Alan G. Millard
- Electrical and Electronic Engineering
- Cellular and Molecular Neuroscience
- Cognitive Neuroscience
- Control and Systems Engineering
- Artificial Intelligence
- Co-authors
- Jon TimmisDavid M. HallidayLiam McDaidJim HarkinAndy M. TyrrellJunxiu LiuAnju P. JohnsonJames A. Hilder
- Topics
- Neural dynamics and brain function (9 papers)Advanced Memory and Neural Computing (9 papers)Neuroscience and Neural Engineering (8 papers)
- Cited by
- Cellular and Molecular NeuroscienceCognitive NeuroscienceElectrical and Electronic Engineering
- Journals
- IEEE Transactions on Neural Networks and Learning SystemsFrontiers in Cellular NeuroscienceIEEE Transactions on Circuits and Systems I Regular Papers
- Partner nations
- United KingdomUnited StatesIreland
In The Last Decade
Alan G. Millard
18 papers receiving 207 citations
Peers
Comparison fields: 5 of 48
- Electrical and Electronic Engineering 110
- Cellular and Molecular Neuroscience 84
- Cognitive Neuroscience 71
- Control and Systems Engineering 36
- Artificial Intelligence 36
Countries citing papers authored by Alan G. Millard
This map shows the geographic impact of Alan G. Millard'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 G. Millard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan G. Millard more than expected).
Fields of papers citing papers by Alan G. Millard
This network shows the impact of papers produced by Alan G. Millard. 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 G. Millard. The network helps show where Alan G. Millard may publish in the future.
Co-authorship network of co-authors of Alan G. Millard
This figure shows the co-authorship network connecting the top 25 collaborators of Alan G. Millard. A scholar is included among the top collaborators of Alan G. Millard 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 G. Millard. Alan G. Millard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 14 | |
| 5 | 21 | |
| 6 | 11 | |
| 7 | 5 | |
| 8 | 5 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 36 | |
| 12 | 13 | |
| 13 | 37 | |
| 14 | 10 | |
| 15 | 4 | |
| 16 | 4 | |
| 17 | 17 | |
| 18 | 19 |
About Alan G. Millard
Alan G. Millard is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Management of Technology and Innovation, having authored 18 papers that have together received 211 indexed citations. Recurring topics across this work include Neural dynamics and brain function (9 papers), Advanced Memory and Neural Computing (9 papers) and Neuroscience and Neural Engineering (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (84 citations), Cognitive Neuroscience (71 citations) and Electrical and Electronic Engineering (110 citations). Alan G. Millard has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Jon Timmis, David M. Halliday, Liam McDaid, Jim Harkin, Andy M. Tyrrell, Junxiu Liu, Anju P. Johnson, James A. Hilder, Alan Winfield and James O’Keeffe. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, Frontiers in Cellular Neuroscience and IEEE Transactions on Circuits and Systems I Regular Papers.
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.