Duncan Gillies
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 2%
- Molecular Biology
- Surgery
- Epidemiology
- Co-authors
- Carlos Eduardo ThomazRaymond LiuGul N. KhanRaul Queiroz FeitosaIra S. SchwartzChee-Keong KwohMitchell A. YakrusKevin Winthrop
- Topics
- Face and Expression Recognition (17 papers)Face recognition and analysis (8 papers)Medical Image Segmentation Techniques (7 papers)
- Partner nations
- United KingdomBrazilUnited States
In The Last Decade
Duncan Gillies
65 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Artificial Intelligence 394
- Computer Vision and Pattern Recognition 383
- Molecular Biology 345
- Surgery 160
- Epidemiology 149
Countries citing papers authored by Duncan Gillies
This map shows the geographic impact of Duncan Gillies'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 Duncan Gillies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duncan Gillies more than expected).
Fields of papers citing papers by Duncan Gillies
This network shows the impact of papers produced by Duncan Gillies. 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 Duncan Gillies. The network helps show where Duncan Gillies may publish in the future.
Co-authorship network of co-authors of Duncan Gillies
This figure shows the co-authorship network connecting the top 25 collaborators of Duncan Gillies. A scholar is included among the top collaborators of Duncan Gillies 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 Duncan Gillies. Duncan Gillies is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | A Review of Feature Selection and Feature Extraction Methods Applied on Microarray Databreakdown → | 686 |
| 3 | 5 | |
| 4 | 0 | |
| 5 | Toward efficient quality of information estimation in simultaneous acoustic tracking and classification of multiple targets | 1 |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 8 | |
| 10 | Laparoscopic task recognition using Hidden Markov Models. | 16 |
| 11 | 21 | |
| 12 | 20 | |
| 13 | 3 | |
| 14 | 148 | |
| 15 | 35 | |
| 16 | Automated Endoscope Navigation and Advisory System from medical imaging | 7 |
| 17 | 37 | |
| 18 | 18 | |
| 19 | 33 | |
| 20 | 41 |
About Duncan Gillies
Duncan Gillies is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 70 papers that have together received 1.6k indexed citations. Recurring topics across this work include Face and Expression Recognition (17 papers), Face recognition and analysis (8 papers) and Medical Image Segmentation Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (383 citations), Computational Mathematics (9 citations) and Artificial Intelligence (394 citations). Duncan Gillies has collaborated with scholars based in United Kingdom, Brazil and United States. Frequent co-authors include Carlos Eduardo Thomaz, Raymond Liu, Gul N. Khan, Raul Queiroz Feitosa, Ira S. Schwartz, Chee-Keong Kwoh, Mitchell A. Yakrus, Kevin Winthrop, Duc J. Vugia and Christopher B. Williams. Their work appears in journals such as New England Journal of Medicine, The Lancet and PLoS ONE.
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.