Srikanta Bedathur
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Information Systems top 2%
- Signal Processing top 2%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Gerhard WeikumKlaus BerberichStephan SeufertRalitsa AngelovaAndrey GubichevAvishek AnandThomas NeumannJayant R. Haritsa
- Topics
- Data Management and Algorithms (19 papers)Advanced Database Systems and Queries (15 papers)Web Data Mining and Analysis (14 papers)
- Partner nations
- IndiaGermanyUnited States
In The Last Decade
Srikanta Bedathur
72 papers receiving 852 citations
Peers
Comparison fields: 5 of 71
- Artificial Intelligence 456
- Computer Networks and Communications 296
- Information Systems 279
- Signal Processing 267
- Computer Vision and Pattern Recognition 186
Countries citing papers authored by Srikanta Bedathur
This map shows the geographic impact of Srikanta Bedathur'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 Srikanta Bedathur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Srikanta Bedathur more than expected).
Fields of papers citing papers by Srikanta Bedathur
This network shows the impact of papers produced by Srikanta Bedathur. 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 Srikanta Bedathur. The network helps show where Srikanta Bedathur may publish in the future.
Co-authorship network of co-authors of Srikanta Bedathur
This figure shows the co-authorship network connecting the top 25 collaborators of Srikanta Bedathur. A scholar is included among the top collaborators of Srikanta Bedathur 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 Srikanta Bedathur. Srikanta Bedathur is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 13 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 16 | |
| 10 | 24 | |
| 11 | Proceedings of the 20th International Conference on Management of Data | 13 |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 5 | |
| 15 | 6 | |
| 16 | Efficiently Identifying Interesting Time-Points in Text Archive Search | 1 |
| 17 | Time Will Tell: Leveraging Temporal Expressions in IR | 18 |
| 18 | FluxCapacitor: Efficient Time-Travel Text Search | 11 |
| 19 | Efficient Time-Travel on Versioned Text Collections | 4 |
| 20 | EntityAuthority: Semantically Enriched Graph-Based Authority Propagation | 6 |
About Srikanta Bedathur
Srikanta Bedathur is a scholar working on Signal Processing, Artificial Intelligence and Information Systems, having authored 77 papers that have together received 896 indexed citations. Recurring topics across this work include Data Management and Algorithms (19 papers), Advanced Database Systems and Queries (15 papers) and Web Data Mining and Analysis (14 papers). The work is most often cited by research in Signal Processing (267 citations), Statistical and Nonlinear Physics (181 citations) and Artificial Intelligence (456 citations). Srikanta Bedathur has collaborated with scholars based in India, Germany and United States. Frequent co-authors include Gerhard Weikum, Klaus Berberich, Stephan Seufert, Ralitsa Angelova, Andrey Gubichev, Avishek Anand, Thomas Neumann, Jayant R. Haritsa, Amitabha Bagchi and Ralf Schenkel. Their work appears in journals such as Proceedings of the VLDB Endowment, Lecture notes in computer science and Information Systems.
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.