James Huggins

721 citations
23 papers · 296 · h-index 10

Impact in

Papers in

James Huggins

23 papers receiving 267 citations

Peers

James Huggins
Comparison fields: 5 of 67
  • Software 52
  • Social Psychology 88
  • Infectious Diseases 73
  • General Health Professions 83
  • Computational Theory and Mathematics 58
Replace Timothy W. Jones with:
Timothy W. Jones Australia
Karen Appleby United States
Jane Harden United Kingdom
Ari Z Klein United States
T. Lehman United States
John Oliver United States
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James E. Robertson United States
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Citations per field
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Citations per year

Countries citing papers authored by James Huggins

Since Specialization
Citations

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

Fields of papers citing papers by James Huggins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200472
2 198934
3 198928
4 199822
5
An Automatic Verification Tool for UML
200021
6
Gay men, lesbians, and bisexuals.
199920
7
Abstract State Machines 1988-1998: Commented ASM Bibliography
199817
8 199116
9 198615
10
A Semantic Model for the State Machine in the Unified Modeling Language
200012
11
Kermit: specification and verification
19956
12 20106
13 19986
14 19975
15
Execution of A Requirement Model in Software Development.
20044
16
An Abstract State Machine Primer
20024
17 20162
18
ERRATA to The Semantics of the C Programming Language
19931
19 19901
20 20191

About James Huggins

James Huggins is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Social Psychology, Software and Infectious Diseases, having authored 23 papers that have together received 296 indexed citations. Recurring topics across this work include Computability, Logic, AI Algorithms (4 papers), Logic, programming, and type systems (4 papers), Model-Driven Software Engineering Techniques (3 papers), HIV/AIDS Research and Interventions (3 papers), Adolescent Sexual and Reproductive Health (3 papers), LGBTQ Health, Identity, and Policy (3 papers), Formal Methods in Verification (3 papers) and Advanced Software Engineering Methodologies (2 papers). The work is most often cited by research in Software (52 citations), Social Psychology (88 citations), Infectious Diseases (73 citations), General Health Professions (83 citations) and Computational Theory and Mathematics (58 citations). James Huggins has collaborated with scholars based in United States. Frequent co-authors include Anthony J. Silvestre, David W. Lyter, Charles R. Rinaldo, David Van Campenhout, Wuwei Shen, Yuri Gurevich, Melanie A. Gold, Ronald O. Valdiserri, Kevin J. Compton and Nina Marković. Their work appears in journals such as Theoretical Computer Science, AIDS Education and Prevention, Journal of Community Health, ACM Transactions on Design Automation of Electronic Systems and Social Work.

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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