World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
42
Citations
6447
World Ranking
6620
National Ranking
1812

Overview

Adam Perer is affiliated with Carnegie Mellon University in the United States and has focused research efforts primarily in the field of Computer Science. Their work broadly spans several subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Safety Research, Pulmonary and Respiratory Medicine, and Sociology and Political Science.

Their research topics include Explainable Artificial Intelligence (XAI), Ethics and Social Impacts of AI, Data Visualization and Analytics, Artificial Intelligence applications in Healthcare and Education, Pulmonary Hypertension Research and Treatments, Misinformation and Its Impacts, and Topic Modeling.

Frequently publishing in notable venues, Adam Perer's contributions appear in:

  • arXiv (Cornell University)
  • Proceedings of the ACM on Human-Computer Interaction
  • IEEE Transactions on Visualization and Computer Graphics
  • Circulation
  • CHEST Journal

They have collaborated extensively with several coauthors including Venkatesh Sivaraman, Manreet Kanwar, Kenneth Holstein, Allen D. Everett, and Raymond L. Benza.

Key recent publications by Adam Perer include:

  • "Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support," 2022, CHI Conference on Human Factors in Computing Systems
  • "How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions," 2022, CHI Conference on Human Factors in Computing Systems
  • "An open repository of real-time COVID-19 indicators," 2021, Proceedings of the National Academy of Sciences
  • "Discovering and Validating AI Errors With Crowdsourced Failure Reports," 2021, Proceedings of the ACM on Human-Computer Interaction
  • "Designing Alternative Representations of Confusion Matrices to Support Non-Expert Public Understanding of Algorithm Performance," 2020, Proceedings of the ACM on Human-Computer Interaction

Best Publications

  • Analyzing (social media) networks with NodeXL

    Marc A. Smith;Ben Shneiderman;Natasa Milic-Frayling;Eduarda Mendes Rodrigues

  • Interacting with Predictions: Visual Inspection of Black-box Machine Learning Models

    Josua Krause;Adam Perer;Kenney Ng

  • Balancing Systematic and Flexible Exploration of Social Networks

    A. Perer;B. Shneiderman

  • “Search, Show Context, Expand on Demand”: Supporting Large Graph Exploration with Degree-of-Interest

    F. van Ham;A. Perer

  • Integrating statistics and visualization: case studies of gaining clarity during exploratory data analysis

    Adam Perer;Ben Shneiderman

  • Iterative Refinement of Cohorts Using Visual Exploration and Data Analytics

    David Gotz;Adam Perer;Zhiyuan Zhang

  • Progressive Visual Analytics: User-Driven Visual Exploration of In-Progress Analytics

    Charles D. Stolper;Adam Perer;David Gotz

  • INFUSE: Interactive Feature Selection for Predictive Modeling of High Dimensional Data.

    Josua Krause;Adam Perer;Enrico Bertini

  • S eq 2s eq -V is : A Visual Debugging Tool for Sequence-to-Sequence Models

    Hendrik Strobelt;Sebastian Gehrmann;Michael Behrisch;Adam Perer

  • Frequence: interactive mining and visualization of temporal frequent event sequences

    Adam Perer;Fei Wang

  • Clustervision: Visual Supervision of Unsupervised Clustering

    Bum Chul Kwon;Ben Eysenbach;Janu Verma;Kenney Ng

  • A methodology for interactive mining and visual analysis of clinical event patterns using electronic health record data

    David Gotz;Fei Wang;Adam Perer

  • Mining and exploring care pathways from electronic medical records with visual analytics

    Adam Perer;Fei Wang;Jianying Hu

  • Diversity among enterprise online communities: collaborating, teaming, and innovating through social media

    Michael Muller;Kate Ehrlich;Tara Matthews;Adam Perer

  • Orion: A system for modeling, transformation and visualization of multidimensional heterogeneous networks:

    Jeffrey Heer;Adam Perer

  • Systematic yet flexible discovery: guiding domain experts through exploratory data analysis

    Adam Perer;Ben Shneiderman

  • Coping with Volume and Variety in Temporal Event Sequences: Strategies for Sharpening Analytic Focus

    Fan Du;Ben Shneiderman;Catherine Plaisant;Sana Malik

  • Same places, same things, same people?: mining user similarity on social media

    Ido Guy;Michal Jacovi;Adam Perer;Inbal Ronen

  • Supporting Iterative Cohort Construction with Visual Temporal Queries

    Josua Krause;Adam Perer;Harry Stavropoulos

  • MatrixFlow: temporal network visual analytics to track symptom evolution during disease progression.

    Adam Perer;Jimeng Sun

Frequent Co-Authors

Ben Shneiderman
Ben Shneiderman University of Maryland, College Park
Enrico Bertini
Enrico Bertini Bambino Gesù Children's Hospital
David Gotz
David Gotz University of North Carolina at Chapel Hill
Jianying Hu
Jianying Hu IBM (United States)
Hendrik Strobelt
Hendrik Strobelt IBM (United States)
Catherine Plaisant
Catherine Plaisant University of Maryland, College Park
Eric A. Bier
Eric A. Bier Palo Alto Research Center
Jeffrey Heer
Jeffrey Heer University of Washington
Hanspeter Pfister
Hanspeter Pfister Harvard University
Jimeng Sun
Jimeng Sun University of Illinois at Urbana-Champaign

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