John Peterson

22 papers receiving 602 citations

Peers

John Peterson
Comparison fields: 5 of 116
  • Artificial Intelligence 305
  • Computational Theory and Mathematics 198
  • Hardware and Architecture 156
  • Computer Networks and Communications 97
  • Information Systems 66
Replace Kunal Banerjee with:
Kunal Banerjee India
Eugenio Villar Spain
Giorgio Delzanno Italy
Willem P. de Roever Netherlands
Massimo Ancona Italy
Daniel Grose Germany
Nicholas J. Dingle United Kingdom
José C. Cunha Portugal
Sheng Di United States
Dmitry A. Zaitsev Ukraine
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Citations per field
00.5×3.7×
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Citations per year

Countries citing papers authored by John Peterson

Since Specialization
Citations

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

Fields of papers citing papers by John Peterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Peterson

This figure shows the co-authorship network connecting the top 25 collaborators of John Peterson. A scholar is included among the top collaborators of John Peterson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John Peterson. John Peterson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 4
3 6
4
Radiological and Chemical Fact Sheets to Support Health Risk Analyses for Contaminated Areas
76
5
Functional Hybrid Modeling from an Object-Oriented Perspective
12
6 38
7 1
8 21
9 127
10 2
11 0
12 49
13 19
14
Principled Dynamic Code Improvement
11
15 14
16 36
17 3
18
Report on the Programming Language Haskell, A Non-strict, Purely Functional Language.
148
19 2
20 16

About John Peterson

John Peterson is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Hardware and Architecture, having authored 25 papers that have together received 685 indexed citations. Recurring topics across this work include Logic, programming, and type systems (4 papers), AI-based Problem Solving and Planning (3 papers) and Formal Methods in Verification (3 papers). The work is most often cited by research in Hardware and Architecture (156 citations), Software (51 citations) and Computational Theory and Mathematics (198 citations). John Peterson has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Henrik Nilsson, Antony Courtney, Paul Hudak, James L. Gutmann, Gregory D. Hager, Mark P. Jones, Margaret MacDonell, Lynne Haroun, Richard B. Kieburtz and Simon Jones. Their work appears in journals such as Journal of Biological Chemistry, International Endodontic Journal and Bioorganic & Medicinal Chemistry Letters.

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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