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Bernhard Graimann publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Bernhard Graimann sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

The last bar groups every scientist with 804 publications or more.

Bernhard Graimann D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Bernhard Graimann sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

The last bar groups every scientist with 107 D-Index or more.

Overview

Bernhard Graimann is a researcher affiliated with Graz University of Technology in Austria. The work contributed by Graimann spans multiple fields of study, primarily focusing on Engineering and Neuroscience.

The scientist's research is situated at the intersection of several subfields, notably Biomedical Engineering and Cellular and Molecular Neuroscience. These specialties underline an emphasis on the integration of engineering principles with biological systems, aiming at enhancements in neural and muscular function understanding.

Main topics in Graimann's research portfolio include:

  • Muscle activation and electromyography studies
  • Neuroscience and Neural Engineering
  • Advanced Sensor and Energy Harvesting Materials

These topics suggest a focus on both the functional mechanisms of muscles through electrical signal analysis and the development of advanced materials and sensor technologies relevant to neural engineering applications.

Among recent publications, one paper stands out: "Toward higher-performance bionic limbs for wider clinical use," published in 2021 in Nature Biomedical Engineering. This paper has received notable academic attention, as reflected in its citation count.

Frequent co-authors collaborating with Bernhard Graimann include:

  • Dario Farina
  • Ivan Vujaklija
  • Rickard Brånemark
  • Anthony M. J. Bull
  • Hans Dietl

This network reflects interdisciplinary collaboration, potentially spanning clinical, engineering, and neuroscientific expertise.

Publication venues associated with Graimann predominantly feature Nature Biomedical Engineering. This venue aligns with the scientist's research focus on biomedical engineering advancements.

Best Publications

  • The Extraction of Neural Information from the Surface EMG for the Control of Upper-Limb Prostheses: Emerging Avenues and Challenges

    Dario Farina;Ning Jiang;Hubertus Rehbaum;Ales Holobar

  • Spatiotemporal patterns of beta desynchronization and gamma synchronization in corticographic data during self-paced movement

    G. Pfurtscheller;B. Graimann;J.E. Huggins;S.P. Levine

  • An asynchronously controlled EEG-based virtual keyboard: improvement of the spelling rate

    R. Scherer;G.R. Muller;C. Neuper;B. Graimann

  • Graz-BCI: state of the art and clinical applications

    G. Pfurtscheller;C. Neuper;G.R. Muller;B. Obermaier

  • Brain-Computer Interfaces: Revolutionizing Human-Computer Interaction

    Bernhard Graimann;Brendan Z. Allison;Gert Pfurtscheller

  • Brain-Computer Interfacing for Intelligent Systems

    A. Nijholt;D. Tan

  • Continuous EEG classification during motor imagery-simulation of an asynchronous BCI

    G. Townsend;B. Graimann;G. Pfurtscheller

  • Seperability of four-class motor imagery data using independent components analysis

    Muhammad Naeem;Clemens Brunner;Robert Leeb;Bernhard Graimann

  • Brain-Computer Interfaces: A Gentle Introduction

    Bernhard Graimann;Brendan Allison;Gert Pfurtscheller

  • Intuitive, Online, Simultaneous, and Proportional Myoelectric Control Over Two Degrees-of-Freedom in Upper Limb Amputees

    Ning Jiang;Hubertus Rehbaum;Ivan Vujaklija;Bernhard Graimann

  • Is Accurate Mapping of EMG Signals on Kinematics Needed for Precise Online Myoelectric Control

    Ning Jiang;Ivan Vujaklija;Hubertus Rehbaum;Bernhard Graimann

  • Brain-Computer Interfaces

    Bernhard Graimann;Gert Pfurtscheller;Brendan Allison

  • Toward higher-performance bionic limbs for wider clinical use

    Dario Farina;Ivan Vujaklija;Rickard Brånemark;Rickard Brånemark;Anthony M J Bull

  • Spatial filtering and selection of optimized components in four class motor imagery EEG data using independent components analysis

    Clemens Brunner;Muhammad Naeem;Robert Leeb;Bernhard Graimann

  • Event-related beta EEG-changes during passive and attempted foot movements in paraplegic patients

    Gernot R. Müller-Putz;Doris Zimmermann;Bernhard Graimann;Kurt Nestinger

  • Self-Correcting Pattern Recognition System of Surface EMG Signals for Upper Limb Prosthesis Control

    Sebastian Amsuss;Peter M. Goebel;Ning Jiang;Bernhard Graimann

  • 15 years of BCI research at graz university of technology: current projects

    G. Pfurtscheller;G.R. Muller-Putz;A. Schlogl;B. Graimann

  • Online Control of a Brain-Computer Interface Using Phase Synchronization

    C. Brunner;R. Scherer;B. Graimann;G. Supp

  • Toward a direct brain interface based on human subdural recordings and wavelet-packet analysis

    B. Graimann;J.E. Huggins;S.P. Levine;G. Pfurtscheller

  • Quantification and visualization of event-related changes in oscillatory brain activity in the time–frequency domain

    Bernhard Graimann;Gert Pfurtscheller

Frequent Co-Authors

Gert Pfurtscheller
Gert Pfurtscheller Graz University of Technology
Dario Farina
Dario Farina Imperial College London
Strahinja Dosen
Strahinja Dosen Aalborg University
Ning Jiang
Ning Jiang University of Waterloo
Gernot R. Müller-Putz
Gernot R. Müller-Putz Graz University of Technology
Christa Neuper
Christa Neuper University of Graz
Dejan B. Popovic
Dejan B. Popovic Serbian Academy of Sciences and Arts
Dustin J. Tyler
Dustin J. Tyler Case Western Reserve University
Todd A. Kuiken
Todd A. Kuiken Northwestern University
Silvestro Micera
Silvestro Micera Sant'Anna School of Advanced Studies

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