World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
5889
World Ranking
9387
National Ranking
291

Jorge Goncalves 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 Jorge Goncalves 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: 244 publications — 61st percentile

61% of scientists in this discipline score the same or lower.

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

Jorge Goncalves 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 Jorge Goncalves 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: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

Jorge Goncalves is affiliated with the University of Melbourne in Australia and conducts research primarily in the fields of Computer Science and Social Sciences. Their work spans various subfields including Human-Computer Interaction, Sociology and Political Science, Computer Vision and Pattern Recognition, Artificial Intelligence, and Cognitive Neuroscience.

Their research covers several main topics such as Mobile Crowdsensing and Crowdsourcing, Virtual Reality Applications and Impacts, Misinformation and Its Impacts, Social Media and Politics, Augmented Reality Applications, Tactile and Sensory Interactions, and the Impact of Technology on Adolescents.

Jorge Goncalves has published in a range of academic venues, with notable frequent publication platforms including:

  • arXiv (Cornell University)
  • International Journal of Human-Computer Studies
  • Proceedings of the ACM on Human-Computer Interaction
  • ACM Computing Surveys
  • SSRN Electronic Journal

Recent papers authored or co-authored by Jorge Goncalves include:

  • "Behavioral and Physiological Signals-Based Deep Multimodal Approach for Mobile Emotion Recognition", 2021, IEEE Transactions on Affective Computing
  • "Fully-Occluded Target Selection in Virtual Reality", 2020, IEEE Transactions on Visualization and Computer Graphics
  • "Human-centred artificial intelligence: a contextual morality perspective", 2020, Behaviour and Information Technology
  • "Electronic Monitoring Systems for Hand Hygiene: Systematic Review of Technology", 2021, Journal of Medical Internet Research
  • "A Survey on Task Assignment in Crowdsourcing", 2022, ACM Computing Surveys

The scientist frequently collaborates with the following co-authors:

  • Vassilis Kostakos
  • Zhanna Sarsenbayeva
  • Niels van Berkel
  • Eduardo Velloso
  • Tilman Dingler

Best Publications

  • Necessary and Sufficient Conditions for Dynamical Structure Reconstruction of LTI Networks

    Unknown

  • An Empirical Investigation of Mobile Government Adoption in Rural China: A Case Study in Zhejiang Province

    Yong Liu;Hongxiu Li;Vassilis Kostakos;Jorge Goncalves

  • CHI 1994-2013: mapping two decades of intellectual progress through co-word analysis

    Yong Liu;Jorge Goncalves;Denzil Ferreira;Bei Xiao

  • Contextual experience sampling of mobile application micro-usage

    Denzil Ferreira;Jorge Goncalves;Vassilis Kostakos;Louise Barkhuus

  • Are Smartphones Ubiquitous?: An in-depth survey of smartphone adoption by seniors

    Anabela Berenguer;Jorge Goncalves;Simo Hosio;Denzil Ferreira

  • What makes you click: exploring visual signals to entice interaction on public displays

    Hannu Kukka;Heidi Oja;Vassilis Kostakos;Jorge Gonçalves

  • Crowdsourcing on the spot: altruistic use of public displays, feasibility, performance, and behaviours

    Jorge Goncalves;Denzil Ferreira;Simo Hosio;Yong Liu

  • Revisitation analysis of smartphone app use

    Simon L. Jones;Denzil Ferreira;Simo Hosio;Jorge Goncalves

  • Sharing ephemeral information in online social networks: privacy perceptions and behaviours

    Bernardo Reynolds;Jayant Venkatanathan;Jorge Gonçalves;Vassilis Kostakos

  • Gamification of Mobile Experience Sampling Improves Data Quality and Quantity

    Niels van Berkel;Jorge Goncalves;Simo Hosio;Vassilis Kostakos

  • Gaze-Supported 3D Object Manipulation in Virtual Reality

    Difeng Yu;Xueshi Lu;Rongkai Shi;Hai-Ning Liang

  • Situated crowdsourcing using a market model

    Simo Hosio;Jorge Goncalves;Vili Lehdonvirta;Denzil Ferreira

  • Effect of Experience Sampling Schedules on Response Rate and Recall Accuracy of Objective Self-Reports

    Niels van Berkel;Jorge Goncalves;Lauri Lovén;Denzil Ferreira

  • Behavioral and Physiological Signals-Based Deep Multimodal Approach for Mobile Emotion Recognition

    Kangning Yang;Chaofan Wang;Yue Gu;Zhanna Sarsenbayeva

  • Revisiting human-battery interaction with an interactive battery interface

    Denzil Ferreira;Eija Ferreira;Jorge Goncalves;Vassilis Kostakos

  • Crowdsourcing Public Opinion Using Urban Pervasive Technologies: Lessons From Real‐Life Experiments in Oulu

    Simo Hosio;Jorge Goncalves;Vassilis Kostakos;Jukka Riekki

  • A Systematic Assessment of Smartphone Usage Gaps

    Niels van Berkel;Chu Luo;Theodoros Anagnostopoulos;Denzil Ferreira

  • Effect of Information Presentation on Fairness Perceptions of Machine Learning Predictors

    Niels van Berkel;Jorge Goncalves;Daniel Russo;Simo Hosio

  • Fully-Occluded Target Selection in Virtual Reality

    Difeng Yu;Qiushi Zhou;Joshua Newn;Tilman Dingler

  • Game of words: tagging places through crowdsourcing on public displays

    Jorge Goncalves;Simo Hosio;Denzil Ferreira;Vassilis Kostakos

  • Motivating participation and improving quality of contribution in ubiquitous crowdsourcing

    Jorge Goncalves;Simo Hosio;Jakob Rogstadius;Evangelos Karapanos

  • Crowdsourcing Perceptions of Fair Predictors for Machine Learning: A Recidivism Case Study

    Niels van Berkel;Jorge Goncalves;Danula Hettiachchi;Senuri Wijenayake

  • Quantifying Sources and Types of Smartwatch Usage Sessions

    Aku Visuri;Zhanna Sarsenbayeva;Niels van Berkel;Jorge Goncalves

Frequent Co-Authors

Vassilis Kostakos
Vassilis Kostakos University of Melbourne
Simo Hosio
Simo Hosio University of Oulu
Denzil Ferreira
Denzil Ferreira University of Oulu
Eduardo Velloso
Eduardo Velloso University of Melbourne
Timo Ojala
Timo Ojala University of Oulu
Jukka Riekki
Jukka Riekki University of Oulu
Anna L. Cox
Anna L. Cox University College London
Jacob O. Wobbrock
Jacob O. Wobbrock University of Washington
Peter Koval
Peter Koval University of Melbourne
Raja Jurdak
Raja Jurdak Queensland University of Technology

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