Amit Sheth

592 papers receiving 16.2k citations

Amit Sheth's Hit Papers

Early-onset colorectal cancer: initial clues and current views 2020 · 284 citations
2840+10+20Years since publication250500750

Peers

Amit Sheth
Comparison fields: 5 of 189
  • Management Information Systems 3.6k
  • Information Systems 8.4k
  • Artificial Intelligence 8.9k
  • Computer Networks and Communications 5.6k
  • Information Systems and Management 1.1k
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James Hendler United States
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Countries citing papers authored by Amit Sheth

Since Specialization
Citations

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

Fields of papers citing papers by Amit Sheth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 620 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An overview of workflow management: From process modeling to workflow automation infrastructure
Hit paper breakdown →
1995894
2
Quality of service for workflows and web service processes
Hit paper breakdown →
2004567
3
Semantic Sensor Web
Hit paper breakdown →
2008405
4 2004310
5
Early-onset colorectal cancer: initial clues and current views
Hit paper breakdown →
2020284
6
Web Service Semantics - WSDL-S
2005284
7
Service Level Agreement in Cloud Computing
2009259
8 2000254
9 2003236
10
Adding Semantics to Web Services Standards
2003233
11 1996233
12 1992221
13 2012205
14 2015202
15
Semantic (Web) Technology in Action: Ontology Driven Information Systems for Search, Integration, and Analysis
2003197
16 2008169
17 2002160
18
OntoQA: Metric-Based Ontology Quality Analysis
2005151
19 2005145
20 2009137

About Amit Sheth

Amit Sheth is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Management Information Systems and Molecular Biology, having authored 620 papers that have together received 18.2k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (227 papers), Service-Oriented Architecture and Web Services (128 papers), Advanced Database Systems and Queries (93 papers), Business Process Modeling and Analysis (77 papers), Biomedical Text Mining and Ontologies (56 papers), Topic Modeling (53 papers), Data Quality and Management (48 papers) and Scientific Computing and Data Management (44 papers). The work is most often cited by research in Management Information Systems (3.6k citations), Information Systems (8.4k citations), Artificial Intelligence (8.9k citations), Computer Networks and Communications (5.6k citations) and Information Systems and Management (1.1k citations). Amit Sheth has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include John A. Miller, Cory Henson, Kunal Verma, Krishnaprasad Thirunarayan, Jorge Cardoso, Vipul Kashyap, Mark F. Hornick, Satya S. Sahoo, Marek Rusinkiewicz and C. R. Ramakrishnan. Their work appears in journals such as IEEE Internet Computing, IEEE Intelligent Systems, Drug and Alcohol Dependence, ACM SIGMOD Record and Distributed and Parallel Databases.

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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