World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
7327
World Ranking
8397
National Ranking
410

Bjoern M. Eskofier 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 Bjoern M. Eskofier 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: 225 publications — 55th percentile

55% of scientists in this discipline score the same or lower.

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

Bjoern M. Eskofier 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 Bjoern M. Eskofier 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: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2020 - ACM Senior Member

Overview

Bjoern M. Eskofier is affiliated with the University of Erlangen-Nuremberg in Germany. Their research primarily focuses on the field of medicine, with a distinct concentration on biomedical engineering, artificial intelligence, computer vision and pattern recognition, physical therapy, sports therapy and rehabilitation, and cognitive neuroscience.

Their work covers several key topics, including:

  • Balance, Gait, and Falls Prevention
  • Cerebral Palsy and Movement Disorders
  • Muscle activation and electromyography studies
  • EEG and Brain-Computer Interfaces
  • Non-Invasive Vital Sign Monitoring
  • Parkinson's Disease Mechanisms and Treatments
  • Gait Recognition and Analysis

Eskofier has contributed frequently to a variety of publication venues. The most common platforms for their work include:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Sensors
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Psychoneuroendocrinology

Among their recent papers are the following:

  • "Federated Learning for Healthcare: Systematic Review and Architecture Proposal," 2022, ACM Transactions on Intelligent Systems and Technology
  • "Advancing digital health applications: priorities for innovation in real-world evidence generation," 2022, The Lancet Digital Health
  • "CNN-Based Estimation of Sagittal Plane Walking and Running Biomechanics From Measured and Simulated Inertial Sensor Data," 2020, Frontiers in Bioengineering and Biotechnology
  • "Technical validation of real-world monitoring of gait: a multicentric observational study," 2021, BMJ Open
  • "Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium," 2023, Journal of NeuroEngineering and Rehabilitation

Their frequent co-authors include:

  • Arne Küderle
  • Felix Kluge
  • Dario Zanca
  • Robert Richer
  • Jochen Klucken

Bjoern M. Eskofier was awarded the title of ACM Senior Member in 2020.

Best Publications

  • Technology in Parkinson's disease: Challenges and opportunities.

    Alberto J. Espay;Paolo Bonato;Fatta B. Nahab;Walter Maetzler

  • An Emerging Era in the Management of Parkinson's Disease: Wearable Technologies and the Internet of Things

    Cristian F. Pasluosta;Heiko Gassner;Juergen Winkler;Jochen Klucken

  • Wearable sensors objectively measure gait parameters in Parkinson's disease.

    Johannes C. M. Schlachetzki;Jens Barth;Franz Marxreiter;Julia Gossler

  • Revisiting QRS detection methodologies for portable, wearable, battery-operated, and wireless ECG systems.

    Mohamed Elgendi;Björn Eskofier;Socrates Dokos;Derek Abbott

  • Hierarchical, Multi-Sensor Based Classification of Daily Life Activities: Comparison with State-of-the-Art Algorithms Using a Benchmark Dataset

    Heike Leutheuser;Dominik Schuldhaus;Bjoern M. Eskofier

  • Real-time ECG monitoring and arrhythmia detection using Android-based mobile devices

    Stefan Gradl;Patrick Kugler;Clemens Lohmuller;Bjoern Eskofier

  • Sensor-Based Gait Parameter Extraction With Deep Convolutional Neural Networks.

    Julius Hannink;Thomas Kautz;Cristian F. Pasluosta;Karl-Gunter Gasmann

  • Recent machine learning advancements in sensor-based mobility analysis: Deep learning for Parkinson's disease assessment

    Bjoern M. Eskofier;Sunghoon I. Lee;Jean-Francois Daneault;Fatemeh N. Golabchi

  • Activity recognition in beach volleyball using a Deep Convolutional Neural Network

    Thomas Kautz;Benjamin H. Groh;Julius Hannink;Ulf Jensen

  • An Overview of Smart Shoes in the Internet of Health Things: Gait and Mobility Assessment in Health Promotion and Disease Monitoring

    Bjoern M. Eskofier;Sunghoon Ivan Lee;Manuela Baron;André Simon

  • Estimation of gait kinematics and kinetics from inertial sensor data using optimal control of musculoskeletal models

    Eva Dorschky;Marlies Nitschke;Ann-Kristin Seifer;Antonie J. van den Bogert

  • CNN-Based Estimation of Sagittal Plane Walking and Running Biomechanics From Measured and Simulated Inertial Sensor Data.

    Eva Dorschky;Marlies Nitschke;Christine F. Martindale;Antonie J. van den Bogert

  • Mobile Stride Length Estimation With Deep Convolutional Neural Networks

    Julius Hannink;Thomas Kautz;Cristian F. Pasluosta;Jens Barth

  • An approximation of the Gaussian RBF kernel for efficient classification with SVMs

    Matthias Ring;Bjoern M. Eskofier

  • Temporal Trajectory Aware Video Quality Measure

    M. Barkowsky;J. Bialkowski;B. Eskofier;R. Bitto

  • Sensor-based stroke detection and stroke type classification in table tennis

    Peter Blank;Julian Hoßbach;Dominik Schuldhaus;Bjoern M. Eskofier

  • Support vector machines for detecting age-related changes in running kinematics $

    Reginaldo K. Fukuchi;Bjoern M. Eskofier;Marcos Duarte;Reed Ferber

  • Promoting relaxation using virtual reality, olfactory interfaces and wearable EEG

    Judith Amores;Robert Richer;Nan Zhao;Pattie Maes

  • Pattern classification of kinematic and kinetic running data to distinguish gender, shod/barefoot and injury groups with feature ranking

    Bjoern M. Eskofier;Martin Kraus;Jay T. Worobets;Darren J. Stefanyshyn

  • Generic performance measure for multiclass-classifiers

    Thomas Kautz;Bjoern M. Eskofier;Cristian F. Pasluosta

  • Promoting relaxation using virtual reality, olfactory interfaces and wearable EEG

    Judith Amores Fernandez;Robert Richer;Nan Zhao;Patricia Maes

Frequent Co-Authors

Jürgen Winkler
Jürgen Winkler University of Erlangen-Nuremberg
Andreas Maier
Andreas Maier University of Erlangen-Nuremberg
Garry E. Gold
Garry E. Gold Stanford University
Olaf Riess
Olaf Riess University of Tübingen
Joachim Hornegger
Joachim Hornegger University of Erlangen-Nuremberg
Martin Burger
Martin Burger University of Erlangen-Nuremberg
Nicolas Rohleder
Nicolas Rohleder University of Erlangen-Nuremberg
Ralf Reilmann
Ralf Reilmann University of Tübingen
Antonie J. van den Bogert
Antonie J. van den Bogert Cleveland State University
Derek Abbott
Derek Abbott University of Adelaide

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