Csaba Benedek

2.0k total citations
72 papers, 1.4k citations indexed

About

Csaba Benedek is a scholar working on Computer Vision and Pattern Recognition, Environmental Engineering and Aerospace Engineering. According to data from OpenAlex, Csaba Benedek has authored 72 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Vision and Pattern Recognition, 25 papers in Environmental Engineering and 19 papers in Aerospace Engineering. Recurrent topics in Csaba Benedek's work include Remote Sensing and LiDAR Applications (25 papers), Video Surveillance and Tracking Methods (20 papers) and Remote-Sensing Image Classification (16 papers). Csaba Benedek is often cited by papers focused on Remote Sensing and LiDAR Applications (25 papers), Video Surveillance and Tracking Methods (20 papers) and Remote-Sensing Image Classification (16 papers). Csaba Benedek collaborates with scholars based in Hungary, France and Italy. Csaba Benedek's co-authors include Tamás Szirányi, Balázs Nagy, Josiane Zerubia, Xavier Descombes, Zoltán Kató, Marco Martorella, M. G. Benedict, Olivér Krammer, László Jakab and Maha Shadaydeh and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Industrial Electronics.

In The Last Decade

Csaba Benedek

70 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Csaba Benedek Hungary 21 661 421 300 250 207 72 1.4k
Li Yan China 23 501 0.8× 352 0.8× 376 1.3× 307 1.2× 130 0.6× 89 1.2k
Nicolas Audebert France 7 419 0.6× 528 1.3× 408 1.4× 109 0.4× 256 1.2× 18 1.3k
Beril Sırmaçek Netherlands 17 528 0.8× 663 1.6× 553 1.8× 124 0.5× 231 1.1× 64 1.4k
Konstantinos Makantasis Greece 15 425 0.6× 686 1.6× 91 0.3× 91 0.4× 436 2.1× 50 1.4k
Fangling Pu China 18 312 0.5× 319 0.8× 198 0.7× 276 1.1× 111 0.5× 58 1.1k
Alexandre Boulch France 20 660 1.0× 726 1.7× 702 2.3× 249 1.0× 361 1.7× 46 2.1k
Gang Wan China 14 1.3k 1.9× 1.1k 2.7× 157 0.5× 543 2.2× 299 1.4× 67 2.2k
Pablo F. Alcantarilla Spain 17 1.4k 2.0× 326 0.8× 101 0.3× 856 3.4× 165 0.8× 32 1.9k
Germán Ros Spain 6 1.3k 1.9× 269 0.6× 129 0.4× 230 0.9× 125 0.6× 12 1.7k

Countries citing papers authored by Csaba Benedek

Since Specialization
Citations

This map shows the geographic impact of Csaba Benedek'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 Csaba Benedek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Csaba Benedek more than expected).

Fields of papers citing papers by Csaba Benedek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Csaba Benedek. 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 Csaba Benedek. The network helps show where Csaba Benedek may publish in the future.

Co-authorship network of co-authors of Csaba Benedek

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

All Works

20 of 20 papers shown
1.
Máthé, Domokos, Csaba Benedek, Agnes I. Bartha, et al.. (2025). Predicting PD-L1 expression status in NSCLC using radiomic analysis of 18 F-FDG-PET/CT images. European Journal of Nuclear Medicine and Molecular Imaging. 53(2). 800–811. 1 indexed citations
2.
Benedek, Csaba, et al.. (2024). LidPose: Real-Time 3D Human Pose Estimation in Sparse Lidar Point Clouds with Non-Repetitive Circular Scanning Pattern. Sensors. 24(11). 3427–3427. 3 indexed citations
3.
Nagy, Balázs, et al.. (2021). ChangeGAN: A Deep Network for Change Detection in Coarsely Registered Point Clouds. IEEE Robotics and Automation Letters. 6(4). 8277–8284. 15 indexed citations
4.
Nagy, Balázs, et al.. (2020). Deep Learning-Based Masonry Wall Image Analysis. Remote Sensing. 12(23). 3918–3918. 18 indexed citations
5.
Nagy, Balázs & Csaba Benedek. (2020). On-the-Fly Camera and Lidar Calibration. Remote Sensing. 12(7). 1137–1137. 13 indexed citations
6.
Nagy, Balázs, et al.. (2020). HierarchyNet: Hierarchical CNN-Based Urban Building Classification. Remote Sensing. 12(22). 3794–3794. 33 indexed citations
7.
Nagy, Balázs & Csaba Benedek. (2019). 3D CNN-Based Semantic Labeling Approach for Mobile Laser Scanning Data. IEEE Sensors Journal. 19(21). 10034–10045. 22 indexed citations
8.
Nagy, Balázs, et al.. (2017). Instant Object Detection in Lidar Point Clouds. IEEE Geoscience and Remote Sensing Letters. 14(7). 992–996. 63 indexed citations
9.
Benedek, Csaba, et al.. (2015). Lidar-based gait analysis in people tracking and 4D visualization. 1138–1142. 8 indexed citations
10.
Benedek, Csaba, et al.. (2015). Feature selection for Lidar-based gait recognition. 1–5. 18 indexed citations
11.
Benedek, Csaba, et al.. (2014). Extraction of Vehicle Groups in Airborne Lidar Point Clouds With Two-Level Point Processes. IEEE Transactions on Geoscience and Remote Sensing. 53(3). 1475–1489. 26 indexed citations
12.
Benedek, Csaba, et al.. (2013). Analysis of 3D Dynamic Urban Scenes Based on LiDAR Point Cloud Sequences. SZTAKI Publication Repository (Hungarian Academy of Sciences). 3 indexed citations
13.
Benedek, Csaba & Marco Martorella. (2011). ISAR image sequence based Automatic Target Recognition by using a Multi-Frame Marked Point Process model. University of Birmingham Research Portal (University of Birmingham). 3791–3794. 7 indexed citations
14.
Máttyus, Gellért, Csaba Benedek, & Tamás Szirányi. (2010). MULTI TARGET TRACKING ON AERIAL VIDEOS. SZTAKI Publication Repository (Hungarian Academy of Sciences). 7 indexed citations
15.
Benedek, Csaba, Xavier Descombes, & Josiane Zerubia. (2010). Building Detection in a Single Remotely Sensed Image with a Point Process of Rectangles. 1417–1420. 15 indexed citations
16.
Benedek, Csaba, Tamás Szirányi, Zoltán Kató, & Josiane Zerubia. (2009). Detection of Object Motion Regions in Aerial Image Pairs With a Multilayer Markovian Model. IEEE Transactions on Image Processing. 18(10). 2303–2315. 25 indexed citations
17.
Benedek, Csaba. (2008). Novel Markovian Change Detection Models in Computer Vision. SZTAKI Publication Repository (Hungarian Academy of Sciences). 1 indexed citations
18.
Benedek, Csaba & Tamás Szirányi. (2008). Bayesian Foreground and Shadow Detection in Uncertain Frame Rate Surveillance Videos. IEEE Transactions on Image Processing. 17(4). 608–621. 88 indexed citations
19.
Benedek, Csaba & Tamás Szirányi. (2007). Color models of shadow detection in video scenes. SZTAKI Publication Repository (Hungarian Academy of Sciences). 2 indexed citations
20.
Szlávik, Zoltán, et al.. (2005). Learning human motion patterns from symmetries. SZTAKI Publication Repository (Hungarian Academy of Sciences). 1 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.

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