Alan Blair
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Sociology and Political Science
- Computational Theory and Mathematics top 10%
- Economics and Econometrics
- Co-authors
- Jordan PollackRobin HarperStephan K. ChalupJoel VenessHugh Durrant‐WhyteEric NettletonShrihari VasudevanFábio Ramos
- Topics
- Evolutionary Algorithms and Applications (17 papers)Artificial Intelligence in Games (8 papers)Reinforcement Learning in Robotics (7 papers)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionComputational Theory and Mathematics
- Partner nations
- AustraliaUnited StatesGermany
In The Last Decade
Alan Blair
45 papers receiving 497 citations
Peers
Comparison fields: 5 of 90
- Artificial Intelligence 412
- Computer Vision and Pattern Recognition 84
- Sociology and Political Science 67
- Computational Theory and Mathematics 53
- Economics and Econometrics 50
Countries citing papers authored by Alan Blair
This map shows the geographic impact of Alan Blair'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 Blair with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan Blair more than expected).
Fields of papers citing papers by Alan Blair
This network shows the impact of papers produced by Alan Blair. 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 Blair. The network helps show where Alan Blair may publish in the future.
Co-authorship network of co-authors of Alan Blair
This figure shows the co-authorship network connecting the top 25 collaborators of Alan Blair. A scholar is included among the top collaborators of Alan Blair 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 Blair. Alan Blair is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 9 | |
| 3 | 1 | |
| 4 | 19 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | Artificial Life and Computational Intelligence: First Australasian Conference, ACALCI 2015, Newcastle, NSW, Australia, February 5-7, 2015, Proceedings | 4 |
| 9 | 7 | |
| 10 | Bootstrapping from Game Tree Search | 25 |
| 11 | 4 | |
| 12 | 14 | |
| 13 | 3 | |
| 14 | 11 | |
| 15 | 1 | |
| 16 | Evolving Learnable Languages | 6 |
| 17 | Loanword formation: a neural network approach | 2 |
| 18 | Why did TD-Gammon Work? | 12 |
| 19 | 6 | |
| 20 | 2 |
About Alan Blair
Alan Blair is a scholar working on Artificial Intelligence, Oral Surgery and Computer Vision and Pattern Recognition, having authored 48 papers that have together received 583 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (17 papers), Artificial Intelligence in Games (8 papers) and Reinforcement Learning in Robotics (7 papers). The work is most often cited by research in Artificial Intelligence (412 citations), Computer Vision and Pattern Recognition (84 citations) and Computational Theory and Mathematics (53 citations). Alan Blair has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Jordan Pollack, Robin Harper, Stephan K. Chalup, Joel Veness, Hugh Durrant‐Whyte, Eric Nettleton, Shrihari Vasudevan, Fábio Ramos, David Silver and William W. Cohen. Their work appears in journals such as Neural Computation, Neural Networks 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.