World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
10625
World Ranking
7095
National Ranking
344

Michael Beigl 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 Michael Beigl 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: 249 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: 559 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: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 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: 425 publications — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Michael Beigl 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 Michael Beigl sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 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: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Overview

Michael Beigl is affiliated with the Karlsruhe Institute of Technology in Germany. Their research spans multiple fields within computer science and engineering, focusing on both theoretical and applied aspects. The main fields of study for their work include Computer Science with 75 publications and Engineering with 34 publications.

Their research further extends into several subfields, such as Artificial Intelligence, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Human-Computer Interaction, and Cognitive Neuroscience. These subfields highlight the interdisciplinary nature of their work across computational and cognitive domains.

Michael Beigl's research topics cover a range of areas, including:

  • Context-Aware Activity Recognition Systems
  • Anomaly Detection Techniques and Applications
  • Advanced Memory and Neural Computing
  • Ferroelectric and Negative Capacitance Devices
  • Tactile and Sensory Interactions
  • IoT and Edge/Fog Computing
  • Time Series Analysis and Forecasting

The scientist has contributed to frequent publication venues such as:

  • arXiv (Cornell University) with 11 publications
  • Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies with 6 publications
  • Scientific Reports with 3 publications
  • IEEE Access with 2 publications
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems with 2 publications

Notable recent papers by Michael Beigl include:

  • "Sensing with Earables," 2022, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • "Psychometric Properties of the User Experience Questionnaire (UEQ)," 2022, CHI Conference on Human Factors in Computing Systems
  • "The Merits of a Decentralized Pollution-Monitoring System Based on Distributed Ledger Technology," 2020, IEEE Access
  • "Investigating Retention in Passive Haptic Learning of Piano Songs," 2021, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • "Realization and training of an inverter-based printed neuromorphic computing system," 2021, Scientific Reports

The scientist's frequent co-authors include:

  • Till Riedel (23 joint publications)
  • Yiran Huang (16 joint publications)
  • Michael Hefenbrock (15 joint publications)
  • Tobias Röddiger (12 joint publications)
  • Haibin Zhao (11 joint publications)

Best Publications

  • There is more to context than location

    Albrecht Schmidt;Michael Beigl;Hans-Werner Gellersen

  • Smart-Its Friends: A Technique for Users to Easily Establish Connections between Smart Artefacts

    Lars Erik Holmquist;Friedemann Mattern;Bernt Schiele;Petteri Alahuhta

  • Multi-sensor context-awareness in mobile devices and smart artifacts

    Hans W. Gellersen;Albercht Schmidt;Michael Beigl

  • Mediacups: experience with design and use of computer-augmented everyday artefacts

    Michael Beigl;Hans-W. Gellersen;Albrecht Schmidt

  • RF-Sensing of Activities from Non-Cooperative Subjects in Device-Free Recognition Systems Using Ambient and Local Signals

    Stephan Sigg;Markus Scholz;Shuyu Shi;Yusheng Ji

  • ActiServ: Activity Recognition Service for mobile phones

    Martin Berchtold;Matthias Budde;Dawud Gordon;Hedda R. Schmidtke

  • Supply chain management using item detection system

    Michael Beigl;Christian Decker;Uwe Kubach

  • The MediaCup: Awareness Technology Embedded in a Everyday Object

    Hans-Werner Gellersen;Michael Beigl;Holger Krull

  • Smart-Its: An Embedded Platform for Smart Objects

    M. Beigl;H. Gellersen

  • Building intelligent environments with Smart-Its

    L.E. Holmquist;H.W. Gellersen;G. Kortuem;S. Antifakos

  • Physical prototyping with Smart-Its

    H. Gellersen;G. Kortuem;A. Schmidt;M. Beigl

  • A Location Model for Communicating and Processing of Context

    Michael Beigl;Tobias Zimmer;Christian Decker

  • Using a 2DST waveguide for usable, physically constrained out-of-band Wi-Fi authentication

    Matthias Budde;Marcel Köpke;Matthias Berning;Till Riedel

  • Adding some smartness to devices and everyday things

    H.-W. Gellersen;A. Schmidt;M. Beigl

  • UbiComp 2005: Ubiquitous Computing

    Michael Beigl;Stephen Intille;Jun Rekimoto;Hideyuki Tokuda

  • Enabling low-cost particulate matter measurement for participatory sensing scenarios

    Matthias Budde;Rayan El Masri;Till Riedel;Michael Beigl

  • Typical Sensors needed in Ubiquitous and Pervasive Computing

    Michael Beigl;Albert Krohn;Tobias Zimmer;Christian Decker

  • MemoClip: A Location-Based Remembrance Appliance

    Michael Beigl

  • Handheld computing

    B.A. Myers;M. Beigl

  • AwareCon: Situation Aware Context Communication

    Michael Beigl;Albert Krohn;Tobias Zimmer;Christian Decker

  • UbiComp 2005: Ubiquitous Computing: 7th International Conference, UbiComp 2005, Tokyo, Japan, September 11-14, 2005, Proceedings (Lecture Notes in Computer Science)

    Michael Beigl;Stephen Intille;Jun Rekimoto;Hideyuki Tokuda

Frequent Co-Authors

Hans Gellersen
Hans Gellersen Aarhus University
Mehdi B. Tahoori
Mehdi B. Tahoori Karlsruhe Institute of Technology
Paul Lukowicz
Paul Lukowicz German Research Centre for Artificial Intelligence
Yusheng Ji
Yusheng Ji National Institute of Informatics
Stefan Emeis
Stefan Emeis Karlsruhe Institute of Technology
Ulrich W. Ebner-Priemer
Ulrich W. Ebner-Priemer Karlsruhe Institute of Technology
Klaus Schäfer
Klaus Schäfer Karlsruhe Institute of Technology
Josef Cyrys
Josef Cyrys Helmholtz Zentrum München
Florian Michahelles
Florian Michahelles Siemens (Germany)
Gerd Kortuem
Gerd Kortuem Delft University of Technology

External Links

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science in the USA opens doors to diverse, flexible pathways—especially with the rise of accredited online programs. Today’s popular online colleges offer a range of tech-focused degrees that cater to both entry-level students and seasoned professionals seeking advanced knowledge.

If you’re passionate about gaming, you might consider enrolling in an online video game design degree to gain vital skills in graphics, programming, and interactive storytelling. Cybersecurity remains another highly sought-after field. Earning a master's degree in cybersecurity online can prepare you for careers in information security, risk management, and ethical hacking.

Even non-traditional pathways intersect with computer science—such as building tech-driven infrastructure through construction management courses. By choosing an online degree aligned with your interests, you can develop marketable skills and adapt to the evolving demands of the digital workforce.

Best Scientists Citing Michael Beigl

Trending Scientists

Recently Published Articles