John P. Gallagher

78 papers receiving 980 citations

Peers

John P. Gallagher
Comparison fields: 5 of 125
  • Software 140
  • Hardware and Architecture 119
  • Computational Theory and Mathematics 261
  • Artificial Intelligence 376
  • Pediatrics, Perinatology and Child Health 206
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Countries citing papers authored by John P. Gallagher

Since Specialization
Citations

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

Fields of papers citing papers by John P. Gallagher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999123
2 1985121
3 198598
4 199379
5 199971
6 201163
7 198838
8 199135
9
Meta-Programming in Logic Progamming
199827
10 200726
11 201122
12
Some low-level source transformations of logic programs
199019
13 197719
14 201719
15 199019
16
Transforming logic programs by specialising interpreters
198618
17 200616
18 197513
19 202012
20 198212

About John P. Gallagher

John P. Gallagher is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Software, Computer Networks and Communications and Mechanics of Materials, having authored 86 papers that have together received 1.1k indexed citations. Recurring topics across this work include Logic, programming, and type systems (36 papers), Formal Methods in Verification (33 papers), Logic, Reasoning, and Knowledge (17 papers), Software Testing and Debugging Techniques (10 papers), Fatigue and fracture mechanics (7 papers), Parallel Computing and Optimization Techniques (6 papers), Green IT and Sustainability (6 papers) and High Temperature Alloys and Creep (5 papers). The work is most often cited by research in Software (140 citations), Hardware and Architecture (119 citations), Computational Theory and Mathematics (261 citations), Artificial Intelligence (376 citations) and Pediatrics, Perinatology and Child Health (206 citations). John P. Gallagher has collaborated with scholars based in Denmark, United States and Spain. Frequent co-authors include Andrew Smith, Maureen Hack, Avroy A. Fanaroff, Rachel Clark, Maurice Bruynooghe, Nicola P. Klein, Nancy Klein, Wendy Sturgess, Michael Codish and Patricia M. Hill. Their work appears in journals such as Journal of Applied Meteorology and Climatology, Instructional Science, Science of Computer Programming, ACM Transactions on Software Engineering and Methodology and International Journal of Solids and Structures.

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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