Alan Smaill
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Computational Theory and Mathematics top 5%
- Cognitive Neuroscience top 10%
- Co-authors
- Alan BundyAlison PeaseFrank van HarmelenGeraínt A. WigginsMarkus GuheAndrew StevensMarco SchorlemmerAndrew Ireland
- Topics
- Logic, programming, and type systems (14 papers)Music and Audio Processing (12 papers)Music Technology and Sound Studies (11 papers)
- Partner nations
- United KingdomGermanyItaly
In The Last Decade
Alan Smaill
67 papers receiving 651 citations
Peers
Comparison fields: 5 of 86
- Artificial Intelligence 431
- Computer Vision and Pattern Recognition 199
- Signal Processing 178
- Computational Theory and Mathematics 171
- Cognitive Neuroscience 139
Countries citing papers authored by Alan Smaill
This map shows the geographic impact of Alan Smaill'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 Alan Smaill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan Smaill more than expected).
Fields of papers citing papers by Alan Smaill
This network shows the impact of papers produced by Alan Smaill. 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 Alan Smaill. The network helps show where Alan Smaill may publish in the future.
Co-authorship network of co-authors of Alan Smaill
This figure shows the co-authorship network connecting the top 25 collaborators of Alan Smaill. A scholar is included among the top collaborators of Alan Smaill 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 Alan Smaill. Alan Smaill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | Mathematical reasoning with higher-order anti-unifcation | 7 |
| 3 | Towards a cognitive model of conceptual blending | 1 |
| 4 | A cognitive model of discovering commutativity | 4 |
| 5 | 3 | |
| 6 | Fuzzy Systems Conference, 2007. FUZZ-IEEE 2007. IEEE International | 17 |
| 7 | MAMA: An architecture for interactive musical agents | 12 |
| 8 | 2 | |
| 9 | Proof planning Non-standard Analysis | 1 |
| 10 | Local search on Random 2+p-SAT | 3 |
| 11 | Proceedings of International Conference on Temporal Logic (ICTL 2000) | 1 |
| 12 | 3 | |
| 13 | Time granularity in simulation models of ecological systems | 6 |
| 14 | 7 | |
| 15 | The reactive accompanist: applying subsumption architecture to software design | 2 |
| 16 | Representing music symbolically | 15 |
| 17 | 0 | |
| 18 | Representing music for analysis and composition | 21 |
| 19 | A rational reconstruction and extension of recursion analysis | 24 |
| 20 | Reflection in Constructive and Non-constructive Automated Reasoning. | 11 |
About Alan Smaill
Alan Smaill is a scholar working on Theoretical Computer Science, Signal Processing and Artificial Intelligence, having authored 72 papers that have together received 775 indexed citations. Recurring topics across this work include Logic, programming, and type systems (14 papers), Music and Audio Processing (12 papers) and Music Technology and Sound Studies (11 papers). The work is most often cited by research in Signal Processing (178 citations), Artificial Intelligence (431 citations) and Software (44 citations). Alan Smaill has collaborated with scholars based in United Kingdom, Germany and Italy. Frequent co-authors include Alan Bundy, Alison Pease, Frank van Harmelen, Geraínt A. Wiggins, Markus Guhe, Andrew Stevens, Marco Schorlemmer, Andrew Ireland, Tarek R. Besold and Jafreezal Jaafar. Their work appears in journals such as Behavioral and Brain Sciences, Artificial Intelligence and Lecture notes in computer science.
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.