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Stephen Soderland

D-Index & Metrics

Discipline name D-Index World Ranking National Ranking Publications Citations
Computer Science 34 11871 4840 62 15489

Stephen Soderland publications per year

The chart shows the history of publications by Stephen Soderland between 1992 and 2016, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Stephen Soderland published across 25 years, from 1992 to 2016, averaging 2.5 papers a year. Output peaked at 8 publications in 2010. 4 of the 62 publications appeared in the last two years.

No. of publications
2 4 6 8
Bar chart. Horizontal axis: year, 1992 to 2016. Vertical axis: number of publications, 0 to 8. Peak 8 publications in 2010. 1992: 2 publications 1993: 2 publications 1994: 2 publications 1995: 3 publications 1996: 0 publications 1997: 1 publication 1998: 1 publication 1999: 1 publication 2000: 0 publications 2001: 0 publications 2002: 0 publications 2003: 1 publication 2004: 6 publications 2005: 3 publications 2006: 3 publications 2007: 5 publications 2008: 5 publications 2009: 4 publications 2010: 8 publications 2011: 3 publications 2012: 3 publications 2013: 3 publications 2014: 2 publications 2015: 2 publications 2016: 2 publications
1992 2016

62 publications in total across all disciplines

View publications per year as a table
Stephen Soderland: publications per year, 1992 to 2016
Year Publications
1992 2
1993 2
1994 2
1995 3
1996 0
1997 1
1998 1
1999 1
2000 0
2001 0
2002 0
2003 1
2004 6
2005 3
2006 3
2007 5
2008 5
2009 4
2010 8
2011 3
2012 3
2013 3
2014 2
2015 2
2016 2
Total 62
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Stephen Soderland 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 Stephen Soderland 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, 62–71 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: 62 publications — 1st percentile

1% 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 62
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
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

Stephen Soderland 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 Stephen Soderland 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
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Overview

Stephen Soderland was affiliated with the University of Washington in the United States during their academic career. The available data does not include specific publications, coauthors, or topics of research associated with their work, nor details on fields or subfields of study.

There is no record of recent papers, frequent coauthors, or common publication venues linked to Stephen Soderland. Similarly, data regarding book publications or awards received is not present.

The absence of detailed information about subjects or thematic areas of research means that no specific scientific disciplines or topics can be outlined in relation to their contributions. The profile reflects a lack of accessible bibliographic or citation data.

Stephen Soderland is deceased, and all references to their career and work are presented in the past tense to reflect this status.

Best Publications

  • Open information extraction from the web

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

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

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

  • Identifying Relations for Open Information Extraction

    Anthony Fader;Stephen Soderland;Oren Etzioni

  • Learning Information Extraction Rules for Semi-Structured and Free Text

    Stephen Soderland

  • Open information extraction from the web

    Michele Banko;Michael J. Cafarella;Stephen Soderland;Matt Broadhead

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

    Oren Etzioni;Michael Cafarella;Doug Downey;Stanley Kok

  • Open Language Learning for Information Extraction

    Michael Schmitz;Stephen Soderland;Robert Bart

  • Open information extraction: the second generation

    Oren Etzioni;Anthony Fader;Janara Christensen;Stephen Soderland

  • TextRunner: Open Information Extraction on the Web

    Alexander Yates;Michele Banko;Matthew Broadhead;Michael Cafarella

  • Learning to extract text-based information from the World Wide Web

    Stephen Soderland

  • A probabilistic model of redundancy in information extraction

    Doug Downey;Oren Etzioni;Stephen Soderland

  • Methods for domain-independent information extraction from the web: an experimental comparison

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

  • KnowItNow: Fast, Scalable Information Extraction from the Web

    Michael J. Cafarella;Doug Downey;Stephen Soderland;Oren Etzioni

  • An analysis of open information extraction based on semantic role labeling

    Janara Christensen;Stephen Soderland;Oren Etzioni

  • Towards Coherent Multi-Document Summarization

    Janara Christensen;Stephen Soderland;Oren Etzioni

  • What Is This, Anyway: Automatic Hypernym Discovery.

    Alan Ritter;Stephen Soderland;Oren Etzioni

  • Description of the UMass system as used for MUC-6

    Unknown

  • Generating Coherent Event Schemas at Scale

    Niranjan Balasubramanian;Stephen Soderland;Oren Etzioni

  • Semantic Role Labeling for Open Information Extraction

    Janara Christensen;Stephen Soderland;Oren Etzioni

  • Adapting Open Information Extraction to Domain-Specific Relations

    Stephen Soderland;Brendan Roof;Bo Qin;Shi Xu

  • University of Massachusetts: description of the CIRCUS system as used for MUC-4

    W. Lehnert;C. Cardie;D. Fisher;J. McCarthy

  • Methods for domain-independent information extraction from the web

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

Frequent Co-Authors

Oren Etzioni
Oren Etzioni University of Washington
Daniel S. Weld
Daniel S. Weld University of Washington
Michael Cafarella
Michael Cafarella MIT
Alan Ritter
Alan Ritter Georgia Institute of Technology
Ronen Feldman
Ronen Feldman Hebrew University of Jerusalem
Jeff A. Bilmes
Jeff A. Bilmes University of Washington
Mausam Mausam
Mausam Mausam University of Washington
Katrin Kirchhoff
Katrin Kirchhoff Amazon (United States)
Hannaneh Hajishirzi
Hannaneh Hajishirzi University of Washington
Pedro Domingos
Pedro Domingos University of Washington

External Links

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Related Online Degrees & Career Pathways

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Exploring these online degree options can help you diversify your learning and unlock new areas of expertise, creating a strong foundation for an evolving career in technology.

Best Scientists Citing Stephen Soderland

Gerhard Weikum

Gerhard Weikum

Max Planck Institute for Informatics

Publications: 92

Oren Etzioni

Oren Etzioni

University of Washington

Publications: 49

Jiawei Han

Jiawei Han

University of Illinois at Urbana-Champaign

Publications: 49

Fabian M. Suchanek

Fabian M. Suchanek

Télécom ParisTech

Publications: 47

Dan Roth

Dan Roth

University of Pennsylvania

Publications: 38

Xiang Ren

Xiang Ren

University of Southern California

Publications: 32

Heng Ji

Heng Ji

University of Illinois at Urbana-Champaign

Publications: 31

Andrew McCallum

Andrew McCallum

University of Massachusetts Amherst

Publications: 30

Roberto Navigli

Roberto Navigli

Sapienza University of Rome

Publications: 30

Daniel S. Weld

Daniel S. Weld

University of Washington

Publications: 29

Ido Dagan

Ido Dagan

Bar-Ilan University

Publications: 28

William W. Cohen

William W. Cohen

Carnegie Mellon University

Publications: 27

Partha Pratim Talukdar

Partha Pratim Talukdar

Indian Institute of Science

Publications: 26

Benjamin Van Durme

Benjamin Van Durme

Johns Hopkins University

Publications: 26

Fabio Ciravegna

Fabio Ciravegna

University of Turin

Publications: 25

Craig A. Knoblock

Craig A. Knoblock

University of Southern California

Publications: 25

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