László Czúni

547 citations
60 papers · 421 · h-index 11

Impact in

Papers in

László Czúni

54 papers receiving 394 citations

Peers

László Czúni
Comparison fields: 5 of 97
  • Developmental Biology 21
  • Computer Vision and Pattern Recognition 166
  • Signal Processing 50
  • Media Technology 28
  • Industrial and Manufacturing Engineering 24
Replace Eraldo Ribeiro with:
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Augusto Salazar Colombia
Kim Arild Steen Denmark
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Citations per field
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Citations per year

Countries citing papers authored by László Czúni

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 16 scholars most cited alongside László Czúni, 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 László Czúni Line = papers co-authored together László Czúni links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201494
2 201131
3 200029
4 200116
5 200715
6 200615
7 202114
8 202213
9 200712
10 201711
11
Lightweight Acoustic Detection of Logging in Wireless Sensor Networks
201411
12
Estimation of Urbanization Using Visual Features of Satellite Images
201210
13 19999
14 20229
15 20078
16 20038
17 20037
18 20146
19 19966
20 20215

About László Czúni

László Czúni is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Industrial and Manufacturing Engineering and Computer Networks and Communications, having authored 60 papers that have together received 421 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (12 papers), Advanced Vision and Imaging (11 papers), Video Surveillance and Tracking Methods (10 papers), Industrial Vision Systems and Defect Detection (8 papers), Image Retrieval and Classification Techniques (8 papers), Advanced Image Processing Techniques (7 papers), Video Analysis and Summarization (7 papers) and Neural Networks Stability and Synchronization (6 papers). The work is most often cited by research in Developmental Biology (21 citations), Computer Vision and Pattern Recognition (166 citations), Signal Processing (50 citations), Media Technology (28 citations) and Industrial and Manufacturing Engineering (24 citations). László Czúni has collaborated with scholars based in Hungary, Egypt and Germany. Frequent co-authors include Tamás Szirányi, Gábor Seress, Veronika Bókony, Josiane Zerubia, Zoltán Kató, Norbert Kiss, Tamás Micsík, Tibor Krenács, Béla Molnár and Zoltán Szlávik. Their work appears in journals such as SMPTE Motion Imaging Journal, Journal of Visual Communication and Image Representation, Electronics Letters, Sensors and Diagnostic Pathology.

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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