Matei Stroila
Impact in
- Neurology top 5%
- Vascular Malformations Diagnosis and Treatment
- Facial Nerve Paralysis Treatment and Research
- Pathology and Forensic Medicine top 10%
- Trigeminal Neuralgia and Treatments
Papers in
-
- Advanced Image and Video Retrieval Techniques 4
- Robotic Path Planning Algorithms 2
- Video Surveillance and Tracking Methods 2
-
- Robotics and Sensor-Based Localization 5
- Co-authors
- Jason P. Sheehan (6 shared papers)Ladislau Steiner (6 shared papers)Hung-Chuan Pan (5 shared papers)John W. Snell (1 shared paper)Melita Steiner (4 shared papers)Jeff Bach (3 shared papers)Ruisheng Wang (1 shared paper)Xin Chen (1 shared paper)
- Journals
- Journal of neurosurgery (6 papers)IEEE Transactions on Visualization and Computer Graphics (1 paper)Lecture notes in computer science (1 paper)TU/e Research Portal (1 paper)
- Partner nations
- United StatesNetherlandsFinland
In The Last Decade
Matei Stroila
15 papers receiving 611 citations
Peers
Comparison fields: 5 of 61
- Neurology 195
- Pathology and Forensic Medicine 164
- Geology 43
- Genetics 55
- Epidemiology 160
Countries citing papers authored by Matei Stroila
This map shows the geographic impact of Matei Stroila'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 Matei Stroila with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matei Stroila more than expected).
Fields of papers citing papers by Matei Stroila
This network shows the impact of papers produced by Matei Stroila. 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 Matei Stroila. The network helps show where Matei Stroila may publish in the future.
Co-authors
The 20 scholars most cited alongside Matei Stroila, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 179 | |
| 2 | 2005 | 169 | |
| 3 | 2005 | 73 | |
| 4 | 2005 | 67 | |
| 5 | 2009 | 62 | |
| 6 | 2005 | 28 | |
| 7 | 2005 | 26 | |
| 8 | 2007 | 12 | |
| 9 | 2016 | 8 | |
| 10 | 2011 | 4 | |
| 11 | 2016 | 4 | |
| 12 | 2009 | 3 | |
| 13 | 2012 | 2 | |
| 14 | 2014 | 2 | |
| 15 | 2011 | 1 | |
| 16 | 2019 | 0 | |
| 17 | 2014 | 0 |
About Matei Stroila
Matei Stroila is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Automotive Engineering, Neurology and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 640 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (5 papers), Advanced Image and Video Retrieval Techniques (4 papers), Autonomous Vehicle Technology and Safety (2 papers), Robotic Path Planning Algorithms (2 papers), Remote Sensing and LiDAR Applications (2 papers), Brain Metastases and Treatment (2 papers), Vascular Malformations Diagnosis and Treatment (2 papers) and Video Surveillance and Tracking Methods (2 papers). The work is most often cited by research in Neurology (195 citations), Pathology and Forensic Medicine (164 citations), Geology (43 citations), Genetics (55 citations) and Epidemiology (160 citations). Matei Stroila has collaborated with scholars based in United States, Netherlands and Finland. Frequent co-authors include Jason P. Sheehan, Ladislau Steiner, Hung-Chuan Pan, John W. Snell, Melita Steiner, Jeff Bach, Ruisheng Wang, Xin Chen, John C. Hart and Jane Macfarlane. Their work appears in journals such as Journal of neurosurgery, IEEE Transactions on Visualization and Computer Graphics, Lecture notes in computer science and TU/e Research Portal.
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.