Andrew Cropper
Impact in
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- Logic, Reasoning, and Knowledge
- Machine Learning and Algorithms
- AI-based Problem Solving and Planning
- Semantic Web and Ontologies
- Natural Language Processing Techniques
- Logic, programming, and type systems
- Topic Modeling
Papers in
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- Machine Learning and Algorithms 7
- Logic, programming, and type systems 6
- Logic, Reasoning, and Knowledge 6
- Natural Language Processing Techniques 4
- AI-based Problem Solving and Planning 3
- Semantic Web and Ontologies 2
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- Software Engineering Research 5
- Co-authors
- Stephen Muggleton (6 shared papers)Sebastijan Dumančić (3 shared papers)Gudmund Grov (1 shared paper)Joshua Rule (1 shared paper)Steven T. Piantadosi (1 shared paper)Joshua B. Tenenbaum (1 shared paper)Maxwell Nye (1 shared paper)Alan Bundy (1 shared paper)
- Journals
- Machine Learning (4 papers)Nature Communications (1 paper)Journal of Artificial Intelligence Research (1 paper)SAE technical papers on CD-ROM/SAE technical paper series (1 paper)Journal of the Textile Institute (1 paper)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Andrew Cropper
14 papers receiving 80 citations
Peers
Comparison fields: 5 of 22
- Artificial Intelligence 74
- Information Systems and Management 5
- Computational Theory and Mathematics 11
- Information Systems 14
- Software 2
Countries citing papers authored by Andrew Cropper
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
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-authors
The 11 scholars most cited alongside Andrew Cropper, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 22 | |
| 2 | 2022 | 14 | |
| 3 | 2018 | 14 | |
| 4 | Learning higher-order logic programs through abstraction and invention | 2016 | 11 |
| 5 | Learning efficient logical robot strategies involving composable objects | 2015 | 9 |
| 6 | 2022 | 3 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 2 | |
| 9 | Typed meta-interpretive learning for proof strategies | 2015 | 2 |
| 10 | Knowledge Refactoring for Program Induction | 2020 | 1 |
| 11 | 2024 | 1 | |
| 12 | 2023 | 1 | |
| 13 | 2020 | 1 | |
| 14 | 2004 | 1 | |
| 15 | 2024 | 0 | |
| 16 | 2024 | 0 | |
| 17 | 2024 | 0 | |
| 18 | 1988 | 0 | |
| 19 | 2014 | 0 |
About Andrew Cropper
Andrew Cropper is a scholar working on Artificial Intelligence, Information Systems, Computational Theory and Mathematics, Automotive Engineering and Control and Systems Engineering, having authored 19 papers that have together received 84 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (7 papers), Logic, programming, and type systems (6 papers), Logic, Reasoning, and Knowledge (6 papers), Software Engineering Research (5 papers), Natural Language Processing Techniques (4 papers), AI-based Problem Solving and Planning (3 papers), Semantic Web and Ontologies (2 papers) and Formal Methods in Verification (2 papers). The work is most often cited by research in Artificial Intelligence (74 citations), Information Systems and Management (5 citations), Computational Theory and Mathematics (11 citations), Information Systems (14 citations) and Software (2 citations). Andrew Cropper has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Stephen Muggleton, Sebastijan Dumančić, Gudmund Grov, Joshua Rule, Steven T. Piantadosi, Joshua B. Tenenbaum, Maxwell Nye, Alan Bundy, Stephen W. Nesbitt and Kevin Ellis. Their work appears in journals such as Machine Learning, Nature Communications, Journal of Artificial Intelligence Research, SAE technical papers on CD-ROM/SAE technical paper series and Journal of the Textile Institute.
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.