László Czúni

534 citations
52 papers · 363 · h-index 11

Impact in

Papers in

László Czúni

47 papers receiving 338 citations

Peers

László Czúni
Comparison fields: 5 of 95
  • Developmental Biology 19
  • Computer Vision and Pattern Recognition 126
  • Signal Processing 47
  • Industrial and Manufacturing Engineering 24
  • Ecology, Evolution, Behavior and Systematics 44
Replace Eraldo Ribeiro with:
Eraldo Ribeiro United States
Tuomas Eerola Finland
Paul G. Flikkema United States
José Ismael De la Rosa Vargas Mexico
Cheng‐Ming Huang Taiwan
Gianluca Maguolo Italy
Augusto Salazar Colombia
Ana Georgina Flesia Argentina
Tony Fountain United States
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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 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201492
2 201129
3 200024
4 200615
5 200713
6 202213
7 200712
8 202112
9 200111
10
Lightweight Acoustic Detection of Logging in Wireless Sensor Networks
201411
11 201710
12
Estimation of Urbanization Using Visual Features of Satellite Images
20129
13 19999
14 20078
15 20227
16 20146
17 20215
18 20185
19 19965
20 20225

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 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), Advanced Image and Video Retrieval Techniques (8 papers), Industrial Vision Systems and Defect Detection (7 papers), Advanced Image Processing Techniques (7 papers), Image Retrieval and Classification Techniques (6 papers), Remote Sensing and LiDAR Applications (5 papers) and Video Analysis and Summarization (5 papers). The work is most often cited by research in Developmental Biology (19 citations), Computer Vision and Pattern Recognition (126 citations), Signal Processing (47 citations), Industrial and Manufacturing Engineering (24 citations) and Ecology, Evolution, Behavior and Systematics (44 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, Tibor Krenács, Béla Molnár and Tamás Micsík. Their work appears in journals such as International Journal of Circuit Theory and Applications, SMPTE Motion Imaging Journal, Diagnostic Pathology, IEEE Access and Machine Vision and Applications.

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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