Andrew Cropper

425 total citations
19 papers, 84 citations indexed

About

Andrew Cropper is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Andrew Cropper has authored 19 papers receiving a total of 84 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 6 papers in Information Systems and 3 papers in Computational Theory and Mathematics. Recurrent topics in Andrew Cropper's work include Machine Learning and Algorithms (7 papers), Logic, Reasoning, and Knowledge (6 papers) and Logic, programming, and type systems (6 papers). Andrew Cropper is often cited by papers focused on Machine Learning and Algorithms (7 papers), Logic, Reasoning, and Knowledge (6 papers) and Logic, programming, and type systems (6 papers). Andrew Cropper collaborates with scholars based in United Kingdom, United States and Netherlands. Andrew Cropper's co-authors include Stephen Muggleton, Sebastijan Dumančić, Kevin Ellis, Stephen W. Nesbitt, Steven T. Piantadosi, Joshua Rule, Matti Järvisalo, Gudmund Grov, Alan Bundy and Maxwell Nye and has published in prestigious journals such as Nature Communications, Machine Learning and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

Andrew Cropper

14 papers receiving 80 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andrew Cropper United Kingdom	5	74	14	11	6	6	19	84
Krasimir Angelov Sweden	7	81 1.1×	14 1.0×	13 1.2×	5 0.8×	5 0.8×	21	103
Kshitij Fadnis United States	4	50 0.7×	5 0.4×	7 0.6×	3 0.5×	7 1.2×	13	61
Aman Madaan United States	5	107 1.4×	23 1.6×	6 0.5×	6 1.0×	18 3.0×	9	143
Feng-Hao Liu United States	4	57 0.8×	15 1.1×	14 1.3×	10 1.7×	4 0.7×	18	68
Johannes Oetsch Austria	6	63 0.9×	6 0.4×	15 1.4×	8 1.3×	6 1.0×	22	89
Hossein Yalame Germany	7	123 1.7×	14 1.0×	8 0.7×	8 1.3×	6 1.0×	15	131
Uriel Singer Israel	5	23 0.3×	14 1.0×	10 0.9×	3 0.5×	17 2.8×	10	59
Sebastiaan de Hoogh Netherlands	2	44 0.6×	28 2.0×	10 0.9×	8 1.3×	4 0.7×	2	62
E. Golobardes Spain	5	41 0.6×	12 0.9×	11 1.0×	3 0.5×	4 0.7×	10	53
Philippe Lamarre France	6	64 0.9×	16 1.1×	20 1.8×	20 3.3×	3 0.5×	13	82

Countries citing papers authored by Andrew Cropper

Since Specialization

Citations

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

Fields of papers citing papers by Andrew Cropper

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew Cropper. 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 Andrew Cropper. The network helps show where Andrew Cropper may publish in the future.

Co-authorship network of co-authors of Andrew Cropper

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Cropper. A scholar is included among the top collaborators of Andrew Cropper 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 Andrew Cropper. Andrew Cropper is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Rule, Joshua, Steven T. Piantadosi, Andrew Cropper, et al.. (2024). Symbolic metaprogram search improves learning efficiency and explains rule learning in humans. Nature Communications. 15(1). 6847–6847.

Järvisalo, Matti, et al.. (2024). Learning MDL Logic Programs from Noisy Data. Proceedings of the AAAI Conference on Artificial Intelligence. 38(9). 10553–10561.

Cropper, Andrew, et al.. (2024). FedHAN: A Cache-Based Semi-Asynchronous Federated Learning Framework Defending Against Poisoning Attacks in Heterogeneous Clients. 3407–3416. 1 indexed citations

Cropper, Andrew, et al.. (2024). Generalisation through Negation and Predicate Invention. Proceedings of the AAAI Conference on Artificial Intelligence. 38(9). 10467–10475.

Cropper, Andrew, et al.. (2023). Relational Program Synthesis with Numerical Reasoning. Proceedings of the AAAI Conference on Artificial Intelligence. 37(5). 6425–6433. 2 indexed citations

Cropper, Andrew, et al.. (2023). Learning programs with magic values. Machine Learning. 112(5). 1551–1595. 2 indexed citations

Cropper, Andrew, et al.. (2023). Learning logic programs by explaining their failures. Machine Learning. 112(10). 3917–3943. 1 indexed citations

Cropper, Andrew & Sebastijan Dumančić. (2022). Inductive Logic Programming At 30: A New Introduction. Journal of Artificial Intelligence Research. 74. 765–850. 14 indexed citations

Cropper, Andrew. (2022). Learning Logic Programs Though Divide, Constrain, and Conquer. Proceedings of the AAAI Conference on Artificial Intelligence. 36(6). 6446–6453. 3 indexed citations

10.

Cropper, Andrew, et al.. (2021). Inductive logic programming at 30. Machine Learning. 111(1). 147–172. 22 indexed citations

11.

Dumančić, Sebastijan & Andrew Cropper. (2020). Knowledge Refactoring for Program Induction. arXiv (Cornell University). 1 indexed citations

12.

Cropper, Andrew, et al.. (2020). Learning Higher-Order Programs through Predicate Invention. Proceedings of the AAAI Conference on Artificial Intelligence. 34(9). 13655–13658. 1 indexed citations

13.

Cropper, Andrew & Stephen Muggleton. (2018). Learning efficient logic programs. Machine Learning. 108(7). 1063–1083. 14 indexed citations

14.

Cropper, Andrew & Stephen Muggleton. (2016). Learning higher-order logic programs through abstraction and invention. Oxford University Research Archive (ORA) (University of Oxford). 1418–1424. 11 indexed citations

15.

Cropper, Andrew & Stephen Muggleton. (2015). Learning efficient logical robot strategies involving composable objects. Oxford University Research Archive (ORA) (University of Oxford). 3423–3429. 9 indexed citations

16.

Grov, Gudmund, et al.. (2015). Typed meta-interpretive learning for proof strategies. Edinburgh Research Explorer (University of Edinburgh). 1636. 1–16. 2 indexed citations

17.

Cropper, Andrew. (2014). Identifying and inferring objects from textual descriptions of scenes from books. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics).

18.

Cropper, Andrew, et al.. (2004). The Ford GT Transaxle - Tailor Made in 2 Years. SAE technical papers on CD-ROM/SAE technical paper series. 1 indexed citations

19.

Cropper, Andrew. (1988). The Myth of the Gate Tensioner. Journal of the Textile Institute. 79(4). 681–683.

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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