James R. Slagle

2.1k citations
79 papers · 1.2k · h-index 18

Impact in

Papers in

    • Logic, programming, and type systems 15
    • AI-based Problem Solving and Planning 12
    • Logic, Reasoning, and Knowledge 12
    • Semantic Web and Ontologies 7
    • Neural Networks and Applications 6
    • Artificial Intelligence in Games 6
    • Formal Methods in Verification 11

James R. Slagle

74 papers receiving 1.0k citations

Peers

James R. Slagle
Comparison fields: 5 of 101
  • Artificial Intelligence 840
  • Computational Theory and Mathematics 341
  • Software 69
  • Industrial and Manufacturing Engineering 86
  • Computer Networks and Communications 168
Replace Torsten Schaub with:
Torsten Schaub Germany
Ole-Johan Dahl Norway
Nina Narodytska Australia
Pietro Torasso Italy
Sicco Verwer Netherlands
Marc Denecker Belgium
Se June Hong United States
Zhiming Liu China
Roland H. C. Yap Singapore
Yün Peng China
James R. Slagle relative to Torsten Schaub Germany Torsten Schaub's profile →
Citations per field
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Citations per year

Countries citing papers authored by James R. Slagle

Since Specialization
Citations

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

Fields of papers citing papers by James R. Slagle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1974118
2 197086
3 196785
4
Artificial intelligence : the heuristic programming approach
197179
5 196973
6 197559
7 197158
8 198848
9 198945
10 196543
11 198535
12 196834
13 197231
14 197129
15
Completeness theorems for semantic resolution in consequence-finding
196923
16 196423
17 200222
18 197419
19 199017
20 197016

About James R. Slagle

James R. Slagle is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Computer Networks and Communications and Information Systems, having authored 79 papers that have together received 1.2k indexed citations. Recurring topics across this work include Logic, programming, and type systems (15 papers), AI-based Problem Solving and Planning (12 papers), Logic, Reasoning, and Knowledge (12 papers), Formal Methods in Verification (11 papers), Semantic Web and Ontologies (7 papers), Neural Networks and Applications (6 papers), Artificial Intelligence in Games (6 papers) and Scientific Computing and Data Management (5 papers). The work is most often cited by research in Artificial Intelligence (840 citations), Computational Theory and Mathematics (341 citations), Software (69 citations), Industrial and Manufacturing Engineering (86 citations) and Computer Networks and Communications (168 citations). James R. Slagle has collaborated with scholars based in United States, Hong Kong and Ireland. Frequent co-authors include C. L. Chang, Michael R. Wick, John E. Dixon, Stephen R. Heller, Henry Hamburger, Richard C. T. Lee, Maria Gini, Dean F. Hougen, Henry J. Shine and John Dixon. Their work appears in journals such as Journal of the ACM, Communications of the ACM, Pattern Recognition, AI Magazine and Information Sciences.

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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