John W. Lloyd
- Artificial Intelligence top 0.1%
- Computational Theory and Mathematics top 0.1%
- Computer Networks and Communications top 1%
- Information Systems top 1%
- Signal Processing top 2%
- Co-authors
- Rodney ToporNathan F. LeporaJ. C. ShepherdsonPatricia M. HillKotagiri RamamohanaraoAhmed GuessoumThomas GärtnerPeter Flach
- Topics
- Logic, Reasoning, and Knowledge (28 papers)Logic, programming, and type systems (14 papers)Semantic Web and Ontologies (12 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
John W. Lloyd
79 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Artificial Intelligence 4.7k
- Computational Theory and Mathematics 2.0k
- Computer Networks and Communications 1.3k
- Information Systems 687
- Signal Processing 449
Countries citing papers authored by John W. Lloyd
This map shows the geographic impact of John W. Lloyd'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 W. Lloyd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John W. Lloyd more than expected).
Fields of papers citing papers by John W. Lloyd
This network shows the impact of papers produced by John W. Lloyd. 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 W. Lloyd. The network helps show where John W. Lloyd may publish in the future.
Co-authorship network of co-authors of John W. Lloyd
This figure shows the co-authorship network connecting the top 25 collaborators of John W. Lloyd. A scholar is included among the top collaborators of John W. Lloyd based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John W. Lloyd. John W. Lloyd is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 10 | |
| 3 | 34 | |
| 4 | 11 | |
| 5 | 5 | |
| 6 | 40 | |
| 7 | 25 | |
| 8 | 79 | |
| 9 | 23 | |
| 10 | Symbolic Learning for Adaptive Agents | 6 |
| 11 | Predicate Construction in Higher-order Logic. | 6 |
| 12 | 3 | |
| 13 | CP Debugging Needs and Tools | 3 |
| 14 | The Go¨del programming language | 75 |
| 15 | Combining functional and logic programming languages | 15 |
| 16 | A partial evaluation procedure for logic programs | 25 |
| 17 | Logic as a Foundation for Deductive Database Systems. | 1 |
| 18 | A Logical Reconstruction of Prolog II. | 1 |
| 19 | An Introduction to Deductive Database Systems. | 18 |
| 20 | Completeness of the negation as failure rule | 44 |
About John W. Lloyd
John W. Lloyd is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Software, having authored 82 papers that have together received 5.7k indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (28 papers), Logic, programming, and type systems (14 papers) and Semantic Web and Ontologies (12 papers). The work is most often cited by research in Artificial Intelligence (4.7k citations), Computational Theory and Mathematics (2.0k citations) and Software (377 citations). John W. Lloyd has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Rodney Topor, Nathan F. Lepora, J. C. Shepherdson, Patricia M. Hill, Kotagiri Ramamohanarao, Ahmed Guessoum, Thomas Gärtner, Peter Flach, Raia Hadsell and Graeme Barker. Their work appears in journals such as British Journal Of Nutrition, The International Journal of Robotics Research and Machine Learning.
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.