World's Best Scientists 2026 revealed!
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Computer Science
USA
2026

D-Index & Metrics

Computer Science

D-Index
123
Citations
58827
World Ranking
131
National Ranking
76

Research.com Recognitions

  • 2026 - Research.com Computer Science in United States Leader Award
  • 2025 - Research.com Computer Science in United States Leader Award
  • 2023 - Research.com Computer Science in United States Leader Award
  • 2022 - Research.com Computer Science in United States Leader Award
  • 2020 - ACM Fellow For contributions to data semantics and knowledge-enhanced computing
  • 2018 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant and enduring contribution to semantics and knowledge based techniques to transform diverse data into insights and actions.
  • 2018 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2006 - IEEE Fellow For contributions to information integration and workflow management.

Overview

Amit P. Sheth is affiliated with the University of South Carolina in the United States and has a significant body of work primarily in computer science. Their research focuses on artificial intelligence and intersects with fields such as social psychology, information systems, industrial and manufacturing engineering, and cognitive neuroscience.

The major topics addressed in their publications include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Mental Health via Writing
  • Explainable Artificial Intelligence (XAI)
  • Hate Speech and Cyberbullying Detection
  • Advanced Graph Neural Networks
  • Misinformation and Its Impacts

Several papers reflect the breadth of their research interests, including:

  • "Early-onset colorectal cancer: initial clues and current views," 2020, Nature Reviews Gastroenterology & Hepatology
  • "Multimodal mental health analysis in social media," 2020, PLoS ONE
  • "Extracting Diverse Sentiment Expressions with Target-Dependent Polarity from Twitter," 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "A Survey of Hallucination in Large Foundation Models," 2023, arXiv (Cornell University)
  • "Neurosymbolic Artificial Intelligence (Why, What, and How)," 2023, IEEE Intelligent Systems

Frequent co-authors collaborating with this researcher include:

  • Manas Gaur
  • Kaushik Roy
  • Amitava Das
  • Aman Chadha
  • Krishnaprasad Thirunarayan

Publication venues regularly featuring their work are:

  • arXiv (Cornell University)
  • IEEE Internet Computing
  • IEEE Intelligent Systems
  • PLoS ONE
  • Proceedings of the International AAAI Conference on Web and Social Media

Their book publication includes one title published by Springer Nature:

  • Intelligent Systems, 2021

Amit P. Sheth has been recognized with several awards including:

  • ACM Fellow (2020) for contributions to data semantics and knowledge-enhanced computing
  • Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) (2018) for contributions to semantics and knowledge-based techniques to transform data into insights and actions
  • Fellow of the American Association for the Advancement of Science (AAAS) (2018)
  • IEEE Fellow (2006) for contributions to information integration and workflow management

Best Publications

  • Federated database systems for managing distributed, heterogeneous, and autonomous databases

    Amit P. Sheth;James A. Larson

  • An overview of workflow management: from process modeling to workflow automation infrastructure

    Dimitrios Georgakopoulos;Mark Hornick;Amit Sheth

  • Ontology paper: The SSN ontology of the W3C semantic sensor network incubator group

    Michael Compton;Payam Barnaghi;Luis Bermudez;RaúL GarcíA-Castro

  • Machine Learning for Internet of Things Data Analysis: A Survey

    Mohammad Saeid Mahdavinejad;Mohammad Saeid Mahdavinejad;Mohammadreza Rezvan;Mohammadreza Rezvan;Mohammadamin Barekatain;Peyman Adibi

  • Quality of Service for Workflows and Web Service Processes

    Jorge Cardoso;Amit P. Sheth;John A. Miller;Jonathan Arnold

  • OBSERVER: An Approach for Query Processing in Global Information Systems Based on Interoperation Across Pre-Existing Ontologies

    Eduardo Mena;Arantza Illarramendi;Vipul Kashyap;Amit P. Sheth

  • Semantic Sensor Web

    A. Sheth;C. Henson;S.S. Sahoo

  • Changing Focus on Interoperability in Information Systems:From System, Syntax, Structure to Semantics

    Amit P. Sheth

  • Web Service Semantics - WSDL-S

    Rama Akkiraju;Joel Farrell;John A. Miller;Meenakshi Nagarajan

  • Meteor-s web service annotation framework

    Abhijit A. Patil;Swapna A. Oundhakar;Amit P. Sheth;Kunal Verma

  • METEOR-S WSDI: A Scalable P2P Infrastructure of Registries for Semantic Publication and Discovery of Web Services

    Kunal Verma;Kaarthik Sivashanmugam;Amit Sheth;Abhijit Patil

  • System and method for creating a semantic web and its applications in browsing, searching, profiling, personalization and advertising

    Amit Sheth;David Avant;Clemens Bertram

  • Semantic and schematic similarities between database objects: a context-based approach

    Vipul Kashyap;Amit Sheth

  • Semantic E-Workflow Composition

    Jorge Cardoso;Amit Sheth

  • Adding Semantics to Web Services Standards

    Kaarthik Sivashanmugam;Kunal Verma;Amit P. Sheth;John A. Miller

  • Service Level Agreement in Cloud Computing

    Pankesh Patel;Ajith H. Ranabahu;Amit P. Sheth

  • The Semantic Web - ISWC 2008

    Amit P. Sheth;Steffen Staab;Michael Dean;Massimo Paolucci

  • Services Mashups: The New Generation of Web Applications

    D. Benslimane;S. Dustdar;A. Sheth

  • Observer: an approach for query processing in global information systems based on interoperation across pre-existing ontologies

    E. Mena;V. Kashyap;A. Sheth;A. Illarramendi

  • Harnessing Twitter "Big Data" for Automatic Emotion Identification

    Wenbo Wang;Lu Chen;Krishnaprasad Thirunarayan;Amit P. Sheth

  • Modeling Quality of Service for Workflows and Web Service Processes

    Jorge Cardoso;John A. Miller;Amit P. Sheth;Jonathan Arnold

  • Changing focus on interoperability in information systems: from system

    Amit P. Sheth

  • Semantic and Schematic Similarities between Database Objects: A Context-based approach "; The VLDB J

    Vipul Kashyap;Amit P. Sheth

Frequent Co-Authors

John A. Miller
John A. Miller University of Georgia
Jorge Cardoso
Jorge Cardoso University of Coimbra
Olivier Bodenreider
Olivier Bodenreider National Institutes of Health
Pascal Hitzler
Pascal Hitzler Kansas State University
Robert G. Carlson
Robert G. Carlson Wright State University
Jyotishman Pathak
Jyotishman Pathak Cornell University
Payam Barnaghi
Payam Barnaghi Imperial College London
Silvia S. Martins
Silvia S. Martins Columbia University
William S. York
William S. York University of Georgia
Rick L. Tarleton
Rick L. Tarleton University of Georgia

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