László Czúni
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Ecology
- Signal Processing top 10%
- Ecology, Evolution, Behavior and Systematics
- Co-authors
- Gábor SeressTamás SzirányiVeronika BókonyZoltán KatóNorbert KissJosiane ZerubiaM. Z. RashadTamás Micsík
- Topics
- Video Surveillance and Tracking Methods (9 papers)Advanced Vision and Imaging (8 papers)Advanced Image and Video Retrieval Techniques (8 papers)
In The Last Decade
László Czúni
47 papers receiving 338 citations
Peers
Comparison fields: 5 of 95
- Computer Vision and Pattern Recognition 126
- Artificial Intelligence 52
- Ecology 50
- Signal Processing 47
- Ecology, Evolution, Behavior and Systematics 44
Countries citing papers authored by László Czúni
This map shows the geographic impact of László Czúni'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 László Czúni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites László Czúni more than expected).
Fields of papers citing papers by László Czúni
This network shows the impact of papers produced by László Czúni. 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 László Czúni. The network helps show where László Czúni may publish in the future.
Co-authorship network of co-authors of László Czúni
This figure shows the co-authorship network connecting the top 25 collaborators of László Czúni. A scholar is included among the top collaborators of László Czúni 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 László Czúni. László Czúni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 13 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 12 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | Estimation of Urbanization Using Visual Features of Satellite Images | 9 |
| 13 | 29 | |
| 14 | 2 | |
| 15 | 12 | |
| 16 | 13 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 9 | |
| 20 | Image segmentation using Markov random field model in fully parallel cellular network architectures.( Research report of the Analogical and Neural Computing Laboratory, DNS-9-1997.) | 2 |
About László Czúni
László Czúni is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Media Technology, having authored 52 papers that have together received 363 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (9 papers), Advanced Vision and Imaging (8 papers) and Advanced Image and Video Retrieval Techniques (8 papers). The work is most often cited by research in Developmental Biology (19 citations), Computer Vision and Pattern Recognition (126 citations) and Signal Processing (47 citations). László Czúni has collaborated with scholars based in Hungary, Egypt and Germany. Frequent co-authors include Gábor Seress, Tamás Szirányi, Veronika Bókony, Zoltán Kató, Norbert Kiss, Josiane Zerubia, M. Z. Rashad, Tamás Micsík, Tibor Krenács and Béla Molnár. Their work appears in journals such as IEEE Access, Sensors and Landscape and Urban Planning.
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.