Richard O’Keefe

820 citations
30 papers · 389 · h-index 12

Impact in

Papers in

    • Logic, programming, and type systems 7
    • Logic, Reasoning, and Knowledge 4
    • Algorithms and Data Compression 3
    • Natural Language Processing Techniques 3
    • Data Mining Algorithms and Applications 3

Richard O’Keefe

28 papers receiving 315 citations

Peers

Richard O’Keefe
Comparison fields: 5 of 53
  • Computational Theory and Mathematics 161
  • Software 36
  • Artificial Intelligence 285
  • Information Systems 91
  • Signal Processing 43
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Citations per year

Countries citing papers authored by Richard O’Keefe

Since Specialization
Citations

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

Fields of papers citing papers by Richard O’Keefe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard O’Keefe. 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 Richard O’Keefe. The network helps show where Richard O’Keefe may publish in the future.

Co-authors

The 22 scholars most cited alongside Richard O’Keefe, 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 Richard O’Keefe Line = papers co-authored together Richard O’Keefe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984109
2
The Simplest Query Language That Could Possibly Work
200440
3
Towards an Algebra for Constructing Logic Programs.
198536
4
Efficient Implementation of a Defensible Semantics for Dynamic PROLOG Code.
198727
5 201223
6 201517
7 198916
8 200715
9
Finite Fixed-Point Problems.
198714
10
On the Treatment of Cuts in Prolog Source-Level Tools.
198514
11 201314
12 200611
13 20087
14 20127
15 20017
16
A new data-structure for type trees
19844
17
Concept formation from very large training sets
19834
18 19834
19
A Polymorphic Type System for Prolog.
19834
20 20013

About Richard O’Keefe

Richard O’Keefe is a scholar working on Artificial Intelligence, Information Systems, Computational Theory and Mathematics, Computer Networks and Communications and Software, having authored 30 papers that have together received 389 indexed citations. Recurring topics across this work include Logic, programming, and type systems (7 papers), Advanced Database Systems and Queries (4 papers), Logic, Reasoning, and Knowledge (4 papers), Model-Driven Software Engineering Techniques (3 papers), Data Mining Algorithms and Applications (3 papers), Algorithms and Data Compression (3 papers), Natural Language Processing Techniques (3 papers) and Rough Sets and Fuzzy Logic (3 papers). The work is most often cited by research in Computational Theory and Mathematics (161 citations), Software (36 citations), Artificial Intelligence (285 citations), Information Systems (91 citations) and Signal Processing (43 citations). Richard O’Keefe has collaborated with scholars based in New Zealand, United Kingdom and United States. Frequent co-authors include Alan Mycroft, Andrew Trotman, Yun Sing Koh, Nathan Rountree, Samuel L. Seward, Matt Crane, Leon Sterling, Alan Bundy, Laura Pinsky and Jeffrey D. Klausner. Their work appears in journals such as ACM SIGPLAN Notices, Theory and Practice of Logic Programming, Journal of American College Health, IEEE Aerospace and Electronic Systems Magazine and Journal for the Study of the Old Testament.

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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