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D-Index & Metrics

Computer Science

D-Index
33
Citations
16172
World Ranking
12341
National Ranking
4995

Daniel Gruhl 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 Gruhl 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: 140 publications — 23rd percentile

23% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Daniel Gruhl 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 Gruhl 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: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2015 - ACM Senior Member

Overview

Daniel Gruhl is a researcher affiliated with IBM in the United States. Their work primarily focuses on the field of Computer Science, with a specialization in Artificial Intelligence.

The main topics of their research include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Text and Document Classification Technologies

Daniel Gruhl has contributed to research published in recognized venues, notably:

  • arXiv (Cornell University)

Among the recent papers authored or co-authored by Daniel Gruhl is:

  • SAUCE: Truncated Sparse Document Signature Bit-Vectors for Fast Web-Scale Corpus Expansion, published in 2021 at arXiv (Cornell University)

Their frequent collaborators include:

  • Muntasir Wahed
  • Alfredo Alba
  • Anna Lisa Gentile
  • Petar Ristoski
  • Chad DeLuca

Daniel Gruhl has been recognized as an ACM Senior Member since 2015.

Best Publications

  • Techniques for data hiding

    W. Bender;D. Gruhl;N. Morimoto;Aiguo Lu

  • Information diffusion through blogspace

    Daniel Gruhl;R. Guha;David Liben-Nowell;Andrew Tomkins

  • Steps toward a science of service systems

    J. Spohrer;P.P. Maglio;J. Bailey;D. Gruhl

  • Information diffusion through blogspace

    D. Gruhl;David Liben-Nowell;R. Guha;A. Tomkins

  • Echo Hiding

    Daniel Gruhl;Anthony Lu;Walter Bender

  • SemTag and seeker: bootstrapping the semantic web via automated semantic annotation

    Stephen Dill;Nadav Eiron;David Gibson;Daniel Gruhl

  • Techniques for data hiding

    Walter R. Bender;Daniel Gruhl;Norishige Morimoto

  • The predictive power of online chatter

    Daniel Gruhl;R. Guha;Ravi Kumar;Jasmine Novak

  • Method and apparatus for data hiding in images

    Walter Bender;Norishige Morimoto;Daniel Gruhl

  • Method and apparatus for echo data hiding in audio signals

    Walter Bender;Daniel Gruhl;Norishige Morimoto

  • A Case for Automated Large Scale Semantic Annotation

    Stephen Dill;Nadav Eiron;David Gibson;Daniel Gruhl

  • Vinci: A service-oriented architecture for rapid development of Web applications

    Rakesh Agrawal;Roberto J. Bayardo;Daniel Gruhl;Spyridon Papadimitriou

  • Applications for data hiding

    W. Bender;W. Butera;D. Gruhl;R. Hwang

  • Service Science

    Unknown

  • How to build a WebFountain: An architecture for very large-scale text analytics

    D. Gruhl;L. Chavet;D. Gibson;J. Meyer

  • Method and apparatus for data hiding in printed images

    Walter Bender;Daniel Gruhl

  • System, method, and service for segmenting a topic into chatter and subtopics

    Daniel Frederick Gruhl;Ramanathan Vaidhyanath Guha;Andrew S. Tomkins

  • Method and apparatus for logo hiding in images

    Walter Bender;Norishige Morimoto;Daniel Gruhl

  • DATA STORAGE FOR A KNOWLEDGE-BASED SYSTEM FOR EXTRACTION OF INFORMATION FROM DATA

    Denisuk Matt Ju;Grul Daniel Frederik;Makkarli Kevin Snou;Mejer Dzhouerg

  • Content monitoring in a high volume on-line community application

    Daniel F. Gruhl;Kevin Haas

  • An evaluation of binary xml encoding optimizations for fast stream based xml processing

    R. J. Bayardo;D. Gruhl;V. Josifovski;J. Myllymaki

Frequent Co-Authors

Andrew Tomkins
Andrew Tomkins Google (United States)
Ramanathan V. Guha
Ramanathan V. Guha Google (United States)
Sridhar Rajagopalan
Sridhar Rajagopalan IBM (United States)
Tanveer Syeda-Mahmood
Tanveer Syeda-Mahmood IBM (United States)
Rakesh Agrawal
Rakesh Agrawal Purdue University West Lafayette
Kenneth L. Clarkson
Kenneth L. Clarkson IBM (United States)
Dharmendra S. Modha
Dharmendra S. Modha IBM (United States)
Amit P. Sheth
Amit P. Sheth University of South Carolina
Paul P. Maglio
Paul P. Maglio University of California, Merced

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