World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
11178
World Ranking
7080
National Ranking
342

Enkelejda Kasneci 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 Enkelejda Kasneci 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: 282 publications — 70th percentile

70% of scientists in this discipline score the same or lower.

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

Enkelejda Kasneci 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 Enkelejda Kasneci 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: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Overview

Enkelejda Kasneci is affiliated with the Technical University of Munich in Germany. Their research primarily spans the field of Computer Science, with a focus on several subfields including Human-Computer Interaction, Artificial Intelligence, Computer Vision and Pattern Recognition, Cognitive Neuroscience, and Radiology, Nuclear Medicine and Imaging.

The scientist's main research topics include Gaze Tracking and Assistive Technology, Virtual Reality Applications and Impacts, Online Learning and Analytics, Visual Attention and Saliency Detection, Retinal Imaging and Analysis, Explainable Artificial Intelligence (XAI), and Radiology practices and education.

Kasneci has contributed extensively to academic literature, with recent papers including:

  • ChatGPT for good? On opportunities and challenges of large language models for education (2023), published in Learning and Individual Differences
  • RETRACTED ARTICLE: Eye tracking: empirical foundations for a minimal reporting guideline (2022), published in Behavior Research Methods
  • The impact of slippage on the data quality of head-worn eye trackers (2020), published in Behavior Research Methods
  • Towards Human-Centered Explainable AI: A Survey of User Studies for Model Explanations (2023), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • The display makes a difference: A mobile eye tracking study on the perception of art before and after a museum's rearrangement (2020), published in Journal of Eye Movement Research

Frequent coauthors in Kasneci's research include:

  • Efe Bozkir
  • Gjergji Kasneci
  • Wolfgang Fuhl
  • Yao Rong
  • Ulrich Trautwein

Kasneci's work has appeared regularly in various scientific venues, with multiple publications in:

  • arXiv (Cornell University)
  • ACM Symposium on Eye Tracking Research and Applications
  • Proceedings of the ACM on Human-Computer Interaction
  • Behavior Research Methods
  • PLoS ONE

Best Publications

  • ChatGPT for good? On opportunities and challenges of large language models for education

    Unknown

  • ChatGPT for Good? On Opportunities and Challenges of Large Language Models for Education

    Unknown

  • ExCuSe: Robust Pupil Detection in Real-World Scenarios

    Wolfgang Fuhl;Thomas C. Kübler;Katrin Sippel;Wolfgang Rosenstiel

  • Attentive or Not? Toward a Machine Learning Approach to Assessing Students’ Visible Engagement in Classroom Instruction

    Patricia Goldberg;Ömer Sümer;Kathleen Stürmer;Wolfgang Wagner

  • ElSe: ellipse selection for robust pupil detection in real-world environments

    Wolfgang Fuhl;Thiago C. Santini;Thomas Kübler;Enkelejda Kasneci

  • Pupil detection for head-mounted eye tracking in the wild: an evaluation of the state of the art

    Wolfgang Fuhl;Marc Tonsen;Andreas Bulling;Enkelejda Kasneci

  • Driving with binocular visual field loss? A study on a supervised on-road parcours with simultaneous eye and head tracking

    Enkelejda Kasneci;Katrin Sippel;Kathrin Aehling;Martin Heister

  • PupilNet: Convolutional Neural Networks for Robust Pupil Detection.

    Wolfgang Fuhl;Thiago Santini;Gjergji Kasneci;Enkelejda Kasneci

  • The impact of slippage on the data quality of head-worn eye trackers

    Diederick C. Niehorster;Thiago Santini;Roy S. Hessels;Ignace T. C. Hooge

  • PuRe: Robust pupil detection for real-time pervasive eye tracking

    Thiago Santini;Wolfgang Fuhl;Enkelejda Kasneci

  • Driver-Activity Recognition in the Context of Conditionally Autonomous Driving

    Christian Braunagel;Enkelejda Kasneci;Wolfgang Stolzmann;Wolfgang Rosenstiel

  • Bayesian identification of fixations, saccades, and smooth pursuits

    Thiago Santini;Wolfgang Fuhl;Thomas Kübler;Enkelejda Kasneci

  • Bayesian online clustering of eye movement data

    Enkelejda Tafaj;Gjergji Kasneci;Wolfgang Rosenstiel;Martin Bogdan

  • Eye-Hand Behavior in Human-Robot Shared Manipulation

    Reuben M. Aronson;Thiago Santini;Thomas C. Kubler;Enkelejda Kasneci

  • Ready for Take-Over? A New Driver Assistance System for an Automated Classification of Driver Take-Over Readiness

    Christian Braunagel;Wolfgang Rosenstiel;Enkelejda Kasneci

  • Driving with Glaucoma: Task Performance and Gaze Movements.

    Thomas C. Kübler;Enkelejda Kasneci;Wolfgang Rosenstiel;Martin Heister

  • CalibMe: Fast and Unsupervised Eye Tracker Calibration for Gaze-Based Pervasive Human-Computer Interaction

    Thiago Santini;Wolfgang Fuhl;Enkelejda Kasneci

  • TEyeD: Over 20 Million Real-World Eye Images with Pupil, Eyelid, and Iris 2D and 3D Segmentations, 2D and 3D Landmarks, 3D Eyeball, Gaze Vector, and Eye Movement Types

    Wolfgang Fuhl;Gjergji Kasneci;Enkelejda Kasneci

  • Binocular Glaucomatous Visual Field Loss and Its Impact on Visual Exploration - A Supermarket Study

    Katrin Sippel;Enkelejda Kasneci;Kathrin Aehling;Martin Heister

  • Digital Transformations of Classrooms in Virtual Reality

    Hong Gao;Efe Bozkir;Lisa Hasenbein;Jens-Uwe Hahn

  • Fast and Robust Eyelid Outline and Aperture Detection in Real-World Scenarios

    Wolfgang Fuhl;Thiago Santini;Enkelejda Kasneci

  • Tiny convolution, decision tree, and binary neuronal networks for robust and real time pupil outline estimation

    Wolfgang Fuhl;Hong Gao;Enkelejda Kasneci

  • Multimodal Engagement Analysis from Facial Videos in the Classroom

    Ömer Sümer;Patricia Goldberg;Sidney D'Mello;Peter Gerjets

  • The Display Makes a Difference: A Mobile Eye Tracking Study on the Perception of Art Before and After a Museum's Rearrangement.

    Luise Reitstätter;Hanna Brinkmann;Thiago Santini;Eva Specker

  • SubsMatch 2.0: Scanpath comparison and classification based on subsequence frequencies

    Thomas C. Kübler;Colleen Rothe;Ulrich Schiefer;Wolfgang Rosenstiel

  • Deep semantic gaze embedding and scanpath comparison for expertise classification during OPT viewing

    Nora Castner;Thomas Kübler;Katharina Scheiter;Juilane Richter

Frequent Co-Authors

Wolfgang Rosenstiel
Wolfgang Rosenstiel University of Tübingen
Katharina Scheiter
Katharina Scheiter University of Potsdam
Ulrich Trautwein
Ulrich Trautwein University of Tübingen
Peter Gerjets
Peter Gerjets University of Tübingen
Andrew T. Duchowski
Andrew T. Duchowski Clemson University
Zeynep Akata
Zeynep Akata University of Tübingen
Peter Haddawy
Peter Haddawy Mahidol University
Sonja Utz
Sonja Utz Leibniz-Institut für Wissensmedien
Sidney K. D'Mello
Sidney K. D'Mello University of Colorado Boulder
Ignace T. C. Hooge
Ignace T. C. Hooge Utrecht University

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