World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
6229
World Ranking
10708
National Ranking
4474

Research.com Recognitions

  • 2017 - ACM Senior Member

Overview

Chirag Shah is affiliated with the University of Washington in the United States and specializes in computer science with a focus on artificial intelligence, information systems, and safety research. Their work encompasses several subfields including sociology and political science, as well as applications of computer science. The main topics covered in their research involve ethics and social impacts of AI, recommender systems and techniques, topic modeling, mobile crowdsensing and crowdsourcing, explainable artificial intelligence (XAI), information retrieval and search behavior, and privacy-preserving technologies in data.

Among their recent publications are:

  • "Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review" (2024, ACM Computing Surveys)
  • "Envisioning Information Access Systems: What Makes for Good Tools and a Healthy Web?" (2024, ACM Transactions on the Web)
  • "Why Am I Not Seeing It? Understanding Users' Needs for Counterfactual Explanations in Everyday Recommendations" (2022, 2022 ACM Conference on Fairness, Accountability, and Transparency)
  • "An iSchool approach to data science: Human-centered, socially responsible, and context-driven" (2021, Journal of the Association for Information Science and Technology)
  • "Fairness-Aware Explainable Recommendation over Knowledge Graphs" (2020, arXiv - Cornell University)

The scientist has co-authored extensively with several colleagues, including Ryen W. White, Ruoyuan Gao, Yunhe Feng, Sahil Verma, and Reid Andersen.

Their research output has frequently appeared in notable publication venues such as arXiv (Cornell University), SSRN Electronic Journal, Journal of the Association for Information Science and Technology, ACM Transactions on the Web, and Communications of the ACM.

Chirag Shah has also contributed to the academic community through book publications. Two notable works include "A Hands-On Introduction to Data Science" published by Cambridge University Press in 2020 and "Task Intelligence for Search and Recommendation," published by Morgan & Claypool Publishers in 2021.

They have been recognized as an ACM Senior Member since 2017.

Best Publications

  • Evaluating and predicting answer quality in community QA

    Chirag Shah;Jefferey Pomerantz

  • Agenda Setting in a Digital Age: Tracking Attention to California Proposition 8 in Social Media, Online News and Conventional News

    Ben Sayre;Leticia Bode;Dhavan Shah;Dave Wilcox

  • Algorithmic mediation for collaborative exploratory search

    Jeremy Pickens;Gene Golovchinsky;Chirag Shah;Pernilla Qvarfordt

  • Fairness-Aware Explainable Recommendation over Knowledge Graphs

    Zuohui Fu;Yikun Xian;Ruoyuan Gao;Jieyu Zhao

  • Collaborative information seeking

    Chirag Shah

  • Evaluating the synergic effect of collaboration in information seeking

    Chirag Shah;Roberto González-Ibáñez

  • Exploring characteristics and effects of user participation in online social Q&A sites

    Chirag Shah;Jung Sun Oh;Sanghee Oh

  • Awareness in collaborative information seeking

    Chirag Shah;Gary Marchionini

  • Collaborative Information Seeking: The Art and Science of Making the Whole Greater than the Sum of All

    Chirag Shah

  • Situating Search

    Unknown

  • Collaborative Information Seeking: A Literature Review

    Chirag Shah

  • Coagmento - A Collaborative Information Seeking, Synthesis, and Sense-making Framework

    Chirag Shah

  • Exploring information seeking processes in collaborative search tasks

    Chirag Shah;Roberto González-Ibáñez

  • Toward creating a fairer ranking in search engine results

    Ruoyuan Gao;Chirag Shah

  • Evaluating high accuracy retrieval techniques

    Chirag Shah;W. Bruce Croft

  • User Activity Patterns During Information Search

    Michael J. Cole;Chathra Hendahewa;Nicholas J. Belkin;Chirag Shah

  • Collaborative user network embedding for social recommender systems

    Chuxu Zhang;Lu Yu;Yan Wang;Chirag Shah

  • Social Q&A and virtual reference—comparing apples and oranges with the help of experts and users

    Chirag Shah;Vanessa Kitzie

  • UMass at TDT 2004

    Margaret Connell;Ao Feng;Giridhar Kumaran;Hema Raghavan

  • Coagmento : A System for Supporting Collaborative Information Seeking

    Roberto I. González-Ibáñez;Chirag Shah

  • Role-based results redistribution for collaborative information retrieval

    Chirag Shah;Jeremy Pickens;Gene Golovchinsky

Frequent Co-Authors

Nicholas J. Belkin
Nicholas J. Belkin Rutgers, The State University of New Jersey
Gary Marchionini
Gary Marchionini University of North Carolina at Chapel Hill
Diane Kelly
Diane Kelly University of Tennessee at Knoxville
Ryen W. White
Ryen W. White Microsoft (United States)
Karen Littleton
Karen Littleton The Open University
Cassidy R. Sugimoto
Cassidy R. Sugimoto Indiana University
W. Bruce Croft
W. Bruce Croft University of Massachusetts Amherst
Carolyn Penstein Rosé
Carolyn Penstein Rosé Carnegie Mellon University
Leif Azzopardi
Leif Azzopardi University of Strathclyde
Bart Rienties
Bart Rienties The Open University

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