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Daniel S. Weld

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 101 349 338 191 184 335 50527

Daniel S. Weld publications per year

The chart shows the history of publications by Daniel S. Weld between 1983 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Daniel S. Weld published across 43 years, from 1983 to 2025, averaging 7.3 papers a year. Output peaked at 22 publications in 2021. 2 of the 316 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1983 to 2025. Vertical axis: number of publications, 0 to 22. Peak 22 publications in 2021. 1983: 2 publications 1984: 1 publication 1985: 1 publication 1986: 2 publications 1987: 1 publication 1988: 2 publications 1989: 3 publications 1990: 5 publications 1991: 1 publication 1992: 7 publications 1993: 8 publications 1994: 21 publications 1995: 4 publications 1996: 9 publications 1997: 13 publications 1998: 6 publications 1999: 9 publications 2000: 8 publications 2001: 17 publications 2002: 4 publications 2003: 9 publications 2004: 11 publications 2005: 7 publications 2006: 4 publications 2007: 8 publications 2008: 18 publications 2009: 13 publications 2010: 13 publications 2011: 9 publications 2012: 11 publications 2013: 11 publications 2014: 5 publications 2015: 6 publications 2016: 7 publications 2017: 1 publication 2018: 6 publications 2019: 12 publications 2020: 15 publications 2021: 22 publications 2022: 1 publication 2023: 1 publication 2024: 1 publication 2025: 1 publication
1983 2025

316 publications in total across all disciplines

View publications per year as a table
Daniel S. Weld: publications per year, 1983 to 2025
Year Publications
1983 2
1984 1
1985 1
1986 2
1987 1
1988 2
1989 3
1990 5
1991 1
1992 7
1993 8
1994 21
1995 4
1996 9
1997 13
1998 6
1999 9
2000 8
2001 17
2002 4
2003 9
2004 11
2005 7
2006 4
2007 8
2008 18
2009 13
2010 13
2011 9
2012 11
2013 11
2014 5
2015 6
2016 7
2017 1
2018 6
2019 12
2020 15
2021 22
2022 1
2023 1
2024 1
2025 1
Total 316
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Daniel S. Weld 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 Daniel S. Weld 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, 332–341 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: 335 publications — 80th percentile

80% 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
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209 335
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

Daniel S. Weld 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 Daniel S. Weld 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, 100–101 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: 101 D-Index — 98th percentile

98% 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
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 36 101
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

  • 2020 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2005 - ACM Fellow For contributions to planning algorithms.
  • 1999 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to development of qualitative reasoning methods, software agent technology, and plan synthesis algorithms.

Overview

Daniel S. Weld is affiliated with the University of Washington in the United States and has contributed to the field of computer science, with a strong focus on artificial intelligence and related subfields. Their research spans several areas including mobile crowdsensing and crowdsourcing, software engineering research, data stream mining techniques, auction theory and applications, artificial intelligence in games, AI-based problem solving and planning, and constraint satisfaction and optimization.

Their recent publications reflect a diverse range of topics within artificial intelligence and computer science applications. Notable papers include:

  • "Dynamically Switching between Synergistic Workows for Crowdsourcing" (2021), published in the Proceedings of the AAAI Conference on Artificial Intelligence
  • "LRTDP Versus UCT for Online Probabilistic Planning" (2021), published in the Proceedings of the AAAI Conference on Artificial Intelligence
  • "Ontological Smoothing for Relation Extraction with Minimal Supervision" (2021), published in the Proceedings of the AAAI Conference on Artificial Intelligence
  • "Focused Topological Value Iteration" (2021), published in the Proceedings of the International Conference on Automated Planning and Scheduling
  • "Scim: Intelligent Skimming Support for Scientific Papers" (2022), published in arXiv (Cornell University)

Their collaborations include frequent coauthors such as Mausam Mausam, Eric Horvitz, Christopher H. Lin, Andrey Kolobov, and Congle Zhang.

Daniel S. Weld has published extensively in several venues, with the most common being:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Proceedings of the International Conference on Automated Planning and Scheduling

Their work covers multiple subfields including artificial intelligence, computer science applications, information systems, management science and operations research, and computer networks and communications.

Throughout their career, Daniel S. Weld has received recognition in the form of several awards. These include being named a Fellow of the American Association for the Advancement of Science (AAAS) in 2020, an ACM Fellow in 2005 for contributions to planning algorithms, and a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) in 1999 for contributions to qualitative reasoning methods, software agent technology, and plan synthesis algorithms.

