Prasan Roy
Impact in
- Signal Processing top 2%
- Data Management and Algorithms
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- Advanced Database Systems and Queries
- Distributed systems and fault tolerance
Papers in
-
- Advanced Database Systems and Queries 11
- Constraint Satisfaction and Optimization 2
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- Data Management and Algorithms 10
- Co-authors
- S. Sudarshan (6 shared papers)S. Seshadri (1 shared paper)Alberto O. Mendelzon (1 shared paper)Krithi Ramamritham (3 shared papers)Mukesh Mohania (5 shared papers)Venkatesan T. Chakaravarthy (3 shared papers)Himanshu Gupta (2 shared papers)Sumit Sanghai (2 shared papers)
- Journals
- ACM SIGMOD Record (2 papers)Journal of Computer and System Sciences (1 paper)Proceedings - International Conference on Data Engineering (1 paper)DSpace (IIT Bombay) (1 paper)Very Large Data Bases (1 paper)
- Partner nations
- IndiaUnited StatesCanada
In The Last Decade
Prasan Roy
15 papers receiving 804 citations
Peers
Comparison fields: 5 of 32
- Signal Processing 437
- Computer Networks and Communications 630
- Artificial Intelligence 440
- Information Systems 282
- Management Science and Operations Research 90
Countries citing papers authored by Prasan Roy
This map shows the geographic impact of Prasan Roy'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 Prasan Roy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prasan Roy more than expected).
Fields of papers citing papers by Prasan Roy
This network shows the impact of papers produced by Prasan Roy. 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 Prasan Roy. The network helps show where Prasan Roy may publish in the future.
Co-authors
The 18 scholars most cited alongside Prasan Roy, 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 | 2000 | 266 | |
| 2 | 2004 | 179 | |
| 3 | 2001 | 118 | |
| 4 | 2002 | 72 | |
| 5 | 2008 | 57 | |
| 6 | 2001 | 44 | |
| 7 | 2003 | 43 | |
| 8 | 2006 | 42 | |
| 9 | 2001 | 28 | |
| 10 | 2005 | 24 | |
| 11 | 2007 | 13 | |
| 12 | 2009 | 5 | |
| 13 | Bridging the XML Relational Divide with LegoDB. | 2003 | 2 |
| 14 | 2005 | 1 | |
| 15 | 2002 | 1 |
About Prasan Roy
Prasan Roy is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Management Science and Operations Research and Information Systems, having authored 15 papers that have together received 895 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (11 papers), Data Management and Algorithms (10 papers), Semantic Web and Ontologies (6 papers), Data Quality and Management (3 papers), Constraint Satisfaction and Optimization (2 papers), Data Stream Mining Techniques (1 paper), Advanced Text Analysis Techniques (1 paper) and Spam and Phishing Detection (1 paper). The work is most often cited by research in Signal Processing (437 citations), Computer Networks and Communications (630 citations), Artificial Intelligence (440 citations), Information Systems (282 citations) and Management Science and Operations Research (90 citations). Prasan Roy has collaborated with scholars based in India, United States and Canada. Frequent co-authors include S. Sudarshan, S. Seshadri, Alberto O. Mendelzon, Krithi Ramamritham, Mukesh Mohania, Venkatesan T. Chakaravarthy, Himanshu Gupta, Sumit Sanghai, Nilesh Dalvi and Juliana Freire. Their work appears in journals such as ACM SIGMOD Record, Journal of Computer and System Sciences, Proceedings - International Conference on Data Engineering, DSpace (IIT Bombay) and Very Large Data Bases.
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.