Paul Miller
- Cognitive Neuroscience top 1%
- Computer Vision and Pattern Recognition top 0.5%
- Plant Science top 2%
- Artificial Intelligence top 2%
- Signal Processing top 1%
- Co-authors
- Jesús Martínez del RincónNiall McLaughlinA. Mike BurtonHuiyu ZhouDonald B. KatzJ. OrsonNathan MorrisEric E. Hall
- Topics
- Neural dynamics and brain function (37 papers)Plant Surface Properties and Treatments (26 papers)Video Surveillance and Tracking Methods (25 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyPhysical Review Letters
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Paul Miller
251 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 204
- Cognitive Neuroscience 1.8k
- Computer Vision and Pattern Recognition 1.4k
- Plant Science 839
- Artificial Intelligence 656
- Signal Processing 543
Countries citing papers authored by Paul Miller
This map shows the geographic impact of Paul Miller'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 Paul Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Miller more than expected).
Fields of papers citing papers by Paul Miller
This network shows the impact of papers produced by Paul Miller. 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 Paul Miller. The network helps show where Paul Miller may publish in the future.
Co-authorship network of co-authors of Paul Miller
This figure shows the co-authorship network connecting the top 25 collaborators of Paul Miller. A scholar is included among the top collaborators of Paul Miller 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 Paul Miller. Paul Miller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 13 | |
| 8 | 5 | |
| 9 | 10 | |
| 10 | 56 | |
| 11 | 39 | |
| 12 | 23 | |
| 13 | 15 | |
| 14 | 0 | |
| 15 | Spray drift and buffer zones - a review. | 1 |
| 16 | An alternative surfactant to nonyl phenol ethoxylates for spray application research. | 1 |
| 17 | 198 | |
| 18 | 6 | |
| 19 | Learning Objects and the Information Environment | 2 |
| 20 | A map-based system for patch spraying weeds - system control | 1 |
About Paul Miller
Paul Miller is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Condensed Matter Physics, having authored 265 papers that have together received 6.1k indexed citations. Recurring topics across this work include Neural dynamics and brain function (37 papers), Plant Surface Properties and Treatments (26 papers) and Video Surveillance and Tracking Methods (25 papers). The work is most often cited by research in Cognitive Neuroscience (1.8k citations), Computer Vision and Pattern Recognition (1.4k citations) and Signal Processing (543 citations). Paul Miller has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Jesús Martínez del Rincón, Niall McLaughlin, A. Mike Burton, Huiyu Zhou, Donald B. Katz, J. Orson, Nathan Morris, Eric E. Hall, R. J. Froud‐Williams and Peter Hancock. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Physical Review Letters.
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.