Andrei Bursuc
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Geology top 10%
Papers in
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- Advanced Neural Network Applications 8
- Advanced Image and Video Retrieval Techniques 8
- Video Analysis and Summarization 5
- Multimodal Machine Learning Applications 4
- Image Retrieval and Classification Techniques 4
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- Adversarial Robustness in Machine Learning 5
- Anomaly Detection Techniques and Applications 3
- Co-authors
- Spyros Gidaris (6 shared papers)Gilles Puy (4 shared papers)Renaud Marlet (5 shared papers)Alexandre Boulch (4 shared papers)Ruxandra Țapu (1 shared paper)Zaharia Titus (1 shared paper)Patrick Pérez (7 shared papers)Nikos Komodakis (1 shared paper)
In The Last Decade
Andrei Bursuc
29 papers receiving 407 citations
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 236
- Geology 41
- Human-Computer Interaction 34
- Instrumentation 13
- Environmental Engineering 53
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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 94 | |
| 2 | 2022 | 71 | |
| 3 | 2023 | 65 | |
| 4 | 2021 | 45 | |
| 5 | 2021 | 23 | |
| 6 | 2023 | 16 | |
| 7 | 2024 | 13 | |
| 8 | 2024 | 9 | |
| 9 | 2021 | 8 | |
| 10 | 2024 | 7 | |
| 11 | 2019 | 7 | |
| 12 | 2010 | 7 | |
| 13 | 2023 | 6 | |
| 14 | 2023 | 6 | |
| 15 | 2019 | 6 | |
| 16 | 2024 | 5 | |
| 17 | 2024 | 5 | |
| 18 | 2018 | 5 | |
| 19 | 2015 | 5 | |
| 20 | 2021 | 4 |
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 32 papers that have together received 424 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (8 papers), Advanced Image and Video Retrieval Techniques (8 papers), Adversarial Robustness in Machine Learning (5 papers), Video Analysis and Summarization (5 papers), Multimodal Machine Learning Applications (4 papers), Image Retrieval and Classification Techniques (4 papers), Robotics and Sensor-Based Localization (4 papers) and Anomaly Detection Techniques and Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (236 citations), Geology (41 citations), Human-Computer Interaction (34 citations), Instrumentation (13 citations) and Environmental Engineering (53 citations). Andrei Bursuc has collaborated with scholars based in France, Canada and Romania. Frequent co-authors include Spyros Gidaris, Gilles Puy, Renaud Marlet, Alexandre Boulch, Ruxandra Țapu, Zaharia Titus, Patrick Pérez, Nikos Komodakis, Matthieu Cord and Gianni Franchi. Their work appears in journals such as International Journal of Computer Vision, IEEE Access, IEEE Transactions on Pattern Analysis and Machine Intelligence, Neurocomputing and Computer Vision and Image Understanding.
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.