World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
42
Citations
6447
World Ranking
6623
National Ranking
1813

Adam Perer publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Adam Perer sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 102 publications — 9th percentile

9% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Adam Perer D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Adam Perer sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 42 D-Index — 35th percentile

35% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

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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