World's Best Scientists 2026 revealed!
Jim Torresen

Jim Torresen

D-Index & Metrics

Computer Science

D-Index
37
Citations
5785
World Ranking
10760
National Ranking
35

Jim Torresen 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 Jim Torresen 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: 316 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Jim Torresen 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 Jim Torresen 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Jim Torresen is affiliated with the University of Oslo in Norway and is active in the fields of engineering and computer science. Their research contributions span multiple subfields, including computer vision and pattern recognition, artificial intelligence, cognitive neuroscience, biomedical engineering, and experimental and cognitive psychology.

The scientist's recent publications reflect a focus on robotics, machine learning applications in healthcare, and human activity recognition. Notable papers include:

  • "Real-world embodied AI through a morphologically adaptive quadruped robot", 2021, Nature Machine Intelligence
  • "Applying machine learning in motor activity time series of depressed bipolar and unipolar patients compared to healthy controls", 2020, PLoS ONE
  • "Human Activity Recognition from Multiple Sensors Data Using Multi-fusion Representations and CNNs", 2020, ACM Transactions on Multimedia Computing Communications and Applications
  • "On Assessing Trustworthy AI in Healthcare. Machine Learning as a Supportive Tool to Recognize Cardiac Arrest in Emergency Calls", 2021, Frontiers in Human Dynamics
  • "Ultra-Wideband Radar-Based Activity Recognition Using Deep Learning", 2021, IEEE Access

Torresen's research topics cover a variety of areas, including:

  • Mental health research topics
  • Bipolar disorder and treatment
  • Music technology and sound studies
  • Human motion and animation
  • Reinforcement learning in robotics
  • Social robot interaction and human-robot interaction (HRI)
  • Human pose and action recognition

Frequent co-authors in Torresen's work are:

  • Charles Martín
  • Tine Nordgreen
  • Petter Jakobsen
  • Ulysse Côté-Allard
  • Ole Bernt Fasmer

Torresen has published extensively across various scientific venues, including:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Zenodo (CERN European Organization for Nuclear Research)
  • PLoS ONE
  • Frontiers in Robotics and AI

Best Publications

  • Mental health monitoring with multimodal sensing and machine learning: A survey

    Enrique Garcia-Ceja;Michael Riegler;Tine Nordgreen;Tine Nordgreen;Petter Jakobsen;Petter Jakobsen

  • FPGASort: a high performance sorting architecture exploiting run-time reconfiguration on fpgas for large problem sorting

    Dirk Koch;Jim Torresen

  • A Review of Future and Ethical Perspectives of Robotics and AI

    Jim Torresen

  • Go Ahead: A Partial Reconfiguration Framework

    Christian Beckhoff;Dirk Koch;Jim Torresen

  • Ambient Sensors for Elderly Care and Independent Living: A Survey.

    Md. Zia Uddin;Weria Khaksar;Jim Torresen

  • A Divide-and-Conquer Approach to Evolvable Hardware

    Jim Torresen

  • Efficient recognition of speed limit signs

    J. Torresen;J.W. Bakke;L. Sekanina

  • A Survey of Self-Awareness and Its Application in Computing Systems

    Peter R. Lewis;Arjun Chandra;Shaun Parsons;Edward Robinson

  • The Xilinx Design Language (XDL): Tutorial and use cases

    Christian Beckhoff;Dirk Koch;Jim Torresen

  • Adaptive variable neighborhood search for solving multi-objective facility layout problems with unequal area facilities

    Kazi Shah Nawaz Ripon;Kyrre Glette;Kashif Nizam Khan;Mats Hovin

  • A facial expression recognition system using robust face features from depth videos and deep learning

    Md. Zia Uddin;Mohammed Mehedi Hassan;Ahmad Almogren;Mansour Zuair

  • Depresjon: a motor activity database of depression episodes in unipolar and bipolar patients

    Enrique Garcia-Ceja;Michael Riegler;Petter Jakobsen;Jim Tørresen

  • Facial Expression Recognition Using Salient Features and Convolutional Neural Network

    Md. Zia Uddin;Weria Khaksar;Jim Torresen

  • Self-aware Computing Systems: An Engineering Approach

    Peter R. Lewis;Marco Platzner;Bernhard Rinner;Jim Trresen

  • High Speed Partial Run-Time Reconfiguration Using Enhanced ICAP Hard Macro

    Simen Gimle Hansen;Dirk Koch;Jim Torresen

  • Real-world embodied AI through a morphologically adaptive quadruped robot

    Tønnes Nygaard;Tønnes Nygaard;Charles Patrick Martin;Jim Torresen;Kyrre Glette

  • Architectural Aspects of Self-Aware and Self-Expressive Computing Systems: From Psychology to Engineering

    Peter R. Lewis;Arjun Chandra;Funmilade Faniyi;Kyrre Glette

  • A Scalable Approach to Evolvable Hardware

    Jim Torresen

  • Applying machine learning in motor activity time series of depressed bipolar and unipolar patients compared to healthy controls

    Petter Jakobsen;Petter Jakobsen;Enrique Garcia-Ceja;Michael Riegler;Lena Antonsen Stabell;Lena Antonsen Stabell

  • A flexible on-chip evolution system implemented on a xilinx Virtex-II pro device

    Kyrre Glette;Jim Torresen

  • An Evolvable Hardware Tutorial

    Jim Torresen

  • An Online EHW Pattern Recognition System Applied to Face Image Recognition

    Kyrre Glette;Jim Torresen;Moritoshi Yasunaga

  • Evolving multiplier circuits by training set and training vector partitioning

    Jim Torresen

Frequent Co-Authors

Dirk Koch
Dirk Koch University of Manchester
Michael Riegler
Michael Riegler OsloMet – Oslo Metropolitan University
Ole Bernt Fasmer
Ole Bernt Fasmer University of Bergen
Lukas Sekanina
Lukas Sekanina Brno University of Technology
Marco Platzner
Marco Platzner University of Paderborn
Xin Yao
Xin Yao Lingnan University
Magnar Bjørås
Magnar Bjørås Norwegian University of Science and Technology
Sarthak Misra
Sarthak Misra University of Groningen
Okyay Kaynak
Okyay Kaynak Boğaziçi University

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