Ivan Vidović
Impact in
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- Industrial Vision Systems and Defect Detection
Papers in
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- Image and Object Detection Techniques 5
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- Remote Sensing and LiDAR Applications 4
- Co-authors
- Ralf Ficner (1 shared paper)Klaus Hartmuth (1 shared paper)Reinhard Lührmann (1 shared paper)Stephanie Nottrott (1 shared paper)Robert Cupec (7 shared papers)Željko Hocenski (4 shared papers)Rudolf Scitovski (3 shared papers)Emmanuel Karlo Nyarko (2 shared papers)
In The Last Decade
Ivan Vidović
16 papers receiving 452 citations
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 80
- Industrial and Manufacturing Engineering 38
- Plant Science 129
- Molecular Biology 237
- Environmental Engineering 43
Countries citing papers authored by Ivan Vidović
This map shows the geographic impact of Ivan Vidović'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 Ivan Vidović with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Vidović more than expected).
Fields of papers citing papers by Ivan Vidović
This network shows the impact of papers produced by Ivan Vidović. 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 Ivan Vidović. The network helps show where Ivan Vidović may publish in the future.
Co-authors
The 11 scholars most cited alongside Ivan Vidović, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 238 | |
| 2 | 2016 | 71 | |
| 3 | 2018 | 47 | |
| 4 | 2014 | 27 | |
| 5 | 2020 | 18 | |
| 6 | 2016 | 15 | |
| 7 | 2014 | 8 | |
| 8 | 2023 | 8 | |
| 9 | Real Time Contour Based Ceramic Tile Edge and Corner Defects Detection | 2013 | 7 |
| 10 | 2016 | 6 | |
| 11 | 2016 | 5 | |
| 12 | 2023 | 4 | |
| 13 | 2020 | 3 | |
| 14 | 2014 | 2 | |
| 15 | 2023 | 1 | |
| 16 | Edge and Corner Defects Detection on Crude Ceramic Tiles | 2013 | 1 |
About Ivan Vidović
Ivan Vidović is a scholar working on Computer Vision and Pattern Recognition, Environmental Engineering, Aerospace Engineering, Plant Science and Industrial and Manufacturing Engineering, having authored 16 papers that have together received 461 indexed citations. Recurring topics across this work include Image and Object Detection Techniques (5 papers), Robotics and Sensor-Based Localization (4 papers), Industrial Vision Systems and Defect Detection (4 papers), Remote Sensing and LiDAR Applications (4 papers), Smart Agriculture and AI (4 papers), 3D Shape Modeling and Analysis (2 papers), Advanced Clustering Algorithms Research (2 papers) and Image Processing Techniques and Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (80 citations), Industrial and Manufacturing Engineering (38 citations), Plant Science (129 citations), Molecular Biology (237 citations) and Environmental Engineering (43 citations). Ivan Vidović has collaborated with scholars based in Croatia, Germany and Spain. Frequent co-authors include Ralf Ficner, Klaus Hartmuth, Reinhard Lührmann, Stephanie Nottrott, Robert Cupec, Željko Hocenski, Rudolf Scitovski, Emmanuel Karlo Nyarko, Ratko Grbić and Sergi Foix. Their work appears in journals such as Expert Systems with Applications, Pattern Recognition, International Journal of Bifurcation and Chaos, Applied Sciences and Computers and Electronics in Agriculture.
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.