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Isabelle Augenstein

Isabelle Augenstein

University of Copenhagen
Denmark

Award Badge
Rising Stars
2025

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Rising Stars 40 660 660 2 2 162 6217
Computer Science 34 12154 11801 59 57 241 5114

Isabelle Augenstein publications per year

The chart shows the history of publications by Isabelle Augenstein between 2012 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Isabelle Augenstein published across 15 years, from 2012 to 2026, averaging 19.2 papers a year. Output peaked at 37 publications in 2021. 38 of the 288 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 2012 to 2026. Vertical axis: number of publications, 0 to 37. Peak 37 publications in 2021. 2012: 1 publication 2013: 5 publications 2014: 5 publications 2015: 2 publications 2016: 11 publications 2017: 26 publications 2018: 22 publications 2019: 31 publications 2020: 24 publications 2021: 37 publications 2022: 24 publications 2023: 33 publications 2024: 29 publications 2025: 36 publications 2026: 2 publications
2012 2026

288 publications in total across all disciplines

View publications per year as a table
Isabelle Augenstein: publications per year, 2012 to 2026
Year Publications
2012 1
2013 5
2014 5
2015 2
2016 11
2017 26
2018 22
2019 31
2020 24
2021 37
2022 24
2023 33
2024 29
2025 36
2026 2
Total 288
Download as CSV

Isabelle Augenstein 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 Isabelle Augenstein sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 232–241 publications, is where this scientist sits. 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
32–41 publications 991+

This scientist: 241 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.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423 241
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Isabelle Augenstein 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 Isabelle Augenstein sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 34–35 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918 34
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Isabelle Augenstein is affiliated with the University of Copenhagen in Denmark. Their research primarily spans the field of Computer Science, with a focus on subfields such as Artificial Intelligence, Sociology and Political Science, Information Systems, Gender Studies, and Computer Vision and Pattern Recognition.

The scientist's work covers a range of topics, including:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Hate Speech and Cyberbullying Detection
  • Misinformation and Its Impacts
  • Explainable Artificial Intelligence (XAI)
  • Sentiment Analysis and Opinion Mining
  • Ethics and Social Impacts of AI

Isabelle Augenstein has contributed to numerous scholarly venues, frequently publishing in:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • ACM Computing Surveys
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • PLoS ONE

Their recent papers highlight diverse research interests and include:

  • Factuality challenges in the era of large language models and opportunities for fact-checking, 2024, Nature Machine Intelligence
  • Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence, 2021, Information Fusion
  • A Survey on Stance Detection for Mis- and Disinformation Identification, 2022, Findings of the Association for Computational Linguistics: NAACL 2022
  • A Survey on Gender Bias in Natural Language Processing, 2021, arXiv (Cornell University)
  • Detecting Harmful Content on Online Platforms: What Platforms Need vs. Where Research Efforts Go, 2023, ACM Computing Surveys

Frequent collaborators with whom Augenstein has co-authored multiple publications include:

  • Arnav Arora
  • Pepa Atanasova
  • Preslav Nakov
  • Christina Lioma
  • Karolina Stańczak

Best Publications

  • Stance detection with bidirectional conditional encoding

    Isabelle Augenstein;Tim Rocktäschel;Andreas Vlachos;Kalina Bontcheva

  • SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications

    Isabelle Augenstein;Mrinal Das;Sebastian Riedel;Lakshmi Vikraman

  • emoji2vec: Learning Emoji Representations from their Description

    Ben Eisner;Tim Rocktäschel;Isabelle Augenstein;Matko Bosnjak

  • Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume

    Unknown

  • Latent Multi-Task Architecture Learning

    Sebastian Ruder;Joachim Bingel;Isabelle Augenstein;Anders Søgaard

  • A simple but tough-to-beat baseline for the Fake News Challenge stance detection task

    Benjamin Riedel;Isabelle Augenstein;Georgios P. Spithourakis;Sebastian Riedel

  • MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims

    Isabelle Augenstein;Christina Lioma;Dongsheng Wang;Lucas Chaves Lima

  • Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence

    Andreas Holzinger;Andreas Holzinger;Matthias Dehmer;Frank Emmert-Streib;Rita Cucchiara

  • A Diagnostic Study of Explainability Techniques for Text Classification.

    Pepa Atanasova;Jakob Grue Simonsen;Christina Lioma;Isabelle Augenstein

  • Sluice networks: Learning what to share between loosely related tasks.

