World's Best Scientists 2026 revealed!
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Computer Science
Japan
2025

D-Index & Metrics

Computer Science

D-Index
50
Citations
8116
World Ranking
5697
National Ranking
74

Helmut Prendinger 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 Helmut Prendinger 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: 242 publications — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Helmut Prendinger 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 Helmut Prendinger 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: 50 D-Index — 62nd percentile

62% 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 Japan Leader Award
  • 2022 - Research.com Computer Science in Japan Leader Award

Overview

Helmut Prendinger is affiliated with the National Institute of Informatics in Japan and has focused a considerable part of their research on engineering and computer science. Their work spans a range of subfields including computer vision and pattern recognition, aerospace engineering, control and systems engineering, management science and operations research, and safety, risk, reliability, and quality.

The scientist's research addresses multiple topics, prominently advanced neural network applications, video surveillance and tracking methods, fault detection and control systems, machine fault diagnosis techniques, stock market forecasting methods, air traffic management and optimization, and robotic path planning algorithms.

Helmut Prendinger has contributed to a series of research papers published in respected venues. Notable publications include:

  • Decentralized Multi-Agent Path Finding for UAV Traffic Management, 2020, IEEE Transactions on Intelligent Transportation Systems
  • Deep learning with RGB and thermal images onboard a drone for monitoring operations, 2022, Journal of Field Robotics
  • Detecting Human Actions in Drone Images Using YoloV5 and Stochastic Gradient Boosting, 2022, Sensors
  • Classification prognostics approaches in aviation, 2021, Measurement
  • Multi-Agent Path Finding in Unmanned Aircraft System Traffic Management With Scheduling and Speed Variation, 2021, IEEE Intelligent Transportation Systems Magazine

The researcher frequently publishes in venues such as:

  • SSRN Electronic Journal
  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Access
  • Journal of Field Robotics
  • Sensors

Collaboration has been a significant aspect of Helmut Prendinger's work, often coauthoring with researchers such as Artur Gonçalves, Marc Cavazza, Bastien Rigault, Márcia L. Baptista, and Rúben Geraldes. These recurring partnerships have contributed to a sustained research output in their fields of specialization.

Best Publications

  • THE EMPATHIC COMPANION: A CHARACTER-BASED INTERFACE THAT ADDRESSES USERS' AFFECTIVE STATES

    Helmut Prendinger;Mitsuru Ishizuka

  • Deep learning for affective computing: Text-based emotion recognition in decision support

    Bernhard Kratzwald;Suzana Ilić;Mathias Kraus;Stefan Feuerriegel

  • Life-like characters : tools, affective functions, and applications

    Helmut Prendinger;満 石塚

  • HILDA: A Discourse Parser Using Support Vector Machine Classification

    Hugo Hernault;Helmut Prendinger;David A. duVerle;Mitsuru Ishizuka

  • Forecasting fault events for predictive maintenance using data-driven techniques and ARMA modeling

    Márcia Baptista;Shankar Sankararaman;Ivo Paixao de Medeiros;Cairo L. Nascimento

  • SentiFul: A Lexicon for Sentiment Analysis

    A Neviarouskaya;H Prendinger;M Ishizuka

  • Textual Affect Sensing for Sociable and Expressive Online Communication

    Alena Neviarouskaya;Helmut Prendinger;Mitsuru Ishizuka

  • Using human physiology to evaluate subtle expressivity of a virtual quizmaster in a mathematical game

    Helmut Prendinger;Junichiro Mori;Mitsuru Ishizuka

  • Okutama-Action: An Aerial View Video Dataset for Concurrent Human Action Detection

    Mohammadamin Barekatain;Miquel Marti;Hsueh-Fu Shih;Samuel Murray

  • Communicating emotions in online chat using physiological sensors and animated text

    Hua Wang;Helmut Prendinger;Takeo Igarashi

  • Social role awareness in animated agents

    Helmut Prendinger;Mitsuru Ishizuka

  • Affect analysis model: Novel rule-based approach to affect sensing from text

    Alena Neviarouskaya;Helmut Prendinger;Mitsuru Ishizuka

  • Recognition of Affect, Judgment, and Appreciation in Text

    Alena Neviarouskaya;Helmut Prendinger;Mitsuru Ishizuka

  • Emotion estimation and reasoning based on affective textual interaction

    Chunling Ma;Helmut Prendinger;Mitsuru Ishizuka

  • SentiFul: Generating a reliable lexicon for sentiment analysis

    Alena Neviarouskaya;Helmut Prendinger;Mitsuru Ishizuka

  • MPML: A markup language for controlling the behavior of life-like characters

    Helmut Prendinger;Sylvain Descamps;Mitsuru Ishizuka

  • Compositionality Principle in Recognition of Fine-Grained Emotions from Text

    Alena Neviarouskaya;Helmut Prendinger;Mitsuru Ishizuka

  • Prediction of dengue outbreaks based on disease surveillance, meteorological and socio-economic data

    Raghvendra Jain;Sra Sontisirikit;Sopon Iamsirithaworn;Helmut Prendinger

  • Remaining useful life estimation in aeronautics: Combining data-driven and Kalman filtering

    Márcia Baptista;Elsa M. P. Henriques;Ivo Paixao de Medeiros;Joao P. Malere

  • Assessing Sentiment of Text by Semantic Dependency and Contextual Valence Analysis

    Mostafa Al Shaikh;Helmut Prendinger;Ishizuka Mitsuru

Frequent Co-Authors

Mitsuru Ishizuka
Mitsuru Ishizuka University of Tokyo
Marc Cavazza
Marc Cavazza University of Stirling
Elisabeth André
Elisabeth André University of Augsburg
Yutaka Matsuo
Yutaka Matsuo University of Tokyo
Stefan Feuerriegel
Stefan Feuerriegel Ludwig Maximilian University of Munich
Serge P. Hoogendoorn
Serge P. Hoogendoorn Delft University of Technology
Kiyoharu Aizawa
Kiyoharu Aizawa University of Tokyo
Dirk Heylen
Dirk Heylen University of Twente
Arjen Ysbert Hoekstra
Arjen Ysbert Hoekstra University of Twente
João Pedro Oliveira
João Pedro Oliveira Universidade Nova de Lisboa

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