Jay Banerjee

77 papers receiving 2.8k citations

Jay Banerjee's Hit Papers

Semantics and implementation of schema evolution in object-oriented databases 1987 · 539 citations
5390+13+26Years since publication100200300400500

Peers

Jay Banerjee
Comparison fields: 5 of 118
  • Geriatrics and Gerontology 361
  • Computer Networks and Communications 1.3k
  • Signal Processing 627
  • Emergency Medicine 297
  • Artificial Intelligence 1.1k
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Aaron Brown United States
Michael G. Kahn United States
Mary T. Roth United States
Steve Webb Australia
Randolph A. Miller United States
Amar K. Das United States
Jim Davies United Kingdom
S. Trent Rosenbloom United States
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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 25 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

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Semantics and implementation of schema evolution in object-oriented databases
Hit paper breakdown →
1987539
2 1987481
3 1987194
4 2013132
5 2015120
6 1987109
7 2012109
8 1988105
9 2020100
10 202075
11 201170
12 201966
13 201158
14 200157
15 201854
16 201253
17 201146
18 201734
19 199031
20 202031

About Jay Banerjee

Jay Banerjee is a scholar working on General Health Professions, Geriatrics and Gerontology, Computer Networks and Communications, Emergency Medicine and Signal Processing, having authored 80 papers that have together received 3.1k indexed citations. Recurring topics across this work include Frailty in Older Adults (19 papers), Advanced Database Systems and Queries (17 papers), Emergency and Acute Care Studies (15 papers), Geriatric Care and Nursing Homes (13 papers), Data Management and Algorithms (11 papers), Hip and Femur Fractures (8 papers), Trauma and Emergency Care Studies (7 papers) and Semantic Web and Ontologies (6 papers). The work is most often cited by research in Geriatrics and Gerontology (361 citations), Computer Networks and Communications (1.3k citations), Signal Processing (627 citations), Emergency Medicine (297 citations) and Artificial Intelligence (1.1k citations). Jay Banerjee has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Hyoung-Joo Kim, Won Kim, Henry F. Korth, Hong‐Tai Chou, Jorge F. Garza, Won Bae Kim, Simon Conroy, Nat Ballou, Darrell Woelk and Graham Martin. Their work appears in journals such as Emergency Medicine Journal, Age and Ageing, Annals of Emergency Medicine, BMJ Open and ACM SIGPLAN Notices.

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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