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D-Index & Metrics

Computer Science

D-Index
46
Citations
14263
World Ranking
6683
National Ranking
2950

Overview

Aniket Kittur is affiliated with Carnegie Mellon University in the United States, contributing extensively to research in Computer Science. Their work spans multiple subfields including Information Systems, Artificial Intelligence, Computer Science Applications, Computer Vision and Pattern Recognition, and Information Systems and Management. The research topics they focus on encompass Open Source Software Innovations, Data Visualization and Analytics, Software Engineering Research, Mobile Crowdsensing and Crowdsourcing, Advanced Text Analysis Techniques, Recommender Systems and Techniques, and Personal Information Management and User Behavior.

Kittur has published numerous papers across a variety of venues. Frequent publication outlets include:

  • arXiv (Cornell University)
  • CHI Conference on Human Factors in Computing Systems
  • Proceedings of the International AAAI Conference on Web and Social Media
  • ACM Transactions on Computer-Human Interaction
  • Journal of Informetrics

Recent papers authored or coauthored by Kittur include:

  • "An Assessment of Intrinsic and Extrinsic Motivation on Task Performance in Crowdsourcing Markets," 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "Augmenting Scientific Creativity with an Analogical Search Engine," 2022, ACM Transactions on Computer-Human Interaction
  • "Metrics and mechanisms: Measuring the unmeasurable in the science of science," 2022, Journal of Informetrics
  • "Crystalline: Lowering the Cost for Developers to Collect and Organize Information for Decision Making," 2022, CHI Conference on Human Factors in Computing Systems
  • "From Who You Know to What You Read: Augmenting Scientific Recommendations with Implicit Social Networks," 2022, CHI Conference on Human Factors in Computing Systems

Kittur frequently collaborates with several researchers including Hyeonsu B Kang, Dafna Shahaf, Joel Chan, Michael Xieyang Liu, and Tom Hope. These collaborations indicate a networked approach to research involving multiple coauthors over time.

Best Publications

  • Crowdsourcing user studies with Mechanical Turk

    Aniket Kittur;Ed H. Chi;Bongwon Suh

  • The future of crowd work

    Aniket Kittur;Jeffrey V. Nickerson;Michael Bernstein;Elizabeth Gerber

  • Harnessing the wisdom of crowds in wikipedia: quality through coordination

    Aniket Kittur;Robert E. Kraut

  • He says, she says: conflict and coordination in Wikipedia

    Aniket Kittur;Bongwon Suh;Bryan A. Pendleton;Ed H. Chi

  • Bridging the gap between physical location and online social networks

    Justin Cranshaw;Eran Toch;Jason Hong;Aniket Kittur

  • CrowdForge: crowdsourcing complex work

    Aniket Kittur;Boris Smus;Susheel Khamkar;Robert E. Kraut

  • The cognitive atlas: toward a knowledge foundation for cognitive neuroscience.

    Russell A. Poldrack;Aniket Kittur;Donald Kalar;Eric Miller

  • An Assessment of Intrinsic and Extrinsic Motivation on Task Performance in Crowdsourcing Markets

    Jakob Rogstadius;Vassilis Kostakos;Aniket Kittur;Boris Smus

  • Don't bite the newbies: how reverts affect the quantity and quality of Wikipedia work

    Aaron Halfaker;Aniket Kittur;John Riedl

  • Beyond Wikipedia: coordination and conflict in online production groups

    Aniket Kittur;Robert E. Kraut

  • Apolo: making sense of large network data by combining rich user interaction and machine learning

    Duen Horng Chau;Aniket Kittur;Jason I. Hong;Christos Faloutsos

  • Instrumenting the crowd: using implicit behavioral measures to predict task performance

    Jeffrey M. Rzeszotarski;Aniket Kittur

  • What's in Wikipedia?: mapping topics and conflict using socially annotated category structure

    Aniket Kittur;Ed H. Chi;Bongwon Suh

  • Lifting the veil: improving accountability and social transparency in Wikipedia with wikidashboard

    Bongwon Suh;Ed H. Chi;Aniket Kittur;Bryan A. Pendleton

  • Crowdsourcing, collaboration and creativity

    Aniket Kittur

  • Can you ever trust a wiki?: impacting perceived trustworthiness in wikipedia

    Aniket Kittur;Bongwon Suh;Ed H. Chi

  • Coordination in collective intelligence: the role of team structure and task interdependence

    Aniket Kittur;Bryant Lee;Robert E. Kraut

  • CrowdWeaver: visually managing complex crowd work

    Aniket Kittur;Susheel Khamkar;Paul André;Robert Kraut

  • The polymath project: lessons from a successful online collaboration in mathematics

    Justin Cranshaw;Aniket Kittur

  • Us vs. Them: Understanding Social Dynamics in Wikipedia with Revert Graph Visualizations

    Bongwon Suh;E.H. Chi;B.A. Pendleton;A. Kittur

  • Regulating Behavior in Online Communities

    Yuqing Ren;Robert Kraut;Sara Kiesler;Paul Resnick

Frequent Co-Authors

Robert E. Kraut
Robert E. Kraut Carnegie Mellon University
Ed H. Chi
Ed H. Chi Google (United States)
Jason Hong
Jason Hong Carnegie Mellon University
Duen Horng Chau
Duen Horng Chau Georgia Institute of Technology
Michael S. Bernstein
Michael S. Bernstein Stanford University
Keith J. Holyoak
Keith J. Holyoak University of California, Los Angeles
John E. Hummel
John E. Hummel University of Illinois at Urbana-Champaign
Brad A. Myers
Brad A. Myers Carnegie Mellon University
Fred W. Sabb
Fred W. Sabb University of Oregon
Christos Faloutsos
Christos Faloutsos Carnegie Mellon University

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