John W. Lloyd

12.3k total citations · 3 hit papers
82 papers, 5.7k citations indexed

About

John W. Lloyd is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Biomedical Engineering. According to data from OpenAlex, John W. Lloyd has authored 82 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Artificial Intelligence, 22 papers in Computational Theory and Mathematics and 13 papers in Biomedical Engineering. Recurrent topics in John W. Lloyd's work include Logic, Reasoning, and Knowledge (28 papers), Logic, programming, and type systems (14 papers) and Semantic Web and Ontologies (12 papers). John W. Lloyd is often cited by papers focused on Logic, Reasoning, and Knowledge (28 papers), Logic, programming, and type systems (14 papers) and Semantic Web and Ontologies (12 papers). John W. Lloyd collaborates with scholars based in Australia, United Kingdom and United States. John W. Lloyd's 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 and has published in prestigious journals such as British Journal Of Nutrition, The International Journal of Robotics Research and Machine Learning.

In The Last Decade

John W. Lloyd

79 papers receiving 5.0k citations

Hit Papers

Foundations of Logic Programming 1984 2026 1998 2012 1984 1987 1987 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John W. Lloyd Australia 26 4.7k 2.0k 1.3k 687 449 82 5.7k
Patrick Lincoln United States 26 2.1k 0.4× 911 0.5× 1.0k 0.8× 768 1.1× 445 1.0× 77 3.1k
Richard E. Korf United States 35 3.7k 0.8× 473 0.2× 2.1k 1.6× 252 0.4× 366 0.8× 119 5.2k
Michael J. Fischer United States 25 2.4k 0.5× 1.0k 0.5× 1.3k 1.0× 600 0.9× 310 0.7× 70 4.1k
Raymond Reiter Canada 32 6.1k 1.3× 1.4k 0.7× 1.2k 0.9× 772 1.1× 322 0.7× 61 7.2k
A. W. Roscoe United Kingdom 26 1.9k 0.4× 1.9k 1.0× 1.0k 0.8× 892 1.3× 208 0.5× 103 3.7k
Yoram Moses Israel 23 2.4k 0.5× 1.1k 0.6× 1.3k 1.0× 246 0.4× 204 0.5× 93 4.3k
Paul Hudak United States 32 2.9k 0.6× 1.5k 0.8× 2.2k 1.7× 923 1.3× 232 0.5× 101 5.2k
Norman I. Adams United States 17 1.1k 0.2× 403 0.2× 1.3k 1.0× 783 1.1× 236 0.5× 21 3.3k
Danny Dolev Israel 42 3.9k 0.8× 1.4k 0.7× 8.4k 6.5× 3.4k 5.0× 542 1.2× 200 10.4k
Richard E. Stearns United States 31 1.8k 0.4× 2.4k 1.2× 693 0.5× 138 0.2× 111 0.2× 94 4.1k

Countries citing papers authored by John W. Lloyd

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Lloyd, John W., et al.. (2023). Bi-Touch: Bimanual Tactile Manipulation With Sim-to-Real Deep Reinforcement Learning. IEEE Robotics and Automation Letters. 8(9). 5472–5479. 24 indexed citations
2.
Lloyd, John W., et al.. (2023). Sim-to-Real Model-Based and Model-Free Deep Reinforcement Learning for Tactile Pushing. IEEE Robotics and Automation Letters. 8(9). 5480–5487. 10 indexed citations
3.
Lloyd, John W., et al.. (2022). Tactile Gym 2.0: Sim-to-Real Deep Reinforcement Learning for Comparing Low-Cost High-Resolution Robot Touch. IEEE Robotics and Automation Letters. 7(4). 10754–10761. 34 indexed citations
4.
Zhang, Dandan, et al.. (2022). One-Shot Domain-Adaptive Imitation Learning via Progressive Learning Applied to Robotic Pouring. IEEE Transactions on Automation Science and Engineering. 21(1). 541–554. 11 indexed citations
5.
Elkington, Michael, Benjamin Ward-Cherrier, Nicholas Pestell, et al.. (2021). Real time defect detection during composite layup via Tactile Shape Sensing. Science and Engineering of Composite Materials. 28(1). 1–10. 5 indexed citations
6.
Lepora, Nathan F. & John W. Lloyd. (2020). Optimal Deep Learning for Robot Touch: Training Accurate Pose Models of 3D Surfaces and Edges. IEEE Robotics & Automation Magazine. 27(2). 66–77. 40 indexed citations
7.
Lloyd, John W., et al.. (2020). Deep Reinforcement Learning for Tactile Robotics: Learning to Type on a Braille Keyboard. IEEE Robotics and Automation Letters. 5(4). 6145–6152. 25 indexed citations
8.
Lepora, Nathan F., et al.. (2019). From Pixels to Percepts: Highly Robust Edge Perception and Contour Following Using Deep Learning and an Optical Biomimetic Tactile Sensor. IEEE Robotics and Automation Letters. 4(2). 2101–2107. 79 indexed citations
9.
Pestell, Nicholas, John W. Lloyd, Jonathan Rossiter, & Nathan F. Lepora. (2018). Dual-Modal Tactile Perception and Exploration. IEEE Robotics and Automation Letters. 3(2). 1033–1040. 23 indexed citations
10.
Lloyd, John W., et al.. (2003). Symbolic Learning for Adaptive Agents. 6 indexed citations
11.
Lloyd, John W.. (2000). Predicate Construction in Higher-order Logic.. KTH Publication Database DiVA (KTH Royal Institute of Technology). 4. 21–33. 6 indexed citations
13.
Aggoun, Abderrahmane, et al.. (1997). CP Debugging Needs and Tools. UPM Digital Archive (Technical University of Madrid). 3 indexed citations
14.
Hill, Patricia M. & John W. Lloyd. (1994). The Go¨del programming language. Explore Bristol Research. 75 indexed citations
15.
Lloyd, John W.. (1994). Combining functional and logic programming languages. Bristol Research (University of Bristol). 43–57. 15 indexed citations
16.
Lloyd, John W., et al.. (1990). A partial evaluation procedure for logic programs. 343–358. 25 indexed citations
17.
Lloyd, John W.. (1989). Logic as a Foundation for Deductive Database Systems.. IFIP Congress. 323–324. 1 indexed citations
18.
Emden, M. H. van & John W. Lloyd. (1984). A Logical Reconstruction of Prolog II.. International Conference on Lightning Protection. 35–40. 1 indexed citations
19.
Lloyd, John W.. (1983). An Introduction to Deductive Database Systems.. Australian Computer Journal. 15. 52–57. 18 indexed citations
20.
Jaffar, Joxan, Jean-Louis Lassez, & John W. Lloyd. (1983). Completeness of the negation as failure rule. International Joint Conference on Artificial Intelligence. 500–506. 44 indexed citations

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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