Peter Chapman

46 papers receiving 813 citations

Peers

Peter Chapman
Comparison fields: 5 of 114
  • Software 51
  • Signal Processing 118
  • Pollution 115
  • Environmental Engineering 128
  • Renewable Energy, Sustainability and the Environment 136
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Citations per year

Countries citing papers authored by Peter Chapman

Since Specialization
Citations

This map shows the geographic impact of Peter Chapman'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 Peter Chapman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Chapman more than expected).

Fields of papers citing papers by Peter Chapman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Chapman. 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 Peter Chapman. The network helps show where Peter Chapman may publish in the future.

Co-authors

The 25 scholars most cited alongside Peter Chapman, 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 Peter Chapman Line = papers co-authored together Peter Chapman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1974112
2 2010105
3 201864
4 197458
5 197551
6
PicoCTF: A Game-Based Computer Security Competition for High School Students
201446
7 201145
8 197539
9 199639
10
Privacy-preserving applications on smartphones
201136
11 201529
12 200928
13 200723
14 201022
15 199720
16 197620
17 200318
18
Automatic Problem Generation for Capture-the-Flag Competitions
201517
19 199416
20 200615

About Peter Chapman

Peter Chapman is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition, Management of Technology and Innovation and Computer Networks and Communications, having authored 52 papers that have together received 904 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (9 papers), Data Visualization and Analytics (8 papers), Product Development and Customization (5 papers), Semantic Web and Ontologies (4 papers), Flexible and Reconfigurable Manufacturing Systems (4 papers), Advanced Database Systems and Queries (3 papers), Global Energy and Sustainability Research (3 papers) and Energy, Environment, and Transportation Policies (3 papers). The work is most often cited by research in Software (51 citations), Signal Processing (118 citations), Pollution (115 citations), Environmental Engineering (128 citations) and Renewable Energy, Sustainability and the Environment (136 citations). Peter Chapman has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include David Evans, David Brumley, Pernille Thorbek, Volker Grimm, Amélie Schmolke, Gerald Leach, Malcolm Slesser, Manuel Egele, Maverick Woo and Gem Stapleton. Their work appears in journals such as Energy Policy, Environmental Toxicology and Chemistry, Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture, Long Range Planning and Energy and Buildings.

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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