World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
8917
World Ranking
12881
National Ranking
820

Peter Mika 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 Peter Mika 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: 118 publications — 14th percentile

14% of scientists in this discipline score the same or lower.

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

Peter Mika 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 Peter Mika 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Peter Mika is a researcher affiliated with Yahoo in the United Kingdom. Their work spans multiple disciplines including Agricultural and Biological Sciences, Computer Science, and Environmental Science. Within these broad fields, Mika has contributed to several specialized subfields such as Soil Science, Information Systems, and Environmental Chemistry.

Their research interests focus on topics related to Soil Carbon and Nitrogen Dynamics, Soil and Water Nutrient Dynamics, Soil erosion and sediment transport, Web Data Mining and Analysis, and Expert finding and Q&A systems. This interdisciplinary approach combines environmental science with computational methods.

Mika has published work primarily in the venue Preprints.org. Their recent publication is titled Geologic Soil Parent Material Influence on Forest Surface Soil Chemical Characteristics in the Inland Northwest, USA, published in 2022. This paper contributes to understanding soil chemical characteristics influenced by geological factors.

The scientist collaborates frequently with other researchers, including James A. Moore, Mark Kimsey, Mariann Johnston, Terry M. Shaw, and And Jaslam Poolakkal. These collaborations reflect both environmental science and computer science domains.

  • Main fields of study: Agricultural and Biological Sciences, Computer Science, Environmental Science
  • Subfields of study: Soil Science, Information Systems, Environmental Chemistry
  • Main topics of work: Soil Carbon and Nitrogen Dynamics, Soil and Water Nutrient Dynamics, Soil erosion and sediment transport, Web Data Mining and Analysis, Expert finding and Q&A systems
  • Recent papers: Geologic Soil Parent Material Influence on Forest Surface Soil Chemical Characteristics in the Inland Northwest, USA (2022, Preprints.org)
  • Frequent co-authors: James A. Moore, Mark Kimsey, Mariann Johnston, Terry M. Shaw, And Jaslam Poolakkal
  • Frequent publication venues: Preprints.org

Best Publications

  • Ontologies are us: A unified model of social networks and semantics

    Peter Mika

  • The Semantic Web - ISWC 2006

    Isabel Cruz;Stefan Decker;Dean Allemang;Chris Preist

  • Ontologies are us: a unified model of social networks and semantics

    Peter Mika

  • Flink: Semantic Web technology for the extraction and analysis of social networks

    Peter Mika

  • Social Networks and the Semantic Web

    Peter Mika

  • Understanding the Semantic Web through Descriptions and Situations

    Aldo Gangemi;Peter Mika

  • The Semantic Web - Iswc 2010

    Peter F. Patel-Schneider;Yue Pan;Pascal Hitzler;Peter Mika

  • Bibster: a semantics-based bibliographic peer-to-peer system

    Peter Haase;Jeen Broekstra;Marc Ehrig;Maarten Menken

  • Social networks applied

    S. Staab;P. Domingos;P. Mike;J. Golbeck

  • Ad-hoc object retrieval in the web of data

    Jeffrey Pound;Peter Mika;Hugo Zaragoza

  • The Semantic Web – ISWC 2010: 9th International Semantic Web Conference, ISWC 2010, Shanghai, China, November 7-11, 2010, Revised Selected Papers, Part I

    Unknown

  • Bibster-a semantics-based bibliographic Peer-to-Peer system

    Peter Haase;Björn Schnizler;Jeen Broekstra;Marc Ehrig

  • Web Semantics in the Clouds

    P. Mika;G. Tummarello

  • Effective and efficient entity search in RDF data

    Roi Blanco;Peter Mika;Sebastiano Vigna

  • Entity Recommendations in Web Search

    Roi Blanco;Berkant Barla Cambazoglu;Peter Mika;Nicolas Torzec

  • Foundations for service ontologies: aligning OWL-S to dolce

    Peter Mika;Daniel Oberle;Aldo Gangemi;Marta Sabou

  • Making sense of twitter

    David Laniado;Peter Mika

  • Ranking very many typed entities on wikipedia

    Hugo Zaragoza;Henning Rode;Peter Mika;Jordi Atserias

  • Repeatable and reliable search system evaluation using crowdsourcing

    Roi Blanco;Harry Halpin;Daniel M. Herzig;Peter Mika

  • Social Networks and the Semantic Web

    Unknown

  • Entity Search Evaluation over Structured Web Data

    Roi Blanco;Harry Halpin;Daniel M. Herzig;Peter Mika

  • Metadata Statistics for a Large Web Corpus.

    Peter Mika;Tim Potter

  • Foundations for Service Ontologies

    Peter Mika;Daniel Oberle;Aldo Gangemi;Marta Sabou

Frequent Co-Authors

Hugo Zaragoza
Hugo Zaragoza Amazon (United States)
Aldo Gangemi
Aldo Gangemi University of Bologna
Christian Bizer
Christian Bizer University of Mannheim
Isabel F. Cruz
Isabel F. Cruz University of Illinois at Chicago
Abraham Bernstein
Abraham Bernstein University of Zurich
Jaap Kamps
Jaap Kamps University of Amsterdam
Harith Alani
Harith Alani The Open University
Marta Sabou
Marta Sabou Vienna University of Economics and Business
Vanessa Murdock
Vanessa Murdock Amazon (United States)
Massimiliano Ciaramita
Massimiliano Ciaramita Google (United States)

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