World's Best Scientists 2026 revealed!

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Computer Science

D-Index
98
Citations
39403
World Ranking
406
National Ranking
224

Research.com Recognitions

  • 2017 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2003 - ACM Fellow For contributions to database technology.

Overview

Hosagrahar V. Jagadish is affiliated with the University of Michigan-Ann Arbor in the United States. Their research primarily focuses on the field of Computer Science, with particular expertise in artificial intelligence and its applications. Their work spans several subfields including Artificial Intelligence, Computer Science Applications, Management Science and Operations Research, Information Systems and Management, and Safety Research.

The main topics addressed in their publications cover multiple areas such as Scientific Computing and Data Management, Ethics and Social Impacts of AI, Machine Learning and Data Classification, Explainable Artificial Intelligence (XAI), Data Quality and Management, Data Stream Mining Techniques, and Mobile Crowdsensing and Crowdsourcing.

Frequent publication venues for their research include:

  • Proceedings of the VLDB Endowment
  • arXiv (Cornell University)
  • ACM SIGMOD Record
  • ACM Computing Surveys
  • Proceedings of the 2022 International Conference on Management of Data

Some of the recent papers authored or coauthored by Jagadish include:

  • "Representation Bias in Data: A Survey on Identification and Resolution Techniques," 2023, published in ACM Computing Surveys
  • "Responsible Data Integration: Next-generation Challenges," 2022, published in Proceedings of the 2022 International Conference on Management of Data
  • "Circles of Privacy," 2020, published in Journal of Consumer Psychology
  • "CompactIE: Compact Facts in Open Information Extraction," 2022, published in Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  • "Can Machine Learning Overcome the 95% Failure Rate and Reality that Only 30% of Approved Cancer Drugs Meaningfully Extend Patient Survival?", 2024, published in Journal of Medicinal Chemistry

Jagadish has collaborated frequently with several coauthors, including Abolfazl Asudeh, Fatemeh Nargesian, Qingpeng Cai, Kaiping Zheng, and James Yip.

The scientist received recognition through awards such as the ACM Fellow in 2003, granted for contributions to database technology, and was designated a Fellow of the American Association for the Advancement of Science (AAAS) in 2017.

Best Publications

  • Big data and its technical challenges

    H. V. Jagadish;Johannes Gehrke;Alexandros Labrinidis;Yannis Papakonstantinou

  • Structural joins: a primitive for efficient XML query pattern matching

    S. Al-Khalifa;H.V. Jagadish;N. Koudas;J.M. Patel

  • Challenges and opportunities with big data

    Alexandros Labrinidis;H. V. Jagadish

  • Efficient retrieval of similar time sequences under time warping

    Byoung-Kee Yi;H.V. Jagadish;C. Faloutsos

  • Analysis of the clustering properties of the Hilbert space-filling curve

    B. Moon;H.V. Jagadish;C. Faloutsos;J.H. Saltz

  • The TV-tree: an index structure for high-dimensional data

    King Ip Lin;H. V. Jagadish;Christos Faloutsos

  • iDistance: An adaptive B+-tree based indexing method for nearest neighbor search

    H. V. Jagadish;Beng Chin Ooi;Kian-Lee Tan;Cui Yu

  • Approximate String Joins in a Database (Almost) for Free

    Luis Gravano;Panagiotis G. Ipeirotis;H. V. Jagadish;Nick Koudas

  • Linear clustering of objects with multiple attributes

    H. V. Jagadish

  • Efficiently supporting ad hoc queries in large datasets of time sequences

    Flip Korn;H. V. Jagadish;Christos Faloutsos

  • TIMBER: A native XML database

    H. V. Jagadish;S. Al-Khalifa;A. Chapman;L. V. S. Lakshmanan

  • Constructing an interactive natural language interface for relational databases

    Fei Li;H. V. Jagadish

  • Finding k-dominant skylines in high dimensional space

    Chee-Yong Chan;H. V. Jagadish;Kian-Lee Tan;Anthony K. H. Tung

  • Efficient management of transitive relationships in large data and knowledge bases

    R. Agrawal;A. Borgida;H. V. Jagadish

  • Optimal Histograms with Quality Guarantees

    H. V. Jagadish;Nick Koudas;S. Muthukrishnan;Viswanath Poosala

  • BATON: a balanced tree structure for peer-to-peer networks

    H. V. Jagadish;Beng Chin Ooi;Quang Hieu Vu

  • Composite Event Specification in Active Databases: Model & Implementation

    Narain H. Gehani;H. V. Jagadish;Oded Shmueli

  • Evaluating Structural Similarity in XML Documents

    Andrew Nierman;H. V. Jagadish

  • Schema-free XQuery

    Yunyao Li;Cong Yu;H. V. Jagadish

  • Metscape 2 bioinformatics tool for the analysis and visualization of metabolomics and gene expression data

    Alla Karnovsky;Terry Weymouth;Tim Hull;V. Glenn Tarcea

  • Indexing the Distance: An Efficient Method to KNN Processing

    Cui Yu;Beng Chin Ooi;Kian-Lee Tan;H. V. Jagadish

Frequent Co-Authors

Divesh Srivastava
Divesh Srivastava AT&T (United States)
Beng Chin Ooi
Beng Chin Ooi National University of Singapore
Laks V. S. Lakshmanan
Laks V. S. Lakshmanan University of British Columbia
Cong Yu
Cong Yu Google (United States)
Jignesh M. Patel
Jignesh M. Patel Carnegie Mellon University
Christos Faloutsos
Christos Faloutsos Carnegie Mellon University
Kian-Lee Tan
Kian-Lee Tan National University of Singapore
Michael Rabinovich
Michael Rabinovich Case Western Reserve University

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