Philippe Burlina
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Ophthalmology top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 2%
- Media Technology top 0.5%
- Co-authors
- Neil M. BresslerNeil JoshiAmit BanerjeeDavid FreundKátia D. PachecoChristopher DiehlRama ChellappaMichael Pekala
- Topics
- Retinal Imaging and Analysis (19 papers)Retinal Diseases and Treatments (14 papers)Cardiac Valve Diseases and Treatments (11 papers)
- Partner nations
- United StatesCanadaSingapore
In The Last Decade
Philippe Burlina
96 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Radiology, Nuclear Medicine and Imaging 1.6k
- Ophthalmology 1.2k
- Computer Vision and Pattern Recognition 690
- Artificial Intelligence 560
- Media Technology 468
Countries citing papers authored by Philippe Burlina
This map shows the geographic impact of Philippe Burlina'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 Philippe Burlina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Burlina more than expected).
Fields of papers citing papers by Philippe Burlina
This network shows the impact of papers produced by Philippe Burlina. 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 Philippe Burlina. The network helps show where Philippe Burlina may publish in the future.
Co-authorship network of co-authors of Philippe Burlina
This figure shows the co-authorship network connecting the top 25 collaborators of Philippe Burlina. A scholar is included among the top collaborators of Philippe Burlina 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 Philippe Burlina. Philippe Burlina 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 | 2 | |
| 3 | 11 | |
| 4 | Unsupervised Semantic Attribute Discovery and Control in Generative Models. | 2 |
| 5 | 17 | |
| 6 | 43 | |
| 7 | 135 | |
| 8 | 107 | |
| 9 | Evaluation of automated drusen detection system for fundus photographs of patients with age-related macular degeneration | 4 |
| 10 | 59 | |
| 11 | 20 | |
| 12 | 23 | |
| 13 | 8 | |
| 14 | 26 | |
| 15 | Comparative performance evaluation of GM-PHD filter in clutter | 10 |
| 16 | A Machine Learning Approach to the Detection of Intermediate Stage of Age-Related Macular Degeneration | 1 |
| 17 | 2 | |
| 18 | 24 | |
| 19 | 59 | |
| 20 | 8 |
About Philippe Burlina
Philippe Burlina is a scholar working on Computer Vision and Pattern Recognition, Ophthalmology and Radiology, Nuclear Medicine and Imaging, having authored 99 papers that have together received 3.0k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (19 papers), Retinal Diseases and Treatments (14 papers) and Cardiac Valve Diseases and Treatments (11 papers). The work is most often cited by research in Ophthalmology (1.2k citations), Health Informatics (169 citations) and Radiology, Nuclear Medicine and Imaging (1.6k citations). Philippe Burlina has collaborated with scholars based in United States, Canada and Singapore. Frequent co-authors include Neil M. Bressler, Neil Joshi, Amit Banerjee, David Freund, Kátia D. Pacheco, Christopher Diehl, Rama Chellappa, Michael Pekala, Tien Yin Wong and Daniel Shu Wei Ting. Their work appears in journals such as Nature Medicine, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.