Amit Sheth

36.2k citations
622 papers · 18.3k indexed · 4 hit papers · h-index 70

Amit Sheth

589 papers receiving 16.3k citations

Hit Papers

Early-onset col...2691995202620052015250500750

Peers

Amit Sheth
Comparison fields: 5 of 201
  • Management Information Systems 3.6k
  • Information Systems 8.5k
  • Artificial Intelligence 9.1k
  • Computer Networks and Communications 5.6k
  • Information Systems and Management 1.1k
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James Hendler United States
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Citations per field
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Citations per year

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-authorship network

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
#Work
1 20250
2 20247
3 20243
4 202313
5 20234
6 20233
7 20202
8
Semantic Web-Based Information Systems: State-of-the-Art Applications
20141
9
Perspectives in Modeling: Simulation, Database, and Workflow
20140
10
Computing for Human Experience: Semantics Empowered Cyber-Physical, Social and Ubiquitous Computing Beyond the Web
20142
11
Characterising Concepts of Interest Leveraging Linked Data and the Social Web
20131
12
Semantic Analytics Visualization
20061
13
Active Semantic Electronic Medical Record
20063
14
A Framework for Schema-Driven Relationship Discovery from Unstructured Text
20066
15
Demonstrating Dynamic Configuration and Execution of Web Processes
20054
16
An Ontological Approach to the Document Access Problem of Insider Threat
20055
17
Semantic Interoperability and Integration
200430
18 199877
19 199645
20
Adaptive concurrency control for distributed database systems /
19850

About Amit Sheth

Amit Sheth is a scholar working on Artificial Intelligence, Management Information Systems and Information Systems, having authored 622 papers that have together received 18.3k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (231 papers), Service-Oriented Architecture and Web Services (129 papers), Advanced Database Systems and Queries (94 papers), Business Process Modeling and Analysis (77 papers), Biomedical Text Mining and Ontologies (58 papers), Topic Modeling (55 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 (8.5k citations) and Artificial Intelligence (9.1k citations). Amit Sheth has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include John A. Miller, Cory Henson, Jorge Cardoso, Kunal Verma, Krishnaprasad Thirunarayan, Dimitrios Georgakopoulos, Vipul Kashyap, Mark F. Hornick, Satya S. Sahoo and Marek Rusinkiewicz. 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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