World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
12217
World Ranking
4311
National Ranking
2026

Andreas Paepcke publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Andreas Paepcke sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 250 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 560 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 159 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Andreas Paepcke D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Andreas Paepcke sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 55 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Andreas Paepcke is affiliated with Stanford University in the United States and conducts research primarily in the field of Computer Science. Their work spans several subfields, including Computer Science Applications, Developmental Biology, Signal Processing, Statistics and Probability, and Artificial Intelligence.

The main topics addressed in Paepcke's research include:

  • Online Learning and Analytics
  • Animal Vocal Communication and Behavior
  • Advanced Causal Inference Techniques
  • Explainable Artificial Intelligence (XAI)
  • Marine animal studies overview
  • Primate Behavior and Ecology
  • Music and Audio Processing

Paepcke has contributed to several recent publications, including:

  • "Ambiguous Credentials: How Learners Use and Make Sense of Massively Open Online Courses," 2021, published in The Journal of Higher Education
  • "Forecasting Undergraduate Majors: A Natural Language Approach," 2022, published in AERA Open
  • "Deployment of Embedded Edge-AI for Wildlife Monitoring in Remote Regions," 2021, presented at the 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)
  • "Curriculum Learning to Handle Extreme Class Imbalance for Acoustic Modeling of Forest Elephant Calls," 2021, also presented at the 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)

Frequent publication venues for their work include:

  • 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)
  • The Journal of Higher Education
  • AERA Open

Paepcke has collaborated often with the following coauthors:

  • Mitchell L. Stevens
  • Peter H. Wrege
  • Krystal Laryea
  • Kathy Mirzaei
  • David Lang

The research scope of Paepcke includes interdisciplinary approaches that combine machine learning, acoustic signal processing, and behavioral studies, particularly focused on wildlife monitoring and educational analytics. This multidisciplinary engagement is reflected in the diversity of publication venues and topics covered.

Best Publications

  • Searching the Web

    Arvind Arasu;Junghoo Cho;Hector Garcia-Molina;Andreas Paepcke

  • Wrangler: interactive visual specification of data transformation scripts

    Sean Kandel;Andreas Paepcke;Joseph Hellerstein;Jeffrey Heer

  • Time as essence for photo browsing through personal digital libraries

    Adrian Graham;Hector Garcia-Molina;Andreas Paepcke;Terry Winograd

  • Enterprise Data Analysis and Visualization: An Interview Study

    S. Kandel;A. Paepcke;J. M. Hellerstein;J. Heer

  • The Stanford Digital Library Metadata Architecture

    Michelle Baldonado;Chen Chuan K. Chang;Luis Gravano;Andreas Paepcke

  • Power browser: efficient Web browsing for PDAs

    Orkut Buyukkokten;Hector Garcia-Molina;Andreas Paepcke;Terry Winograd

  • Seeing the whole in parts: text summarization for web browsing on handheld devices

    Orkut Buyukkokten;Hector Garcia-Molina;Andreas Paepcke

  • Cooperative gestures: multi-user gestural interactions for co-located groupware

    Meredith Ringel Morris;Anqi Huang;Andreas Paepcke;Terry Winograd

  • Automatic organization for digital photographs with geographic coordinates

    Mor Naaman;Yee Jiun Song;Andreas Paepcke;Hector Garcia-Molina

  • ButterflyNet: a mobile capture and access system for field biology research

    Ron Yeh;Chunyuan Liao;Scott Klemmer;François Guimbretière

  • STARTS: Stanford proposal for Internet meta-searching

    Luis Gravano;Chen-Chuan K. Chang;Héctor García-Molina;Andreas Paepcke

  • WebBase: a repository of Web pages

    Jun Hirai;Sriram Raghavan;Hector Garcia-Molina;Andreas Paepcke

  • Profiler: integrated statistical analysis and visualization for data quality assessment

    Sean Kandel;Ravi Parikh;Andreas Paepcke;Joseph M. Hellerstein

  • EyePoint: practical pointing and selection using gaze and keyboard

    Manu Kumar;Andreas Paepcke;Terry Winograd

  • Interoperability for digital libraries worldwide

    Andreas Paepcke;Chen-Chuan K. Chang;Terry Winograd;Héctor García-Molina

  • SpotSigs: robust and efficient near duplicate detection in large web collections

    Martin Theobald;Jonathan Siddharth;Andreas Paepcke

  • Context data in geo-referenced digital photo collections

    Mor Naaman;Susumu Harada;QianYing Wang;Hector Garcia-Molina

  • Accordion summarization for end-game browsing on PDAs and cellular phones

    Orkut Buyukkokten;Hector Garcia-Molina;Andreas Paepcke

  • Efficient web browsing on handheld devices using page and form summarization.

    Orkut Buyukkokten;Oliver Kaljuvee;Hector Garcia-Molina;Andreas Paepcke

  • Leveraging context to resolve identity in photo albums

    Mor Naaman;Ron B. Yeh;Hector Garcia-Molina;Andreas Paepcke

Frequent Co-Authors

Hector Garcia-Molina
Hector Garcia-Molina Stanford University
Terry Winograd
Terry Winograd Stanford University
Mor Naaman
Mor Naaman Cornell University
Meredith Ringel Morris
Meredith Ringel Morris Google (United States)
Luis Gravano
Luis Gravano Columbia University
Joseph M. Hellerstein
Joseph M. Hellerstein University of California, Berkeley
Kevin Chen-Chuan Chang
Kevin Chen-Chuan Chang University of Illinois at Urbana-Champaign
Jeffrey Heer
Jeffrey Heer University of Washington
Scott R. Klemmer
Scott R. Klemmer University of California, San Diego
Jeffrey D. Ullman
Jeffrey D. Ullman Stanford University

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