Paul Higgins

1.1k citations
53 papers · 674 · h-index 16

Impact in

Papers in

Paul Higgins

50 papers receiving 546 citations

Peers

Paul Higgins
Comparison fields: 5 of 108
  • Algebra and Number Theory 183
  • Geometry and Topology 247
  • Discrete Mathematics and Combinatorics 76
  • Mathematical Physics 187
  • Public Administration 46
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Jack Porter United States
James Alexander Türkiye
K.H. Kim United States
Stephen M. Tanny Canada
Konrad Raczkowski Poland
Peter I. Hajnal Hungary
Robin Brooks United States
Bernard Perron Canada
Juan Fernández Sánchez Spain
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Citations per field
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Citations per year

Countries citing papers authored by Paul Higgins

Since Specialization
Citations

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

Fields of papers citing papers by Paul Higgins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Paul Higgins, 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 Paul Higgins Line = papers co-authored together Paul Higgins links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1956129
2 195447
3 196430
4 197530
5 201127
6 197626
7 197425
8 201324
9 198923
10 200723
11 201221
12 201219
13 200518
14 196916
15 200415
16 200515
17 196614
18 202014
19 199612
20 200910

About Paul Higgins

Paul Higgins is a scholar working on Public Administration, Sociology and Political Science, Political Science and International Relations, Computational Mechanics and Discrete Mathematics and Combinatorics, having authored 53 papers that have together received 674 indexed citations. Recurring topics across this work include Urban, Neighborhood, and Segregation Studies (6 papers), Labor Movements and Unions (6 papers), Finite Group Theory Research (4 papers), Advanced Numerical Methods in Computational Mathematics (4 papers), Public Policy and Administration Research (4 papers), Psychological Well-being and Life Satisfaction (3 papers), Health disparities and outcomes (3 papers) and Advanced Topics in Algebra (3 papers). The work is most often cited by research in Algebra and Number Theory (183 citations), Geometry and Topology (247 citations), Discrete Mathematics and Combinatorics (76 citations), Mathematical Physics (187 citations) and Public Administration (46 citations). Paul Higgins has collaborated with scholars based in United Kingdom, Hong Kong and Australia. Frequent co-authors include Ian Roper, Li‐fang Zhang, Philip James, Roger C. Lyndon, N. D. Gilbert, Wanxin Li, Josep M. Campanera, Wayne Read, Jim Browne and Michael L. Cunningham. Their work appears in journals such as Bulletin of the London Mathematical Society, Journal of Algebra, Journal of the London Mathematical Society, Journal of Engineering Mathematics and Local Government Studies.

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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