Best Publications

  • Open information extraction from the web

    Oren Etzioni;Michele Banko;Stephen Soderland;Daniel S. Weld

  • SpanBERT: Improving Pre-training by Representing and Predicting Spans

    Mandar Joshi;Danqi Chen;Yinhan Liu;Daniel S. Weld

  • Wrapper induction for information extraction

    Nicholas Kushmerick;Daniel S. Weld

  • Unsupervised named-entity extraction from the Web: An experimental study

    Oren Etzioni;Michael Cafarella;Doug Downey;Ana-Maria Popescu

  • Guidelines for Human-AI Interaction

    Saleema Amershi;Dan Weld;Mihaela Vorvoreanu;Adam Fourney

  • TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

    Mandar Joshi;Eunsol Choi;Daniel S. Weld;Luke Zettlemoyer

  • Web-scale information extraction in knowitall: (preliminary results)

    Oren Etzioni;Michael Cafarella;Doug Downey;Stanley Kok

  • UCPOP: a sound, complete, partial order planner for ADL

    J. Scott Penberthy;Daniel S. Weld

  • Knowledge-Based Weak Supervision for Information Extraction of Overlapping Relations

    Raphael Hoffmann;Congle Zhang;Xiao Ling;Luke Zettlemoyer

  • A scalable comparison-shopping agent for the World-Wide Web

    Robert B. Doorenbos;Oren Etzioni;Daniel S. Weld

  • An Introduction to Least Commitment Planning

    Daniel S. Weld

  • Readings in qualitative reasoning about physical systems

    Daniel S. Weld;Johan de Kleer

  • A softbot-based interface to the Internet

    Oren Etzioni;Daniel Weld

  • Open Information Extraction Using Wikipedia

    Fei Wu;Daniel S. Weld

  • Scaling question answering to the Web

    Cody C. T. Kwok;Oren Etzioni;Daniel S. Weld

  • An adaptive query execution system for data integration

    Zachary G. Ives;Daniela Florescu;Marc Friedman;Alon Levy

  • CORD-19: The Covid-19 Open Research Dataset

    Lucy Lu Wang;Kyle Lo;Yoganand Chandrasekhar;Russell Reas

  • SUPPLE: automatically generating user interfaces

    Krzysztof Gajos;Daniel S. Weld

  • Intelligent agents on the Internet: Fact, fiction, and forecast

    O. Etzioni;D.S. Weld

  • Scaling question answering to the web

    Cody Kwok;Oren Etzioni;Daniel S. Weld

  • The psychology of everyday things: Donald A. Norman, (Basic Books, New York, 1988); 257 pages, $19.95

    Daniel S. Weld

Frequent Co-Authors

Oren Etzioni
Oren Etzioni University of Washington
Pedro Domingos
Pedro Domingos University of Washington
Stephen Soderland
Stephen Soderland University of Washington
Krzysztof Z. Gajos
Krzysztof Z. Gajos Harvard University
Luke Zettlemoyer
Luke Zettlemoyer University of Washington
Alon Halevy
Alon Halevy Facebook (United States)
Zachary G. Ives
Zachary G. Ives University of Pennsylvania
Eric Horvitz
Eric Horvitz Microsoft (United States)
Henry Kautz
Henry Kautz University of Virginia
Omer Levy
Omer Levy Deep Mind

External Links

Wikipedia of Daniel S. Weld Personal website of Daniel S. Weld Google Scholar page

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Best Scientists Citing Daniel S. Weld

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Subbarao Kambhampati

Arizona State University

Publications: 108

Oren Etzioni

Oren Etzioni

University of Washington

Publications: 86

Gerhard Weikum

Gerhard Weikum

Max Planck Institute for Informatics

Publications: 84

Craig A. Knoblock

Craig A. Knoblock

University of Southern California

Publications: 80

Sumit Gulwani

Sumit Gulwani

Microsoft (United States)

Publications: 58

William W. Cohen

William W. Cohen

Carnegie Mellon University

Publications: 58

Elke A. Rundensteiner

Elke A. Rundensteiner

Worcester Polytechnic Institute

Publications: 51

R. Michael Young

R. Michael Young

University of Utah

Publications: 50

Alon Halevy

Alon Halevy

Facebook (United States)

Publications: 47

Jiawei Han

Jiawei Han

University of Illinois at Urbana-Champaign

Publications: 46

Fabian M. Suchanek

Fabian M. Suchanek

Télécom ParisTech

Publications: 43

Dana S. Nau

Dana S. Nau

University of Maryland, College Park

Publications: 41

Christopher Ré

Christopher Ré

Stanford University

Publications: 40

Andrew McCallum

Andrew McCallum

University of Massachusetts Amherst

Publications: 40

Derek Long

Derek Long

King's College London

Publications: 39

Eric Horvitz

Eric Horvitz

Microsoft (United States)

Publications: 38

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