Suat Gedikli
- Computer Vision and Pattern Recognition top 2%
- Aerospace Engineering top 2%
- Geology top 2%
- Computational Mechanics top 5%
- Environmental Engineering top 5%
- Co-authors
- Radu Bogdan RusuNico BlodowMichael BeetzMarkus VinczeAitor AldomàEckehard SteinbachJulius KammerlFederico Tombari
- Topics
- Video Analysis and Summarization (5 papers)3D Surveying and Cultural Heritage (4 papers)Robotics and Sensor-Based Localization (4 papers)
- Journals
- IEEE Robotics & Automation MagazineHAL (Le Centre pour la Communication Scientifique Directe)mediaTUM (Technical University of Munich)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Suat Gedikli
11 papers receiving 917 citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Computer Vision and Pattern Recognition 613
- Aerospace Engineering 434
- Geology 264
- Computational Mechanics 226
- Environmental Engineering 167
Countries citing papers authored by Suat Gedikli
This map shows the geographic impact of Suat Gedikli'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 Suat Gedikli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suat Gedikli more than expected).
Fields of papers citing papers by Suat Gedikli
This network shows the impact of papers produced by Suat Gedikli. 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 Suat Gedikli. The network helps show where Suat Gedikli may publish in the future.
Co-authorship network of co-authors of Suat Gedikli
This figure shows the co-authorship network connecting the top 25 collaborators of Suat Gedikli. A scholar is included among the top collaborators of Suat Gedikli 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 Suat Gedikli. Suat Gedikli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | Real-time compression of point cloud streamsbreakdown → | 262 |
| 4 | 116 | |
| 5 | 264 | |
| 6 | 204 | |
| 7 | ASpoGAMo: Automated Sports Game Analysis Models | 32 |
| 8 | Continual and Robust Estimation of Camera Parameters in Broadcasted Sports Games | 4 |
| 9 | Visually tracking football games based on TV broadcasts | 29 |
| 10 | 34 | |
| 11 | AGILO RoboCuppers 2004 | 1 |
| 12 | Evaluating Multi-Agent Robotic Systems Using Ground Truth | 2 |
About Suat Gedikli
Suat Gedikli is a scholar working on Geology, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 954 indexed citations. Recurring topics across this work include Video Analysis and Summarization (5 papers), 3D Surveying and Cultural Heritage (4 papers) and Robotics and Sensor-Based Localization (4 papers). The work is most often cited by research in Geology (264 citations), Computer Graphics and Computer-Aided Design (158 citations) and Computer Vision and Pattern Recognition (613 citations). Suat Gedikli has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Radu Bogdan Rusu, Nico Blodow, Michael Beetz, Markus Vincze, Aitor Aldomà, Eckehard Steinbach, Julius Kammerl, Federico Tombari, David Gossow and Walter Wohlkinger. Their work appears in journals such as IEEE Robotics & Automation Magazine, HAL (Le Centre pour la Communication Scientifique Directe) and mediaTUM (Technical University of Munich).
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.