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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 44 7516 7297 3269 3144 281 9171

Lora Aroyo publications per year

The chart shows the history of publications by Lora Aroyo between 1993 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Lora Aroyo published across 33 years, from 1993 to 2025, averaging 9.1 papers a year. Output peaked at 23 publications in 2018. 10 of the 301 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1993 to 2025. Vertical axis: number of publications, 0 to 23. Peak 23 publications in 2018. 1993: 1 publication 1994: 0 publications 1995: 0 publications 1996: 0 publications 1997: 0 publications 1998: 4 publications 1999: 4 publications 2000: 3 publications 2001: 4 publications 2002: 9 publications 2003: 9 publications 2004: 18 publications 2005: 11 publications 2006: 13 publications 2007: 17 publications 2008: 11 publications 2009: 17 publications 2010: 15 publications 2011: 16 publications 2012: 9 publications 2013: 17 publications 2014: 13 publications 2015: 14 publications 2016: 15 publications 2017: 16 publications 2018: 23 publications 2019: 8 publications 2020: 2 publications 2021: 3 publications 2022: 5 publications 2023: 14 publications 2024: 6 publications 2025: 4 publications
1993 2025

301 publications in total across all disciplines

View publications per year as a table
Lora Aroyo: publications per year, 1993 to 2025
Year Publications
1993 1
1994 0
1995 0
1996 0
1997 0
1998 4
1999 4
2000 3
2001 4
2002 9
2003 9
2004 18
2005 11
2006 13
2007 17
2008 11
2009 17
2010 15
2011 16
2012 9
2013 17
2014 13
2015 14
2016 15
2017 16
2018 23
2019 8
2020 2
2021 3
2022 5
2023 14
2024 6
2025 4
Total 301
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Lora Aroyo 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 Lora Aroyo 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, 272–281 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: 281 publications — 70th percentile

70% 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
242–251 408
252–261 377
262–271 301
272–281 335 281
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
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Lora Aroyo 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 Lora Aroyo 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, 44–45 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: 44 D-Index — 48th percentile

48% 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
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763 44
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
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Overview

Lora Aroyo is a researcher primarily affiliated with Google in the United States. Their main field of study is Computer Science, with a particular focus on Artificial Intelligence and its subfields. Over their career, they have contributed extensively to research topics that span Natural Language Processing Techniques, Explainable Artificial Intelligence (XAI), Ethics and Social Impacts of AI, Topic Modeling, Video Analysis and Summarization, Mobile Crowdsensing and Crowdsourcing, and Machine Learning and Data Classification.

Their publication record includes works published in prominent venues such as arXiv (Cornell University), Computational Linguistics, and interactions. These venues reflect the interdisciplinary nature of their work, combining technical and social aspects of AI. Frequent publication venues where Aroyo's research appears include:

  • arXiv (Cornell University)
  • Computational Linguistics
  • interactions
  • Proceedings of the AAAI Conference on Human Computation and Crowdsourcing
  • Zenodo (CERN European Organization for Nuclear Research)

Notable recent papers by Lora Aroyo include:

  • "LaMDA: Language Models for Dialog Applications," 2022, arXiv (Cornell University)
  • "DataPerf: Benchmarks for Data-Centric AI Development," 2022, arXiv (Cornell University)
  • "Measuring Attribution in Natural Language Generation Models," 2023, Computational Linguistics
  • "Data excellence for AI," 2022, interactions
  • "Measuring Attribution in Natural Language Generation Models," 2023, Computational Linguistics

Aroyo frequently collaborates with other researchers, sharing multiple publications with a group of coauthors who have contributed to their work in various capacities. These frequent coauthors include:

  • Alicia Parrish
  • Oana Inel
  • Mark Díaz
  • Vinodkumar Prabhakaran
  • Praveen Paritosh

The diverse scope of topics in Aroyo's research reflects a commitment to addressing both technical challenges and societal implications in artificial intelligence. This dual focus is evident in their examined subjects covering explainability, ethical concerns, and social impacts as well as foundational AI methodologies and applications spanning video summarization and crowdsourcing strategies.

