Gellért Máttyus

1.7k citations
14 papers · 1.2k indexed · 1 hit paper · h-index 11

Gellért Máttyus

14 papers receiving 1.1k citations

Hit Papers

DeepRoadMapper: Extracting Road Topology from Aerial Images3842017202620202023100200300

Peers

Gellért Máttyus
Comparison fields: 5 of 65
  • Computer Vision and Pattern Recognition 789
  • Media Technology 243
  • Environmental Engineering 381
  • Ocean Engineering 413
  • Automotive Engineering 156
Replace Franz Kurz with:
Franz Kurz Germany
Csaba Benedek Hungary
Shibiao Xu China
Anshuman Razdan United States
Nicolas Paparoditis France
Shuhan Shen China
İlke Demir United States
Guan Pang United States
Dilong Li China
Huan Luo China
Gellért Máttyus relative to Franz Kurz Germany Franz Kurz's profile →
Citations per field
00.5×3.1×
Franz Kurz · 1×
Citations per year

Countries citing papers authored by Gellért Máttyus

Since Specialization
Citations

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

Fields of papers citing papers by Gellért Máttyus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 22 scholars most cited alongside Gellért Máttyus, 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 Gellért Máttyus Line = papers co-authored together Gellért Máttyus links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 201979
2 201818
3 201859
4 2017110
5
DeepRoadMapper: Extracting Road Topology from Aerial Imagesbreakdown →
2017384
6 201693
7 201611
8 201584
9 201521
10 2015270
11
Real-time mapping from a helicopter with a new optical sensor system
20146
12 201336
13
A real-time optical airborne road traffic monitoring system
20131
14
MULTI TARGET TRACKING ON AERIAL VIDEOS
20107

About Gellért Máttyus

Gellért Máttyus is a scholar working on Environmental Engineering, Computer Vision and Pattern Recognition and Ocean Engineering, having authored 14 papers that have together received 1.2k indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (7 papers), Video Surveillance and Tracking Methods (6 papers), Automated Road and Building Extraction (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Robotics and Sensor-Based Localization (3 papers), Infrared Target Detection Methodologies (2 papers), Advanced Vision and Imaging (2 papers) and Autonomous Vehicle Technology and Safety (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (789 citations), Media Technology (243 citations) and Environmental Engineering (381 citations). Gellért Máttyus has collaborated with scholars based in Canada, Germany and United States. Frequent co-authors include Raquel Urtasun, Wenjie Luo, Kang Liu, Shenlong Wang, Sanja Fidler, Min Bai, Shrinidhi Kowshika Lakshmikanth, Namdar Homayounfar, Justin Liang and Bin Yang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Geoscience and Remote Sensing Letters and Image and Vision Computing.

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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