Jay Banerjee

2.2k citations
20 papers · 1.2k · h-index 12

Impact in

Papers in

    • Advanced Database Systems and Queries 16
    • Distributed systems and fault tolerance 4
    • Advanced Data Storage Technologies 4
    • Distributed and Parallel Computing Systems 2
    • Optimization and Search Problems 1
    • Data Management and Algorithms 11

Jay Banerjee

20 papers receiving 1000 citations

Peers

Jay Banerjee
Comparison fields: 5 of 37
  • Computer Networks and Communications 919
  • Signal Processing 423
  • Artificial Intelligence 694
  • Software 77
  • Information Systems 437
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Jay Banerjee relative to Jorge F. Garza United States Jorge F. Garza's profile →
Citations per field
00.5×2.8×
Jorge F. Garza · 1×
Citations per year

Countries citing papers authored by Jay Banerjee

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 20 scholars most cited alongside Jay Banerjee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jay Banerjee Line = papers co-authored together Jay Banerjee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 1987365
2 1987361
3 1987135
4 198890
5 198762
6 199025
7 201421
8 198720
9 198819
10 199919
11 201317
12 201315
13 198710
14 199910
15
Schema Evolution in Object-Oriented Persistent Databases.
198610
16 19869
17 20013
18 19872
19
Efficient Application of Complex Graph Analytics on Very Large Real World RDF Datasets.
20141
20 19991

About Jay Banerjee

Jay Banerjee is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition and Mechanical Engineering, 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), Semantic Web and Ontologies (5 papers), Graph Theory and Algorithms (5 papers), Distributed systems and fault tolerance (4 papers), Advanced Data Storage Technologies (4 papers), Distributed and Parallel Computing Systems (2 papers) and Optimization and Search Problems (1 paper). The work is most often cited by research in Computer Networks and Communications (919 citations), Signal Processing (423 citations), Artificial Intelligence (694 citations), Software (77 citations) and Information Systems (437 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 SIGPLAN Notices, ACM SIGMOD Record, Computer-Aided Design, ACM Transactions on Information Systems and Journal of the Mechanical Behavior of Materials.

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.

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