Csaba Benedek

2.0k citations
72 papers · 1.4k · h-index 21

Impact in

Papers in

Csaba Benedek

70 papers receiving 1.3k citations

Peers

Csaba Benedek
Comparison fields: 5 of 84
  • Media Technology 421
  • Computer Vision and Pattern Recognition 661
  • Geology 140
  • Environmental Engineering 300
  • Instrumentation 65
Replace Li Yan with:
Li Yan China
Srikumar Ramalingam United States
Alexandre Boulch France
Nicolas Paparoditis France
Pablo F. Alcantarilla Spain
Cem Ünsalan Türkiye
Nicolas Audebert France
Germán Ros Spain
A. Huertas United States
Hanyun Wang China
Csaba Benedek relative to Li Yan China Li Yan's profile →
Citations per field
00.5×10×12.8×
Li Yan · 1×
Citations per year

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-authors

The 23 scholars most cited alongside Csaba Benedek, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Csaba Benedek Line = papers co-authored together Csaba Benedek links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009201
2 2011131
3 200888
4 201763
5 201661
6 200747
7 201247
8 201546
9 202033
10 201133
11 201432
12 202130
13 201426
14 200426
15 201226
16 200925
17 202225
18 201924
19 201922
20 201122

About Csaba Benedek

Csaba Benedek is a scholar working on Computer Vision and Pattern Recognition, Environmental Engineering, Aerospace Engineering, Media Technology and Geology, having authored 72 papers that have together received 1.4k indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (25 papers), Video Surveillance and Tracking Methods (20 papers), Remote-Sensing Image Classification (16 papers), Robotics and Sensor-Based Localization (15 papers), Advanced Vision and Imaging (11 papers), 3D Surveying and Cultural Heritage (10 papers), Advanced Optical Sensing Technologies (8 papers) and Automated Road and Building Extraction (7 papers). The work is most often cited by research in Media Technology (421 citations), Computer Vision and Pattern Recognition (661 citations), Geology (140 citations), Environmental Engineering (300 citations) and Instrumentation (65 citations). Csaba Benedek has collaborated with scholars based in Hungary, France and Italy. Frequent 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. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing, Pattern Recognition Letters and IEEE Robotics and Automation Letters.

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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