Jayant Madhavan

8.3k citations
43 papers · 3.9k · 1 hit paper · h-index 26

Impact in

Papers in

Jayant Madhavan

43 papers receiving 3.4k citations

Jayant Madhavan's Hit Papers

Generic Schema Matching with Cupid 2001 · 705 citations
7050+8+16Years since publication200400600

Peers

Jayant Madhavan
Comparison fields: 5 of 80
  • Information Systems 2.2k
  • Management Science and Operations Research 1.2k
  • Artificial Intelligence 2.6k
  • Computer Networks and Communications 1.7k
  • Signal Processing 654
Replace Sunita Sarawagi with:
Sunita Sarawagi India
Renée J. Miller Canada
Axel Polleres Austria
Mauricio A. Hernández United States
Bernardo Cuenca Grau United Kingdom
Richard Cyganiak Ireland
Floris Geerts Belgium
Alberto H. F. Laender Brazil
Laura M. Haas United States
Tova Milo Israel
Jayant Madhavan relative to Sunita Sarawagi India Sunita Sarawagi's profile →
Citations per field
00.5×1.5×
Sunita Sarawagi · 1×
Citations per year

Countries citing papers authored by Jayant Madhavan

Since Specialization
Citations

This map shows the geographic impact of Jayant Madhavan'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 Jayant Madhavan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jayant Madhavan more than expected).

Fields of papers citing papers by Jayant Madhavan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jayant Madhavan. 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 Jayant Madhavan. The network helps show where Jayant Madhavan may publish in the future.

Co-authors

The 25 scholars most cited alongside Jayant Madhavan, 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 Jayant Madhavan Line = papers co-authored together Jayant Madhavan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Generic Schema Matching with Cupid
Hit paper breakdown →
2001705
2 2002488
3 2005331
4 2003260
5 2008203
6
Web-scale Data Integration: You can only afford to Pay As You Go
2007199
7 2011196
8 2011148
9 2004138
10 2002124
11 2010120
12 2010105
13 200385
14 200978
15 201064
16 201162
17 200955
18 200548
19 200944
20 201240

About Jayant Madhavan

Jayant Madhavan is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Management Science and Operations Research and Signal Processing, having authored 43 papers that have together received 3.9k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (19 papers), Data Quality and Management (17 papers), Advanced Database Systems and Queries (16 papers), Web Data Mining and Analysis (16 papers), Data Management and Algorithms (8 papers), Topic Modeling (5 papers), Service-Oriented Architecture and Web Services (4 papers) and Scientific Computing and Data Management (4 papers). The work is most often cited by research in Information Systems (2.2k citations), Management Science and Operations Research (1.2k citations), Artificial Intelligence (2.6k citations), Computer Networks and Communications (1.7k citations) and Signal Processing (654 citations). Jayant Madhavan has collaborated with scholars based in United States, Germany and Denmark. Frequent co-authors include Alon Halevy, Philip A. Bernstein, Erhard Rahm, Pedro Domingos, AnHai Doan, Xin Luna Dong, David Ko, Warren Shen, Robin Dhamankar and Michael Cafarella. Their work appears in journals such as ACM SIGMOD Record, Proceedings of the VLDB Endowment, The VLDB Journal, Communications of the ACM and IEEE Transactions on Knowledge and 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.

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