World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
59
Citations
25996
World Ranking
3329
National Ranking
1615

Research.com Recognitions

  • 2004 - IEEE Fellow For contributions to the development of models and metrics for multimedia information processing.

Overview

Jaideep Srivastava is affiliated with the University of Minnesota in the United States. Their research spans multiple fields, primarily focusing on computer science and social sciences. Within these domains, Srivastava's work covers subfields such as sociology and political science, artificial intelligence, statistical and nonlinear physics, communication, and information systems.

The main topics addressed in their research include misinformation and its impacts, complex network analysis techniques, spam and phishing detection, digital marketing and social media, machine learning in healthcare, obstructive sleep apnea research, and public relations and crisis communication.

Srivastava has published papers in various venues, with frequent appearances in arXiv (Cornell University), Journal of Advertising, SLEEP, bioRxiv (Cold Spring Harbor Laboratory), and the 2022 IEEE 10th International Conference on Healthcare Informatics (ICHI).

Recent papers authored or coauthored by Srivastava include:

  • From Purchasing Exposure to Fostering Engagement: Brand-Consumer Experiences in the Emerging Computational Advertising Landscape, 2020, Journal of Advertising
  • You reap where you sow: a trust-based approach to initial seeding for viral advertising, 2020, International Journal of Advertising
  • Trust Amongst Rogues? A Hypergraph Approach for Comparing Clandestine Trust Networks in MMOGs, 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • Scalable clustering by aggregating representatives in hierarchical groups, 2022, Pattern Recognition
  • A review of HPV and HBV vaccine hesitancy, intention, and uptake in the era of social media and COVID-19, 2023, eLife

Srivastava has collaborated extensively with several researchers, with frequent coauthors including Bhavtosh Rath, Jisu Huh, Euna Mehnaz Khan, P. Krishna Reddy, and Emily K. Vraga.

In addition to journal articles and conference papers, Srivastava has contributed to multiple book publications through Springer Science+Business Media, particularly in the series Advances in Knowledge Discovery and Data Mining, with publications in 2021 and 2022.

Their contributions have been formally recognized by the IEEE, which named Srivastava a Fellow in 2004 for their work on developing models and metrics for multimedia information processing.

Best Publications

  • Web usage mining: discovery and applications of usage patterns from Web data

    Jaideep Srivastava;Robert Cooley;Mukund Deshpande;Pang-Ning Tan

  • Data Preparation for Mining World Wide Web Browsing Patterns

    Robert Cooley;Bamshad Mobasher;Jaideep Srivastava

  • Web mining: information and pattern discovery on the World Wide Web

    R. Cooley;B. Mobasher;J. Srivastava

  • Automatic personalization based on Web usage mining

    Bamshad Mobasher;Robert Cooley;Jaideep Srivastava

  • Selecting the right interestingness measure for association patterns

    Pang-Ning Tan;Vipin Kumar;Jaideep Srivastava

  • Selecting the right objective measure for association analysis

    Pang-Ning Tan;Vipin Kumar;Jaideep Srivastava

  • Event detection from time series data

    Valery Guralnik;Jaideep Srivastava

  • Creating adaptive Web sites through usage-based clustering of URLs

    B. Mobasher;R. Cooley;J. Srivastava

  • Web usage mining: discovery and application of interesting patterns from web data

    Robert Walker Cooley;Jaideep Srivastava

  • Data Mining for Network Intrusion Detection

    Paul Dokas;Levent Ertoz;Vipin Kumar;Aleksandar Lazarevic

  • Adaptive binary splitting for efficient RFID tag anti-collision

    Jihoon Myung;Wonjun Lee;J. Srivastava

  • Grouping Web page references into transactions for mining World Wide Web browsing patterns

    R. Cooley;B. Mobasher;J. Srivastava

  • Tag-Splitting: Adaptive Collision Arbitration Protocols for RFID Tag Identification

    Jihoon Myung;Wonjun Lee;Jaideep Srivastava;Timothy K. Shih

  • First 20 precision among World Wide Web search services (search engines)

    H. Vernon Leighton;Jaideep Srivastava

  • Intrusion Detection: A Survey

    Aleksandar Lazarevic;Vipin Kumar;Jaideep Srivastava

  • A probabilistic approach to modeling and estimating the QoS of web-services-based workflows

    San-Yih Hwang;Haojun Wang;Jian Tang;Jaideep Srivastava

  • Entity identification in database integration

    Ee-Peng Lim;Jaideep Srivastava;Satya Prabhakar;James Richardson

  • Sleep Quality Prediction From Wearable Data Using Deep Learning

    Aarti Sathyanarayana;Shafiq Joty;Luis Fernandez-Luque;Ferda Ofli

  • Discovery of Interesting Usage Patterns from Web Data

    Robert Cooley;Pang-Ning Tan;Jaideep Srivastava

  • Predicting trusts among users of online communities: an epinions case study

    Haifeng Liu;Ee-Peng Lim;Hady W. Lauw;Minh-Tam Le

Frequent Co-Authors

Wonjun Lee
Wonjun Lee Korea University
Vipin Kumar
Vipin Kumar University of Minnesota
Ee-Peng Lim
Ee-Peng Lim Singapore Management University
Myra Spiliopoulou
Myra Spiliopoulou Otto-von-Guericke University Magdeburg
Noshir Contractor
Noshir Contractor Northwestern University
Shafiq Joty
Shafiq Joty Salesforce (United States)
Dmitri Williams
Dmitri Williams University of Southern California
Bamshad Mobasher
Bamshad Mobasher DePaul University
Duminda Wijesekera
Duminda Wijesekera George Mason University
Pang-Ning Tan
Pang-Ning Tan Michigan State University

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