Jay Banerjee
- Computer Networks and Communications top 1%
- Artificial Intelligence top 2%
- Information Systems top 2%
- Signal Processing top 2%
- Management Information Systems top 5%
- Co-authors
- Hyoung-Joo KimWon KimHong‐Tai ChouHenry F. KorthWon Bae KimJorge F. GarzaNat BallouDarrell Woelk
- Topics
- Advanced Database Systems and Queries (16 papers)Data Management and Algorithms (11 papers)Graph Theory and Algorithms (5 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Jay Banerjee
20 papers receiving 1000 citations
Peers
Comparison fields: 5 of 37
- Computer Networks and Communications 919
- Artificial Intelligence 694
- Information Systems 437
- Signal Processing 423
- Management Information Systems 93
Countries citing papers authored by Jay Banerjee
This map shows the geographic impact of Jay Banerjee'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 Jay Banerjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Banerjee more than expected).
Fields of papers citing papers by Jay Banerjee
This network shows the impact of papers produced by Jay Banerjee. 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 Jay Banerjee. The network helps show where Jay Banerjee may publish in the future.
Co-authorship network of co-authors of Jay Banerjee
This figure shows the co-authorship network connecting the top 25 collaborators of Jay Banerjee. A scholar is included among the top collaborators of Jay Banerjee 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 Jay Banerjee. Jay Banerjee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Efficient Application of Complex Graph Analytics on Very Large Real World RDF Datasets. | 1 |
| 2 | 21 | |
| 3 | 15 | |
| 4 | 17 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 19 | |
| 9 | 25 | |
| 10 | 90 | |
| 11 | 19 | |
| 12 | 135 | |
| 13 | 2 | |
| 14 | 10 | |
| 15 | 62 | |
| 16 | 20 | |
| 17 | 365 | |
| 18 | 361 | |
| 19 | 9 | |
| 20 | Schema Evolution in Object-Oriented Persistent Databases. | 10 |
About Jay Banerjee
Jay Banerjee is a scholar working on Signal Processing, Computer Networks and Communications and Computer Graphics and Computer-Aided Design, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (16 papers), Data Management and Algorithms (11 papers) and Graph Theory and Algorithms (5 papers). The work is most often cited by research in Computer Networks and Communications (919 citations), Signal Processing (423 citations) and Artificial Intelligence (694 citations). Jay Banerjee has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Hyoung-Joo Kim, Won Kim, Hong‐Tai Chou, Henry F. Korth, Won Bae Kim, Jorge F. Garza, Nat Ballou, Darrell Woelk, Zhe Wu and K. V. Ravi Kanth. Their work appears in journals such as ACM SIGMOD Record, Computer-Aided Design and ACM Transactions on 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.