World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
8917
World Ranking
12884
National Ranking
823

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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