World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
10272
World Ranking
11899
National Ranking
4853

Aren Jansen 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 Aren Jansen 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: 100 publications — 8th percentile

8% of scientists in this discipline score the same or lower.

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

Aren Jansen 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 Aren Jansen 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: 34 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Overview

Aren Jansen is affiliated with Google in the United States and has contributed extensively to research within computer science, focusing primarily on computer vision and human-computer interaction. Their work covers multiple subfields, including sociology and political science, general health professions, and psychiatry and mental health.

Their recent research outputs include several published papers in diverse venues. Notable publications include "The Homestead: Developing a Conceptual Framework through Co-Creation for Innovating Long-Term Dementia Care Environments" (2020) published in the International Journal of Environmental Research and Public Health, and "An Architecture for End-User TV Content Enrichment" (2024) presented at Hochschule Düsseldorf. Other significant papers are "VR2Gather: A Collaborative, Social Virtual Reality System for Adaptive, Multiparty Real-Time Communication" (2023) in IEEE Multimedia, "Evaluating the Impact of Tiled User-Adaptive Real-Time Point Cloud Streaming on VR Remote Communication" (2022) from the Proceedings of the 30th ACM International Conference on Multimedia, and "Delay Threshold for Social Interaction in Volumetric eXtended Reality Communication" (2024) published in ACM Transactions on Multimedia Computing Communications and Applications.

The venues where Aren Jansen frequently publishes include:

  • Proceedings of the 30th ACM International Conference on Multimedia
  • ACM Transactions on Multimedia Computing Communications and Applications
  • arXiv (Cornell University)
  • International Journal of Environmental Research and Public Health
  • IEEE Multimedia

Their research spans several key topics such as:

  • Virtual Reality Applications and Impacts
  • Image and Video Quality Assessment
  • Augmented Reality Applications
  • Multimedia Communication and Technology
  • Geriatric Care and Nursing Homes
  • Dementia and Cognitive Impairment Research
  • Migration, Aging, and Tourism Studies

Frequent collaborators in their work include:

  • Pablo César
  • Irene Viola
  • Shishir Subramanyam
  • Evangelos Alexiou
  • Ignacio Reimat

Their contributions have been focused largely on developing systems and frameworks relevant to social and health-related contexts, particularly involving virtual and augmented reality technologies. The interdisciplinary nature of their work integrates elements from computer science and health sciences to address challenges within communication technologies and elderly care environments.

Best Publications

  • Audio Set: An ontology and human-labeled dataset for audio events

    Jort F. Gemmeke;Daniel P. W. Ellis;Dylan Freedman;Aren Jansen

  • CNN architectures for large-scale audio classification

    Shawn Hershey;Sourish Chaudhuri;Daniel P. W. Ellis;Jort F. Gemmeke

  • Shared computational principles for language processing in humans and deep language models

    Unknown

  • Attention Bottlenecks for Multimodal Fusion

    Arsha Nagrani;Shan Yang;Anurag Arnab;Aren Jansen

  • Attention Bottlenecks for Multimodal Fusion

    Arsha Nagrani;Shan Yang;Anurag Arnab;Aren Jansen

  • The Zero Resource Speech Challenge 2015

    Maarten Versteegh;Roland Thiollière;Thomas Schatz;Xuan Nga Cao

  • Efficient spoken term discovery using randomized algorithms

    Aren Jansen;Benjamin Van Durme

  • Towards Spoken Term Discovery At Scale With Zero Resources

    Aren Jansen;Kenneth Church;Hynek Hermansky

  • Evaluating speech features with the Minimal-Pair ABX task: Analysis of the classical MFC/PLP pipeline

    Thomas Schatz;Vijayaditya Peddinti;Francis R. Bach;Aren Jansen

  • BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition

    Yu Zhang;Daniel S. Park;Wei Han;James Qin

  • A summary of the 2012 JHU CLSP workshop on zero resource speech technologies and models of early language acquisition

    Aren Jansen;Emmanuel Dupoux;Sharon Goldwater;Mark Johnson

  • Unsupervised Learning of Semantic Audio Representations

    Aren Jansen;Manoj Plakal;Ratheet Pandya;Daniel P. W. Ellis

  • Fixed-dimensional acoustic embeddings of variable-length segments in low-resource settings

    Keith Levin;Katharine Henry;Aren Jansen;Karen Livescu

  • Unsupervised neural network based feature extraction using weak top-down constraints

    Herman Kamper;Micha Elsner;Aren Jansen;Sharon Goldwater

  • Towards Learning a Universal Non-Semantic Representation of Speech.

