John Power

4.7k citations
135 papers · 2.9k · h-index 28

Impact in

Papers in

John Power

133 papers receiving 2.7k citations

Peers

John Power
Comparison fields: 5 of 66
  • Computational Theory and Mathematics 1.6k
  • Mathematical Physics 784
  • Artificial Intelligence 2.4k
  • Algebra and Number Theory 300
  • Geometry and Topology 545
Replace Thierry Coquand with:
Thierry Coquand Sweden
Jean-Louis Krivine France
Ernest G. Manes United States
R. F. C. Walters Australia
Yves Lafont France
Achim Jung United Kingdom
Andrew M. Pitts United Kingdom
G. E. Strecker United States
J. M. E. Hyland United Kingdom
G. M. Kelly Australia
John Power relative to Thierry Coquand Sweden Thierry Coquand's profile →
Citations per field
00.5×1.5×2.5×
Thierry Coquand · 1×
Citations per year

Countries citing papers authored by John Power

Since Specialization
Citations

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

Fields of papers citing papers by John Power

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 135 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002192
2 2003188
3 1989167
4 1997165
5 1993130
6 2006122
7 200397
8 200190
9 200480
10 200768
11 200258
12 199053
13 198951
14 200050
15 199949
16 200147
17 198941
18 200636
19 200235
20 200434

About John Power

John Power is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Mathematical Physics, Geometry and Topology and Computer Networks and Communications, having authored 135 papers that have together received 2.9k indexed citations. Recurring topics across this work include Logic, programming, and type systems (102 papers), Logic, Reasoning, and Knowledge (81 papers), Homotopy and Cohomology in Algebraic Topology (52 papers), Formal Methods in Verification (23 papers), Advanced Algebra and Logic (19 papers), Algebraic structures and combinatorial models (16 papers), Computability, Logic, AI Algorithms (13 papers) and Semantic Web and Ontologies (13 papers). The work is most often cited by research in Computational Theory and Mathematics (1.6k citations), Mathematical Physics (784 citations), Artificial Intelligence (2.4k citations), Algebra and Number Theory (300 citations) and Geometry and Topology (545 citations). John Power has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Gordon Plotkin, Martin Hyland, G. M. Kelly, E. Powell Robinson, Hiroshi Watanabe, Robert Blackwell, Hayo Thielecke, Paul Blain Levy, R. D. Tennent and Marina Lenisa. Their work appears in journals such as Journal of Pure and Applied Algebra, Theoretical Computer Science, Electronic Notes in Theoretical Computer Science, Mathematical Structures in Computer Science and Information and Computation.

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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