World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
8533
World Ranking
6855
National Ranking
330

Oliver Amft 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 Oliver Amft 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: 217 publications — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

Oliver Amft 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 Oliver Amft 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: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Overview

Oliver Amft is affiliated with the University of Erlangen-Nuremberg in Germany. Their research spans the fields of Computer Science and Medicine, with a focus on subfields such as Biomedical Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Clinical Psychology, and General Health Professions.

Their scientific contributions include work related to several key topics, including:

  • Context-Aware Activity Recognition Systems
  • Eating Disorders and Behaviors
  • Balance, Gait, and Falls Prevention
  • Mobile Health and mHealth Applications
  • Muscle Activation and Electromyography Studies
  • Music and Audio Processing
  • Phonocardiography and Auscultation Techniques

Oliver Amft has published papers in frequent venues such as:

  • IEEE Pervasive Computing
  • Sensors
  • International Journal of Computer Assisted Radiology and Surgery
  • Journal of Magnetic Resonance Imaging
  • Scientific Reports

Some recent peer-reviewed papers authored or coauthored by Oliver Amft include:

  • "Mobile Health Usage, Preferences, Barriers, and eHealth Literacy in Rheumatology: Patient Survey Study," 2020, JMIR mhealth and uhealth
  • "Privacy Risk Awareness in Wearables and the Internet of Things," 2020, IEEE Pervasive Computing
  • "Wearables to Fight COVID-19: From Symptom Tracking to Contact Tracing," 2020, IEEE Pervasive Computing
  • "Co-simulation of human digital twins and wearable inertial sensors to analyse gait event estimation," 2023, Frontiers in Bioengineering and Biotechnology
  • "Estimating wearable motion sensor performance from personal biomechanical models and sensor data synthesis," 2020, Scientific Reports

Frequent coauthors collaborating with Oliver Amft include:

  • Adrian Derungs
  • Luis I. Lopera González
  • Lena Uhlenberg
  • Annalisa Baronetto
  • Valeska Stonawski

Best Publications

  • Best practice for motor imagery: a systematic literature review on motor imagery training elements in five different disciplines

    Corina Schuster;Roger Hilfiker;Oliver Amft;Anne Scheidhauer

  • Gesture spotting with body-worn inertial sensors to detect user activities

    Holger Junker;Oliver Amft;Paul Lukowicz;Gerhard Tröster

  • Advanced internet of things for personalised healthcare systems

    Jun Qi;Po Yang;Geyong Min;Oliver Amft

  • Recognition of dietary activity events using on-body sensors

    Oliver Amft;Gerhard Tröster

  • Analysis of chewing sounds for dietary monitoring

    Oliver Amft;Mathias Stäger;Paul Lukowicz;Gerhard Tröster

  • Recognizing Upper Body Postures using Textile Strain Sensors

    C. Mattmann;O. Amft;H. Harms;G. Troster

  • Detection of eating and drinking arm gestures using inertial body-worn sensors

    O. Amft;H. Junker;G. Troster

  • On-Body Sensing Solutions for Automatic Dietary Monitoring

    O. Amft;G. Troster

  • Active capacitive sensing: exploring a new wearable sensing modality for activity recognition

    Jingyuan Cheng;Oliver Amft;Paul Lukowicz

  • Mobile Health Usage, Preferences, Barriers, and eHealth Literacy in Rheumatology: Patient Survey Study.

    Johannes Knitza;David Simon;Antonia Lambrecht;Christina Raab

  • A benchmark dataset to evaluate sensor displacement in activity recognition

    Oresti Baños;Miguel Damas;Héctor Pomares;Ignacio Rojas

  • Rapid Prototyping of Activity Recognition Applications

    D. Bannach;P. Lukowicz;O. Amft

  • A Distributed PIR-based Approach for Estimating People Count in Office Environments

    F. Wahl;M. Milenkovic;O. Amft

  • Estimating Energy Expenditure Using Body-Worn Accelerometers: A Comparison of Methods, Sensors Number and Positioning

    Marco Altini;Julien Penders;Ruud Vullers;Oliver Amft

  • Monitoring Chewing and Eating in Free-Living Using Smart Eyeglasses

    Rui Zhang;Oliver Amft

  • Bite Weight Prediction From Acoustic Recognition of Chewing

    O. Amft;M. Kusserow;G. Troster

  • Effect of 'activity monitor-based' counseling on physical activity and health-related outcomes in patients with chronic diseases: A systematic review and meta-analysis.

    Anouk W. Vaes;Amy Cheung;Maryam Atakhorrami;Miriam T. J. Groenen

  • A wearable earpad sensor for chewing monitoring

    Oliver Amft

  • From Backpacks to Smartphones: Past, Present, and Future of Wearable Computers

    O. Amft;P. Lukowicz

  • Sensing muscle activities with body-worn sensors

    O. Amft;H. Junker;P. Lukowicz;G. Troster

Frequent Co-Authors

Paul Lukowicz
Paul Lukowicz German Research Centre for Artificial Intelligence
Kai Kunze
Kai Kunze Keio University
Martijn A. Spruit
Martijn A. Spruit Maastricht University
Emiel F.M. Wouters
Emiel F.M. Wouters Maastricht University
Kristof Van Laerhoven
Kristof Van Laerhoven University of Siegen
Stefan Schneegass
Stefan Schneegass University of Duisburg-Essen
Daniel Roggen
Daniel Roggen University of Sussex
Hauke Harms
Hauke Harms Helmholtz Centre for Environmental Research

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