World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
15489
World Ranking
11871
National Ranking
4840

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.

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: 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.

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.

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

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
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

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Related Online Degrees & Career Pathways

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