    Sebastian Ruder;Joachim Bingel;Isabelle Augenstein;Anders Søgaard

  • Discourse-aware rumour stance classification in social media using sequential classifiers

    Arkaitz Zubiaga;Elena Kochkina;Elena Kochkina;Maria Liakata;Maria Liakata;Rob Procter;Rob Procter

  • Learning what to share between loosely related tasks

    Sebastian Ruder;Joachim Bingel;Isabelle Augenstein;Anders Søgaard

  • Generating Fact Checking Explanations

    Pepa Atanasova;Jakob Grue Simonsen;Christina Lioma;Isabelle Augenstein

  • LODifier: generating linked data from unstructured text

    Isabelle Augenstein;Sebastian Padó;Sebastian Rudolph

  • Generalisation in named entity recognition

    Isabelle Augenstein;Leon Derczynski;Kalina Bontcheva

  • Turing at SemEval-2017 Task 8: Sequential Approach to Rumour Stance Classification with Branch-LSTM

    Elena Kochkina;Maria Liakata;Isabelle Augenstein

  • A Survey on Stance Detection for Mis- and Disinformation Identification

    Momchil Hardalov;Arnav Arora;Preslav Nakov;Isabelle Augenstein

  • Zero-Shot Cross-Lingual Transfer with Meta Learning

    Farhad Nooralahzadeh;Giannis Bekoulis;Johannes Bjerva;Isabelle Augenstein

  • A Supervised Approach to Extractive Summarisation of Scientific Papers

    Ed Collins;Isabelle Augenstein;Sebastian Riedel

  • Factuality challenges in the era of large language models and opportunities for fact-checking

    Unknown

  • Multi-Task Learning of Pairwise Sequence Classification Tasks over Disparate Label Spaces

    Isabelle Augenstein;Sebastian Ruder;Anders Søgaard

  • Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings

    Unknown

  • emoji2vec: Learning Emoji Representations from their Description

    Ben Eisner;Tim Rocktäschel;Isabelle Augenstein;Matko Bošnjak

  • Multi-Task Learning of Keyphrase Boundary Classification

    Isabelle Augenstein;Anders Søgaard

  • Generalisation in Named Entity Recognition: A Quantitative Analysis

    Isabelle Augenstein;Leon Derczynski;Kalina Bontcheva

Frequent Co-Authors

Anders Søgaard
Anders Søgaard University of Copenhagen
Ryan Cotterell
Ryan Cotterell ETH Zurich
Sebastian Riedel
Sebastian Riedel University College London
Kalina Bontcheva
Kalina Bontcheva University of Sheffield
Fabio Ciravegna
Fabio Ciravegna University of Turin
Preslav Nakov
Preslav Nakov Mohamed bin Zayed University of Artificial Intelligence
Tim Rocktäschel
Tim Rocktäschel University College London
Sebastian Ruder
Sebastian Ruder Google (United States)
Maria Liakata
Maria Liakata Queen Mary University of London
Hanna Wallach
Hanna Wallach Microsoft (United States)

External Links

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Best Scientists Citing Isabelle Augenstein

Preslav Nakov

Preslav Nakov

Mohamed bin Zayed University of Artificial Intelligence

Publications: 30

Arkaitz Zubiaga

Arkaitz Zubiaga

Queen Mary University of London

Publications: 19

Sören Auer

Sören Auer

University of Hannover

Publications: 18

Mohit Bansal

Mohit Bansal

University of North Carolina at Chapel Hill

Publications: 18

Ivan Vulić

Ivan Vulić

University of Cambridge

Publications: 15

Anders Søgaard

Anders Søgaard

University of Copenhagen

Publications: 15

Andreas Vlachos

Andreas Vlachos

University of Cambridge

Publications: 15

Yu Zhang

Yu Zhang

Southern University of Science and Technology

Publications: 14

Iryna Gurevych

Iryna Gurevych

Technical University of Darmstadt

Publications: 13

Qiang Yang

Qiang Yang

Hong Kong University of Science and Technology

Publications: 13

Sinno Jialin Pan

Sinno Jialin Pan

Chinese University of Hong Kong

Publications: 12

Ekaterina Shutova

Ekaterina Shutova

University of Amsterdam

Publications: 11

Anna Korhonen

Anna Korhonen

University of Cambridge

Publications: 11

Roi Reichart

Roi Reichart

Technion – Israel Institute of Technology

Publications: 11

Kalina Bontcheva

Kalina Bontcheva

University of Sheffield

Publications: 10

Cécile Paris

Cécile Paris

Commonwealth Scientific and Industrial Research Organisation

Publications: 10

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