Prasan Roy
Impact in
- Signal Processing top 1%
- 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 17
- Constraint Satisfaction and Optimization 2
-
- Data Management and Algorithms 16
- Co-authors
- S. Sudarshan (9 shared papers)S. Seshadri (1 shared paper)Alberto O. Mendelzon (1 shared paper)Krithi Ramamritham (3 shared papers)Mukesh Mohania (6 shared papers)Venkatesan T. Chakaravarthy (3 shared papers)Himanshu Gupta (2 shared papers)Maya Ramanath (5 shared papers)
- Journals
- ACM SIGMOD Record (2 papers)Journal of Computer and System Sciences (1 paper)Lecture notes in computer science (2 papers)Very Large Data Bases (1 paper)Proceedings - International Conference on Data Engineering (1 paper)
- Partner nations
- IndiaUnited StatesCanada
In The Last Decade
Prasan Roy
21 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 34
- Signal Processing 592
- Computer Networks and Communications 842
- Artificial Intelligence 630
- Information Systems 368
- Management Science and Operations Research 112
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
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 328 | |
| 2 | 2004 | 236 | |
| 3 | 2001 | 145 | |
| 4 | 2002 | 94 | |
| 5 | 2008 | 70 | |
| 6 | 2003 | 53 | |
| 7 | 2006 | 52 | |
| 8 | 2001 | 51 | |
| 9 | 2001 | 39 | |
| 10 | 2005 | 29 | |
| 11 | 2002 | 25 | |
| 12 | 2003 | 24 | |
| 13 | 2007 | 20 | |
| 14 | 2009 | 5 | |
| 15 | 2018 | 4 | |
| 16 | 2002 | 4 | |
| 17 | Bridging the XML Relational Divide with LegoDB. | 2003 | 3 |
| 18 | 2007 | 3 | |
| 19 | 2009 | 2 | |
| 20 | 2005 | 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 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (17 papers), Data Management and Algorithms (16 papers), Semantic Web and Ontologies (11 papers), Data Quality and Management (3 papers), Algorithms and Data Compression (2 papers), Constraint Satisfaction and Optimization (2 papers), Spam and Phishing Detection (1 paper) and Advanced Clustering Algorithms Research (1 paper). The work is most often cited by research in Signal Processing (592 citations), Computer Networks and Communications (842 citations), Artificial Intelligence (630 citations), Information Systems (368 citations) and Management Science and Operations Research (112 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, Maya Ramanath, Jayant R. Haritsa and Juliana Freire. Their work appears in journals such as ACM SIGMOD Record, Journal of Computer and System Sciences, Lecture notes in computer science, Very Large Data Bases and Proceedings - International Conference on Data Engineering.
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.