Andrei Bursuc
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Video Surveillance and Tracking Methods
- Geology top 10%
Papers in
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- Advanced Neural Network Applications 17
- Advanced Image and Video Retrieval Techniques 17
- Multimodal Machine Learning Applications 10
- Image Retrieval and Classification Techniques 8
- Video Analysis and Summarization 7
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- Domain Adaptation and Few-Shot Learning 8
- Adversarial Robustness in Machine Learning 8
- Anomaly Detection Techniques and Applications 7
- Co-authors
- Spyros Gidaris (13 shared papers)Patrick Pérez (14 shared papers)Gilles Puy (5 shared papers)Titus B. Zaharia (10 shared papers)Alexandre Boulch (5 shared papers)Renaud Marlet (6 shared papers)Nikos Komodakis (4 shared papers)Ruxandra Țapu (1 shared paper)
In The Last Decade
Andrei Bursuc
46 papers receiving 798 citations
Peers
Comparison fields: 5 of 85
- Computer Vision and Pattern Recognition 498
- Geology 58
- Artificial Intelligence 275
- Human-Computer Interaction 41
- Media Technology 47
Countries citing papers authored by Andrei Bursuc
This map shows the geographic impact of Andrei Bursuc'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 Andrei Bursuc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrei Bursuc more than expected).
Fields of papers citing papers by Andrei Bursuc
This network shows the impact of papers produced by Andrei Bursuc. 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 Andrei Bursuc. The network helps show where Andrei Bursuc may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrei Bursuc, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 117 | |
| 2 | 2023 | 91 | |
| 3 | 2022 | 85 | |
| 4 | 2022 | 79 | |
| 5 | 2021 | 59 | |
| 6 | 2019 | 40 | |
| 7 | 2020 | 38 | |
| 8 | 2023 | 33 | |
| 9 | 2021 | 32 | |
| 10 | 2015 | 23 | |
| 11 | 2024 | 19 | |
| 12 | 2023 | 16 | |
| 13 | 2024 | 16 | |
| 14 | 2022 | 13 | |
| 15 | 2022 | 12 | |
| 16 | 2024 | 10 | |
| 17 | 2022 | 10 | |
| 18 | 2010 | 10 | |
| 19 | 2018 | 9 | |
| 20 | 2021 | 9 |
About Andrei Bursuc
Andrei Bursuc is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Signal Processing and Environmental Engineering, having authored 53 papers that have together received 822 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (17 papers), Advanced Image and Video Retrieval Techniques (17 papers), Multimodal Machine Learning Applications (10 papers), Image Retrieval and Classification Techniques (8 papers), Domain Adaptation and Few-Shot Learning (8 papers), Adversarial Robustness in Machine Learning (8 papers), Video Analysis and Summarization (7 papers) and Anomaly Detection Techniques and Applications (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (498 citations), Geology (58 citations), Artificial Intelligence (275 citations), Human-Computer Interaction (41 citations) and Media Technology (47 citations). Andrei Bursuc has collaborated with scholars based in France, Canada and Czechia. Frequent co-authors include Spyros Gidaris, Patrick Pérez, Gilles Puy, Titus B. Zaharia, Alexandre Boulch, Renaud Marlet, Nikos Komodakis, Ruxandra Țapu, Matthieu Cord and Yannis Avrithis. Their work appears in journals such as International Journal of Computer Vision, IEEE Access, Lecture notes in computer science, Neurocomputing 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.