17 | |
| 7 | 2014 | 8 | |
| 8 | 2008 | 11 | |
| 9 | Online collective entity resolution | 2007 | 1 |
| 10 | 2007 | 13 | |
| 11 | 2006 | 172 | |
| 12 | 2006 | 29 | |
| 13 | 2005 | 33 | |
| 14 | 2004 | 131 |
About Indrajit Bhattacharya
Indrajit Bhattacharya is a scholar working on Management Science and Operations Research, Artificial Intelligence and Signal Processing, having authored 14 papers that have together received 435 indexed citations. Recurring topics across this work include Data Quality and Management (9 papers), Semantic Web and Ontologies (3 papers), Topic Modeling (3 papers), Advanced Text Analysis Techniques (3 papers), Advanced Database Systems and Queries (2 papers), Complex Network Analysis Techniques (2 papers), Opinion Dynamics and Social Influence (2 papers) and Data Management and Algorithms (2 papers). The work is most often cited by research in Management Science and Operations Research (282 citations), Artificial Intelligence (312 citations) and Information Systems (146 citations). Indrajit Bhattacharya has collaborated with scholars based in United States and India. Frequent co-authors include Lise Getoor, Louis Licamele, Roman Vaculín, Shantanu Godbole, Sachindra Joshi, Vinayaka Pandit, Rama Kumar Pasumarthi, Ajay Kattepur, Arpan Pal and Chayan Sarkar. Their work appears in journals such as ACM Transactions on Knowledge Discovery from Data, arXiv (Cornell University) and National Conference on Artificial Intelligence.
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.