    Joel Shor;Aren Jansen;Ronnie Maor;Oran Lang

  • A Comparison of Neural Network Methods for Unsupervised Representation Learning on the Zero Resource Speech Challenge

    Daniel Renshaw;Herman Kamper;Aren Jansen;Sharon Goldwater

  • Rapid Evaluation of Speech Representations for Spoken Term Discovery.

    Michael A. Carlin;Samuel Thomas;Aren Jansen;Hynek Hermansky

  • A Convolutional Neural Network for Automated Detection of Humpback Whale Song in a Diverse, Long-Term Passive Acoustic Dataset

    Ann N. Allen;Matt Harvey;Lauren Harrell;Aren Jansen

  • A Segmental Framework for Fully-Unsupervised Large-Vocabulary Speech Recognition

    Herman Kamper;Aren Jansen;Sharon Goldwater

  • Unsupervised word segmentation and lexicon discovery using acoustic word embeddings

    Herman Kamper;Aren Jansen;Sharon Goldwater

  • Towards Unsupervised Training of Speaker Independent Acoustic Models.

    Aren Jansen;Kenneth Church

  • NLP on Spoken Documents Without ASR

    Mark Dredze;Aren Jansen;Glen Coppersmith;Ken Church

  • The Zero Resource Speech Challenge 2015: Proposed Approaches and Results☆

    Maarten Versteegh;Xavier Anguera;Aren Jansen;Emmanuel Dupoux

  • The Benefit of Temporally-Strong Labels in Audio Event Classification

    Shawn Hershey;Daniel P W Ellis;Eduardo Fonseca;Aren Jansen

  • A segmental framework for fully-unsupervised large-vocabulary speech recognition

    Herman Kamper;Aren Jansen;Sharon Goldwater

Frequent Co-Authors

Daniel P. W. Ellis
Daniel P. W. Ellis Google (United States)
Hynek Hermansky
Hynek Hermansky Johns Hopkins University
Partha Niyogi
Partha Niyogi University of Chicago
Sharon Goldwater
Sharon Goldwater University of Edinburgh
Samuel Thomas
Samuel Thomas IBM (United States)
Michael P. Brenner
Michael P. Brenner University of Michigan–Ann Arbor
Sanjeev Khudanpur
Sanjeev Khudanpur Johns Hopkins University
John R. Hershey
John R. Hershey Google (United States)
Emmanuel Dupoux
Emmanuel Dupoux School for Advanced Studies in the Social Sciences
Kenneth A. Norman
Kenneth A. Norman Princeton University

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

Exploring online degrees opens up diverse opportunities for students interested in Computer Science and closely related fields in the USA. Many best colleges for low gpa provide flexible online programs, welcoming students from a wide range of academic backgrounds.

If you want to fast-track your education, consider enrolling in a accelerated cs degree program. These intensive courses are designed to help you earn your qualification quickly while still covering core areas of the discipline.

A Computer Science background also allows you to branch into interdisciplinary fields. Some students pursue an environmental engineering bachelor's degree online, combining technology with environmental problem-solving. This pathway is not only flexible and affordable, but also connects to in-demand industries.

Graduates can target a range of high-paying jobs with environmental science degree skills, especially those at the intersection of technology, engineering, and environmental management. Exploring these related degrees can strengthen your career outlook and expand your professional options.

Best Scientists Citing Aren Jansen

Trending Scientists

Recently Published Articles