Andrei Bursuc

1.3k total citations
31 papers, 393 citations indexed

About

Andrei Bursuc is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Andrei Bursuc has authored 31 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 4 papers in Aerospace Engineering. Recurrent topics in Andrei Bursuc's work include Advanced Neural Network Applications (8 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Video Analysis and Summarization (5 papers). Andrei Bursuc is often cited by papers focused on Advanced Neural Network Applications (8 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Video Analysis and Summarization (5 papers). Andrei Bursuc collaborates with scholars based in France, Canada and Czechia. Andrei Bursuc's co-authors include Spyros Gidaris, Gilles Puy, Zaharia Titus, Ruxandra Țapu, Renaud Marlet, Alexandre Boulch, Patrick Pérez, Nikos Komodakis, Matthieu Cord and David Picard and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Access.

In The Last Decade

Andrei Bursuc

28 papers receiving 377 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Andrei Bursuc France	8	226	95	66	57	51	31	393
Sanqing Qu China	13	172 0.8×	95 1.0×	15 0.2×	95 1.7×	61 1.2×	28	370
Pengfei Xu China	13	311 1.4×	73 0.8×	28 0.4×	24 0.4×	19 0.4×	41	513
David Hafner Germany	5	594 2.6×	46 0.5×	21 0.3×	142 2.5×	36 0.7×	11	712
Jiangjian Xiao China	13	848 3.8×	53 0.6×	74 1.1×	164 2.9×	26 0.5×	60	928
Qi Han China	6	273 1.2×	52 0.5×	41 0.6×	47 0.8×	21 0.4×	14	357
Mike Bailey United States	8	154 0.7×	29 0.3×	18 0.3×	27 0.5×	18 0.4×	19	391
Roberto J. López-Sastre Spain	14	351 1.6×	64 0.7×	14 0.2×	70 1.2×	17 0.3×	41	458
Alejandro Newell United States	8	371 1.6×	181 1.9×	9 0.1×	27 0.5×	23 0.5×	9	480
Dalong Du China	9	511 2.3×	91 1.0×	11 0.2×	67 1.2×	23 0.5×	16	606
Tianjian Meng United States	3	459 2.0×	193 2.0×	8 0.1×	133 2.3×	59 1.2×	4	587

Countries citing papers authored by Andrei Bursuc

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Andrei Bursuc

This figure shows the co-authorship network connecting the top 25 collaborators of Andrei Bursuc. A scholar is included among the top collaborators of Andrei Bursuc 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 Andrei Bursuc. Andrei Bursuc is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Franchi, Gianni, et al.. (2024). Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models. 12194–12204. 5 indexed citations

Boulch, Alexandre, et al.. (2024). OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation Networks. SPIRE - Sciences Po Institutional REpository. 4493–4503. 6 indexed citations

Bursuc, Andrei, et al.. (2024). Cryoneurolysis of the Femoral Nerve for Focal Spasticity in an Ambulatory Patient. SHILAP Revista de lepidopterología. 6(1). 100319–100319. 4 indexed citations

Vu, Tuan-Hung, et al.. (2024). A Simple Recipe for Language-Guided Domain Generalized Segmentation. 23428–23437. 8 indexed citations

Puy, Gilles, Spyros Gidaris, Alexandre Boulch, et al.. (2024). Three Pillars Improving Vision Foundation Model Distillation for Lidar. 21519–21529. 10 indexed citations

Das, Arindam, et al.. (2023). UnShadowNet: Illumination Critic Guided Contrastive Learning for Shadow Removal. IEEE Access. 11. 87760–87774. 6 indexed citations

Laurent, Olivier, et al.. (2023). Estimation efficace des incertitudes avec Packed-Ensembles. SPIRE - Sciences Po Institutional REpository.

Bursuc, Andrei, et al.. (2023). A Case Report of Cryoneurolysis for Dorsal Foot Pain and Toe Clawing in a Patient With Multiple Sclerosis. Archives of Rehabilitation Research and Clinical Translation. 5(3). 100286–100286. 4 indexed citations

Gidaris, Spyros, et al.. (2023). RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving. SPIRE - Sciences Po Institutional REpository. 5240–5250. 59 indexed citations

10.

Franchi, Gianni, et al.. (2022). Latent Discriminant deterministic Uncertainty. arXiv (Cornell University). 1 indexed citations

11.

Frank, Jeremy, et al.. (2022). Solving Disjunctive Temporal Networks with Uncertainty under Restricted Time-Based Controllability Using Tree Search and Graph Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 36(9). 9877–9885. 1 indexed citations

12.

Gidaris, Spyros, Andrei Bursuc, Gilles Puy, et al.. (2021). OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning. 6826–6836. 44 indexed citations

13.

Bursuc, Andrei, et al.. (2021). Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 15681–15690. 22 indexed citations

14.

Wirbel, Émilie, et al.. (2020). PLOP: Probabilistic Polynomial Objects trajectory Prediction for autonomous driving. 329–338. 3 indexed citations

15.

Avrithis, Yannis, et al.. (2019). Dense Classification and Implanting for Few-Shot Learning. arXiv (Cornell University). 9250–9259. 7 indexed citations

16.

Tolias, Giorgos, Andrei Bursuc, Teddy Furon, & Hervé Jeǵou. (2015). Rotation and translation covariant match kernels for image retrieval. Computer Vision and Image Understanding. 140. 9–20. 5 indexed citations

17.

Țapu, Ruxandra, et al.. (2013). A Smartphone-Based Obstacle Detection and Classification System for Assisting Visually Impaired People. 444–451. 94 indexed citations

18.

Bursuc, Andrei, et al.. (2012). ARTEMIS.Ubimedia at TRECVID 2012: Instance Search Task.. TRECVID. 2 indexed citations

19.

Bursuc, Andrei, et al.. (2011). ARTEMIS-UBIMEDIA at TRECVid 2011 : instance search.. TRECVID. 1 indexed citations

20.

Bursuc, Andrei, Titus Zaharia, & Franç̧oise Prêteux. (2010). Mobile video browsing and retrieval with the OVIDIUS platform. 1659–1662. 7 indexed citations

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.

Explore authors with similar magnitude of impact