Best Publications

  • The Semantic Web - ISWC 2006

    Isabel Cruz;Stefan Decker;Dean Allemang;Chris Preist

  • The effects of transparency on trust in and acceptance of a content-based art recommender

    Henriette Cramer;Vanessa Evers;Satyan Ramlal;Maarten Someren

  • Crowdsourcing in the cultural heritage domain: opportunities and challenges

    Johan Oomen;Lora Aroyo

  • The Semantic Web - ISWC 2011: 10th International Semantic Web Conference, Bonn, Germany, October 23-27, 2011, Proceedings, Part I

    Lora Aroyo;Chris Welty;Harith Alani;Jamie Taylor

  • The New Challenges for E-learning: The Educational Semantic Web

    Lora Aroyo;Darina Dicheva

  • Interoperability in Personalized Adaptive Learning

    Lora Aroyo;Peter Dolog;Geert-Jan Houben;Milos Kravcik

  • Truth Is a Lie: Crowd Truth and the Seven Myths of Human Annotation

    Lora Aroyo;Chris Welty

  • The Next Big Thing: Adaptive Web-Based Systems

    Pme Paul De Bra;LM Lora Aroyo;V Vadim Chepegin

  • Semantic annotation and search of cultural-heritage collections: The MultimediaN E-Culture demonstrator

    Guus Schreiber;Alia Amin;Lora Aroyo;Mark van Assem

  • The Semantic Web - ISWC 2013

    Harith Alani;Lalana Kagal;Achille Fokoue;Paul Groth

  • Recommendations based on semantically enriched museum collections

    Yiwen Wang;Natalia Stash;Lora Aroyo;Peter Gorgels

  • Adaptive Web-based Educational Hypermedia

    Pme Paul De Bra;LM Lora Aroyo;AI Alexandra Cristea

  • Cultivating Personalized Museum Tours Online and On-Site

    Yiwen Wang;Natalia Stash;Rody Sambeek;Yuri Schuurmans

  • Ontological Support for Web Courseware Authoring

    Lora Aroyo;Darina Dicheva;Alexandra I. Cristea

  • CHIP demonstrator: semantics-driven recommendations and museum tour generation

    Lora Aroyo;Natalia Stash;Yiwen Wang;Peter Gorgels

  • Crowdsourcing Subjective Tasks: The Case Study of Understanding Toxicity in Online Discussions

    Unknown

  • Crowd Truth: Harnessing disagreement in crowdsourcing a relation extraction gold standard

    Lora Aroyo;Chris Welty

  • Integrating open user modeling and learning content management for the semantic web

    Ronald Denaux;Vania Dimitrova;Lora Aroyo

  • CrowdTruth: Machine-Human Computation Framework for Harnessing Disagreement in Gathering Annotated Data

    Oana Inel;Khalid Khamkham;Tatiana Cristea;Anca Dumitrache

  • DataPerf: Benchmarks for Data-Centric AI Development

    Unknown

  • Finding your way through the rijksmuseum with an adaptive mobile museum guide

    Willem Robert van Hage;Natalia Stash;Yiwen Wang;Lora Aroyo

  • The Semantic Web: Research and Applications

    Lora Aroyo;Grigoris Antoniou;Eero Hyvönen;Annette Ten Teije

Frequent Co-Authors

Chris Welty
Chris Welty Google (United States)
Guus Schreiber
Guus Schreiber Vrije Universiteit Amsterdam
Geert-Jan Houben
Geert-Jan Houben Delft University of Technology
Riichiro Mizoguchi
Riichiro Mizoguchi Japan Advanced Institute of Science and Technology
Piek Vossen
Piek Vossen Vrije Universiteit Amsterdam
Eero Hyvönen
Eero Hyvönen Aalto University
Harith Alani
Harith Alani The Open University
Grigoris Antoniou
Grigoris Antoniou University of Huddersfield
Bob Wielinga
Bob Wielinga University of Amsterdam

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