World's Best Scientists 2026 revealed!
Award Badge
Computer Science
Germany
2025

D-Index & Metrics

Computer Science

D-Index
75
Citations
31042
World Ranking
1383
National Ranking
55

Benjamin Blankertz 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 Benjamin Blankertz 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 227 publications — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Benjamin Blankertz 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 Benjamin Blankertz sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 75 D-Index — 90th percentile

90% 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

  • 2025 - Research.com Computer Science in Germany Leader Award
  • 2023 - Research.com Computer Science in Germany Leader Award
  • 2022 - Research.com Computer Science in Germany Leader Award

Overview

Benjamin Blankertz is affiliated with the Technical University of Berlin in Germany. Their research spans multiple areas within neuroscience and medicine, focusing extensively on brain-computer interfaces and neural engineering.

Their notable recent publications include the following:

  • Electrocorticography is superior to subthalamic local field potentials for movement decoding in Parkinson's disease, 2022, eLife
  • Machine-learning model predicting postoperative delirium in older patients using intraoperative frontal electroencephalographic signatures, 2022, Frontiers in Aging Neuroscience
  • Desflurane is risk factor for postoperative delirium in older patients' independent from intraoperative burst suppression duration, 2023, Frontiers in Aging Neuroscience
  • Roadmap, 2020, Data Archiving and Networked Services (DANS)
  • Motor Imagery Under Distraction- An Open Access BCI Dataset, 2020, Frontiers in Neuroscience

The frequent co-authors who have collaborated with Benjamin Blankertz include:

  • Wolf-Julian Neumann
  • Timon Merk
  • Victoria Peterson
  • Witold Lipski
  • Ningfei Li

Their work has appeared in several publication venues, with multiple contributions to:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Frontiers in Aging Neuroscience
  • Imaging Neuroscience
  • eLife
  • Frontiers in Neuroscience

Benjamin Blankertz's main fields of study are:

  • Neuroscience
  • Medicine

Within these fields, their subfields of study specialize in:

  • Cognitive Neuroscience
  • Cellular and Molecular Neuroscience
  • Neurology
  • Electrical and Electronic Engineering
  • Critical Care and Intensive Care Medicine

The primary topics of their research activities cover:

  • EEG and Brain-Computer Interfaces
  • Neuroscience and Neural Engineering
  • Neurological disorders and treatments
  • Advanced Memory and Neural Computing
  • Intensive Care Unit Cognitive Disorders
  • Anesthesia and Sedative Agents
  • Neural and Behavioral Psychology Studies

Best Publications

  • Optimizing Spatial filters for Robust EEG Single-Trial Analysis

    B. Blankertz;R. Tomioka;S. Lemm;M. Kawanabe

  • On the interpretation of weight vectors of linear models in multivariate neuroimaging.

    Stefan Haufe;Frank C. Meinecke;Kai Görgen;Sven Dähne

  • Single-Trial Analysis and Classification of ERP Components - a Tutorial

    Benjamin Blankertz;Steven Lemm;Matthias Sebastian Treder;Stefan Haufe

  • Review of the BCI Competition IV

    Michael Tangermann;Klaus Robert Müller;Ad Aertsen;Niels Birbaumer

  • The non-invasive Berlin Brain-Computer Interface: fast acquisition of effective performance in untrained subjects.

    Benjamin Blankertz;Guido Dornhege;Matthias Krauledat;Klaus Robert Müller

  • The BCI competition III: validating alternative approaches to actual BCI problems

    B. Blankertz;K.-R. Muller;D.J. Krusienski;G. Schalk

  • The BCI competition 2003: progress and perspectives in detection and discrimination of EEG single trials

    B. Blankertz;K.-R. Muller;G. Curio;T.M. Vaughan

  • Neurophysiological Predictor of SMR-based BCI Performance

    Benjamin Blankertz;Claudia Sannelli;Sebastian Halder;Eva M. Hammer

  • Introduction to machine learning for brain imaging.

    Steven Lemm;Benjamin Blankertz;Thorsten Dickhaus;Klaus Robert Müller

  • Spatio-spectral filters for improving the classification of single trial EEG

    S. Lemm;B. Blankertz;G. Curio;K.-R. Muller

  • Boosting bit rates in noninvasive EEG single-trial classifications by feature combination and multiclass paradigms

    G. Dornhege;B. Blankertz;G. Curio;K.-R. Muller;K.-R. Muller

  • Enhanced performance by a hybrid NIRS–EEG brain computer interface

    Siamac Fazli;Jan Mehnert;Jan Mehnert;Jens Steinbrink;Gabriel Curio

  • Classifying Single Trial EEG: Towards Brain Computer Interfacing

    Benjamin Blankertz;Gabriel Curio;Klaus-Robert Müller

  • Towards adaptive classification for BCI.

    Pradeep Shenoy;Matthias Krauledat;Benjamin Blankertz;Rajesh P.N. Rao

  • Machine learning for real-time single-trial EEG-analysis: from brain-computer interfacing to mental state monitoring.

    Klaus Robert Müller;Michael Tangermann;Guido Dornhege;Matthias Krauledat

  • Towards a Cure for BCI Illiteracy

    Carmen Vidaurre;Benjamin Blankertz

  • Combined Optimization of Spatial and Temporal Filters for Improving Brain-Computer Interfacing

    G. Dornhege;B. Blankertz;M. Krauledat;M. Krauledat;F. Losch

  • The Berlin brain-computer interface: EEG-based communication without subject training

    B. Blankertz;G. Dornhege;M. Krauledat;K.-R. Muller

  • The Berlin Brain–Computer Interface: Non-Medical Uses of BCI Technology

    Benjamin Blankertz;Benjamin Blankertz;Michael Tangermann;Carmen Vidaurre;Siamac Fazli

  • (C)overt attention and visual speller design in an ERP-based brain-computer interface.

    Matthias S Treder;Benjamin Blankertz

Frequent Co-Authors

Klaus-Robert Müller
Klaus-Robert Müller Technical University of Berlin
Gabriel Curio
Gabriel Curio Charité - University Medicine Berlin
Carmen Vidaurre
Carmen Vidaurre Technical University of Berlin
Andrea Kübler
Andrea Kübler University of Würzburg
Niels Birbaumer
Niels Birbaumer University of Tübingen
Klaus Obermayer
Klaus Obermayer Technical University of Berlin
Clemens Brunner
Clemens Brunner University of Graz
Giulio Jacucci
Giulio Jacucci University of Helsinki
Gerwin Schalk
Gerwin Schalk Sichuan University
John-Dylan Haynes
John-Dylan Haynes Charité - University Medicine Berlin

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

Studying Computer Science in the USA opens doors to a variety of related degree options and flexible career pathways. Prospective students can benefit from considering some of the best college majors for the future, as many tech-driven industries continue to seek professionals with strong analytical and technical skills.

For those looking to advance their education with less time and effort, exploring the easiest online masters degree options may be worthwhile. These programs can help you upskill quickly while managing work or personal commitments.

Doctorate programs are also increasingly accessible. If cost is a concern, you may want to look into the most affordable doctoral programs available for distance learners. Fast-track options exist as well, such as online edd programs affordable, which can help you reach higher academic or leadership goals efficiently.

With the growth of online education, it's easier than ever before to find a program that fits your interests, budget, and schedule while leading to promising tech careers.

Best Scientists Citing Benjamin Blankertz

Trending Scientists

Recently Published Articles