World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
5314
World Ranking
12120
National Ranking
58

Ira Assent 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 Ira Assent 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: 152 publications — 28th percentile

28% of scientists in this discipline score the same or lower.

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

Ira Assent 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 Ira Assent 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

Ira Assent is a researcher affiliated with Aarhus University in Denmark, specializing in computer science with a focus on artificial intelligence and related subfields. Their work covers a range of topics including advanced clustering algorithms, data mining applications, semantic web technologies, remote sensing in agriculture, explainable artificial intelligence, precipitation measurement, and data management strategies.

Their publication record includes contributions to several peer-reviewed venues. Notable recent papers include:

  • TimeMatch: Unsupervised cross-region adaptation by temporal shift estimation, 2022, ISPRS Journal of Photogrammetry and Remote Sensing
  • Incremental Density-Based Clustering on Multicore Processors, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • GLEAN: Generalized-Deduplication-Enabled Approximate Edge Analytics, 2022, IEEE Internet of Things Journal
  • TextBenDS: a Generic Textual Data Benchmark for Distributed Systems, 2020, Information Systems Frontiers
  • From Demo to Design in Teaching Machine Learning, 2022, 2022 ACM Conference on Fairness, Accountability, and Transparency

Assent has collaborated frequently with a number of researchers, including:

  • Joachim Nyborg
  • Davide Mottin
  • Andrew Draganov
  • Jakob Rødsgaard Jørgensen
  • Hanno Scharr

Their research is often published in venues such as arXiv (Cornell University), Research Portal (King's College London), Machine Learning journals, IEEE conferences, and ISPRS journals. This diversity highlights the interdisciplinary nature of their work spanning multiple domains related to computer science and artificial intelligence.

Within the field of computer science, they focus extensively on the following subfields:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Atmospheric Science
  • Signal Processing
  • Information Systems

Key topics addressed in their publications include:

  • Advanced Clustering Algorithms Research
  • Data Mining Algorithms and Applications
  • Semantic Web and Ontologies
  • Remote Sensing in Agriculture
  • Explainable Artificial Intelligence (XAI)
  • Precipitation Measurement and Analysis
  • Data Management and Algorithms

Best Publications

  • On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study

    Guilherme O. Campos;Arthur Zimek;Jörg Sander;Ricardo J. Campello

  • Evaluating Clustering in Subspace Projections of High Dimensional Data

    Emmanuel Müller;Stephan Günnemann;Ira Assent;Thomas Seidl

  • Evaluating clustering in subspace projections of high dimensional data

    Emmanuel Müller;Stephan Günnemann;Ira Assent;Thomas Seidl

  • The ClusTree: indexing micro-clusters for anytime stream mining

    Philipp Kranen;Ira Assent;Corinna Baldauf;Thomas Seidl

  • Clustering high dimensional data

    Ira Assent

  • DUSC: Dimensionality Unbiased Subspace Clustering

    I. Assent;R. Krieger;E. Muller;T. Seidl

  • Clicks: An effective algorithm for mining subspace clusters in categorical datasets

    Mohammed J. Zaki;Markus Peters;Ira Assent;Thomas Seidl

  • INSCY: Indexing Subspace Clusters with In-Process-Removal of Redundancy

    I. Assent;R. Krieger;E. Muller;T. Seidl

  • Explaining Outliers by Subspace Separability

    Barbora Micenkova;Xuan-Hong Dang;Ira Assent;Raymond T. Ng

  • AnyOut: anytime outlier detection on streaming data

    Ira Assent;Philipp Kranen;Corinna Baldauf;Thomas Seidl

  • Outsourced Similarity Search on Metric Data Assets

    Man Lung Yiu;I. Assent;C. S. Jensen;P. Kalnis

  • The TS-tree: efficient time series search and retrieval

    Ira Assent;Ralph Krieger;Farzad Afschari;Thomas Seidl

  • OutRank: ranking outliers in high dimensional data

    E. Muller;I. Assent;U. Steinhausen;T. Seidl

  • Discriminative features for identifying and interpreting outliers

    Xuan Hong Dang;Ira Assent;Raymond T. Ng;Arthur Zimek

  • Outlier Ranking via Subspace Analysis in Multiple Views of the Data

    Emmanuel Muller;Ira Assent;Patricia Iglesias;Yvonne Mulle

  • Relevant Subspace Clustering: Mining the Most Interesting Non-redundant Concepts in High Dimensional Data

    Emmanuel Müller;Ira Assent;Stephan Günnemann;Ralph Krieger

  • Anticipatory DTW for efficient similarity search in time series databases

    Ira Assent;Marc Wichterich;Ralph Krieger;Hardy Kremer

  • Self-Adaptive Anytime Stream Clustering

    Philipp Kranen;Ira Assent;Corinna Baldauf;Thomas Seidl

  • Approximation Techniques for Indexing the Earth Mover’s Distance in Multimedia Databases

    I. Assent;A. Wenning;T. Seidl

  • VISA: visual subspace clustering analysis

    Ira Assent;Ralph Krieger;Emmanuel Müller;Thomas Seidl

  • Local outlier detection with interpretation

    Xuan Hong Dang;Barbora Micenková;Ira Assent;Raymond T. Ng

Frequent Co-Authors

Thomas Seidl
Thomas Seidl Ludwig-Maximilians-Universität München
Stephan Günnemann
Stephan Günnemann Technical University of Munich
Arthur Zimek
Arthur Zimek University of Southern Denmark
Carlotta Domeniconi
Carlotta Domeniconi George Mason University
Raymond T. Ng
Raymond T. Ng University of British Columbia
Nikos Mamoulis
Nikos Mamoulis University of Ioannina
Torben Bach Pedersen
Torben Bach Pedersen Aalborg University
Aristides Gionis
Aristides Gionis Royal Institute of Technology
Eyke Hüllermeier
Eyke Hüllermeier Ludwig-Maximilians-Universität München
Sihem Amer-Yahia
Sihem Amer-Yahia Grenoble Alpes 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 in Computer Science opens a world of flexible education and diverse career paths. From fast-track programs like 1 year associate degree programs online to advanced studies, there’s a program to fit almost every goal and schedule.

Cost is a vital consideration for many students. Thankfully, there are many cheapest online degrees available, making it easier to earn a respected qualification without accumulating overwhelming debt.

For those worried about academic requirements, several accredited online graduate schools with low gpa requirements can help you continue your studies, even if your previous academic record isn’t perfect.

If you’re considering an advanced credential, Computer Science consistently appears among the most in demand masters degrees. These pathways can lead to high-paying roles and future-proof your career in tech.

Best Scientists Citing Ira Assent

Trending Scientists

Recently Published Articles