Jagan Sankaranarayanan
- Signal Processing top 0.5%
- Geography, Planning and Development top 0.2%
- Computer Networks and Communications top 2%
- Information Systems top 1%
- Artificial Intelligence top 2%
- Co-authors
- Hanan SametMichael D. LiebermanJon SperlingHouman AlborziBenjamin E. TeitlerDaniele PanozzoAmitabh VarshneyHakan Hacígümüş
- Topics
- Data Management and Algorithms (28 papers)Geographic Information Systems Studies (19 papers)Advanced Database Systems and Queries (12 papers)
- Journals
- Communications of the ACMIEEE Transactions on Knowledge and Data EngineeringIEEE Transactions on Mobile Computing
- Partner nations
- United StatesIndiaChina
In The Last Decade
Jagan Sankaranarayanan
46 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Signal Processing 1.0k
- Geography, Planning and Development 565
- Computer Networks and Communications 542
- Information Systems 529
- Artificial Intelligence 504
Countries citing papers authored by Jagan Sankaranarayanan
This map shows the geographic impact of Jagan Sankaranarayanan'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 Jagan Sankaranarayanan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jagan Sankaranarayanan more than expected).
Fields of papers citing papers by Jagan Sankaranarayanan
This network shows the impact of papers produced by Jagan Sankaranarayanan. 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 Jagan Sankaranarayanan. The network helps show where Jagan Sankaranarayanan may publish in the future.
Co-authorship network of co-authors of Jagan Sankaranarayanan
This figure shows the co-authorship network connecting the top 25 collaborators of Jagan Sankaranarayanan. A scholar is included among the top collaborators of Jagan Sankaranarayanan 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 Jagan Sankaranarayanan. Jagan Sankaranarayanan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 60 | |
| 5 | 5 | |
| 6 | 8 | |
| 7 | 13 | |
| 8 | Online Document Clustering Using the GPU | 0 |
| 9 | 6 | |
| 10 | 12 | |
| 11 | 6 | |
| 12 | 7 | |
| 13 | 7 | |
| 14 | 64 | |
| 15 | 9 | |
| 16 | 99 | |
| 17 | 87 | |
| 18 | 134 | |
| 19 | 2 | |
| 20 | 0 |
About Jagan Sankaranarayanan
Jagan Sankaranarayanan is a scholar working on Geography, Planning and Development, Signal Processing and Computer Networks and Communications, having authored 50 papers that have together received 1.9k indexed citations. Recurring topics across this work include Data Management and Algorithms (28 papers), Geographic Information Systems Studies (19 papers) and Advanced Database Systems and Queries (12 papers). The work is most often cited by research in Geography, Planning and Development (565 citations), Signal Processing (1.0k citations) and Transportation (269 citations). Jagan Sankaranarayanan has collaborated with scholars based in United States, India and China. Frequent co-authors include Hanan Samet, Michael D. Lieberman, Jon Sperling, Houman Alborzi, Benjamin E. Teitler, Daniele Panozzo, Amitabh Varshney, Hakan Hacígümüş, Junichi Tatemura and Jeff LeFevre. Their work appears in journals such as Communications of the ACM, IEEE Transactions on Knowledge and Data Engineering and IEEE Transactions on Mobile Computing.
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.