William Pike

1.5k citations
29 papers · 992 indexed · 1 hit paper · h-index 13

William Pike

26 papers receiving 914 citations

Hit Papers

Crowdsourcing, citizen sensing and sensor web technologie...3512011202620162021100200300

Peers

William Pike
Comparison fields: 5 of 121
  • Geography, Planning and Development 233
  • Computer Vision and Pattern Recognition 343
  • Computer Science Applications 81
  • Transportation 97
  • Information Systems and Management 86
Replace Carlos Granell with:
Carlos Granell Spain
Barbara P. Buttenfield United States
Stuart E. Middleton United Kingdom
Andrew Hudson‐Smith United Kingdom
Hansi Senaratne Germany
Isaac Brewer United States
Michael Goodchild United States
André Skupin United States
Sven Schade Italy
Frank Ostermann Netherlands
William Pike relative to Carlos Granell Spain Carlos Granell's profile →
Citations per field
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Carlos Granell · 1×
Citations per year

Countries citing papers authored by William Pike

Since Specialization
Citations

This map shows the geographic impact of William Pike's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by William Pike with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Pike more than expected).

Fields of papers citing papers by William Pike

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William Pike. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by William Pike. The network helps show where William Pike may publish in the future.

Co-authorship network

The 25 scholars most cited alongside William Pike, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with William Pike Line = papers co-authored together William Pike links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20143
3 20142
4
Crowdsourcing, citizen sensing and sensor web technologies for public and environmental health surveillance and crisis management: trends, OGC standards and application examplesbreakdown →
2011351
5 201040
6 20090
7 200921
8 2009170
9 20097
10 20093
11 20082
12 20088
13 20088
14 200824
15 200710
16 200715
17 200635
18 200636
19 2004151
20 200421

About William Pike

William Pike is a scholar working on Geography, Planning and Development, Computer Vision and Pattern Recognition and Signal Processing, having authored 29 papers that have together received 992 indexed citations. Recurring topics across this work include Data Visualization and Analytics (16 papers), Geographic Information Systems Studies (9 papers), Semantic Web and Ontologies (9 papers), Data Management and Algorithms (5 papers), Biomedical Text Mining and Ontologies (3 papers), Video Analysis and Summarization (3 papers), Scientific Computing and Data Management (3 papers) and Advanced Database Systems and Queries (2 papers). The work is most often cited by research in Geography, Planning and Development (233 citations), Computer Vision and Pattern Recognition (343 citations) and Computer Science Applications (81 citations). William Pike has collaborated with scholars based in United States, New Zealand and Canada. Frequent co-authors include Mark Gahegan, John Stasko, Theresa O'Connell, Remco Chang, Russ Burtner, John G. Breslin, Bernd Resch, Kuo-Yu Chuang, Maged N. Kamel Boulos and David N. Crowley. Their work appears in journals such as Information Visualization, International Journal of Human-Computer Studies, Computers & Geosciences, interactions and Computers Environment and Urban Systems.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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