John Power

4.9k citations
131 papers · 3.4k · h-index 28

Impact in

Papers in

John Power

128 papers receiving 3.1k citations

Peers

John Power
Comparison fields: 5 of 29
  • Artificial Intelligence 2.7k
  • Mathematical Physics 724
  • Computational Theory and Mathematics 518
  • Geometry and Topology 220
  • Algebra and Number Theory 56
Replace Aurelio Carboni with:
Aurelio Carboni Italy
Jean-Louis Krivine France
Stephen Lack Australia
J.R.B. Cockett Canada
Walter Tholen Canada
Jean Bénabou France
Horst Herrlich Germany
Kenneth Kunen United States
Yves Lafont France
Hanamantagouda P. Sankappanavar United States
John Power relative to Aurelio Carboni Italy Aurelio Carboni's profile →
Citations per field
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Aurelio Carboni · 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 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995226
2 2002213
3 2003202
4 1989184
5 1997174
6 1993138
7 2006138
8 2003112
9 2001103
10 200481
11 200775
12 200265
13 199059
14 198955
15 200051
16 199949
17 200149
18 198947
19 200241
20 200641

About John Power

John Power is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Mathematical Physics, Software and Geometry and Topology, having authored 131 papers that have together received 3.4k indexed citations. Recurring topics across this work include Logic, programming, and type systems (116 papers), Advanced Algebra and Logic (31 papers), Homotopy and Cohomology in Algebraic Topology (27 papers), Algebraic structures and combinatorial models (6 papers), Model-Driven Software Engineering Techniques (6 papers), Logic, Reasoning, and Knowledge (4 papers), semigroups and automata theory (2 papers) and Formal Methods in Verification (1 paper). The work is most often cited by research in Artificial Intelligence (2.7k citations), Mathematical Physics (724 citations), Computational Theory and Mathematics (518 citations), Geometry and Topology (220 citations) and Algebra and Number Theory (56 citations). John Power has collaborated with scholars based in United Kingdom, Japan and United States. Frequent co-authors include Gordon D. Plotkin, Martin Hyland, G. M. Kelly, E. Powell Robinson, Ross Street, Hiroshi Watanabe, Hayo Thielecke, Paul Blain Levy, Robert 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, Information and Computation and Mathematical Structures in Computer Science.

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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