Ivan Vidović

562 total citations
16 papers, 461 citations indexed

About

Ivan Vidović is a scholar working on Computer Vision and Pattern Recognition, Environmental Engineering and Aerospace Engineering. According to data from OpenAlex, Ivan Vidović has authored 16 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 4 papers in Environmental Engineering and 4 papers in Aerospace Engineering. Recurrent topics in Ivan Vidović's work include Image and Object Detection Techniques (5 papers), Smart Agriculture and AI (4 papers) and Remote Sensing and LiDAR Applications (4 papers). Ivan Vidović is often cited by papers focused on Image and Object Detection Techniques (5 papers), Smart Agriculture and AI (4 papers) and Remote Sensing and LiDAR Applications (4 papers). Ivan Vidović collaborates with scholars based in Croatia, Spain and Germany. Ivan Vidović's co-authors include Ralf Ficner, Stephanie Nottrott, Klaus Hartmuth, Reinhard Lührmann, Robert Cupec, Željko Hocenski, Rudolf Scitovski, Emmanuel Karlo Nyarko, Ratko Grbić and Sergi Foix and has published in prestigious journals such as Molecular Cell, Expert Systems with Applications and Pattern Recognition.

In The Last Decade

Ivan Vidović

16 papers receiving 452 citations

Peers

Ivan Vidović

MB

PS

CVPR

EE

ECOLO

Jiawei Yan China

R. C. Harrell United States

Yunzhi Wu China

Lina Yang China

Yiyan Lin United States

Jianlong Wang China

Xiaomei Yi China

Teng Long China

Binghao Liu China

Yali Feng China

Jiawei Yan China

Ivan Vidović

52 ×0.2

MB

158 ×1.2

PS

123 ×1.5

CVPR

72 ×1.7

EE

92 ×2.2

ECOLO

Citations per year, relative to Ivan Vidović Ivan Vidović (= 1×) peers Jiawei Yan

Countries citing papers authored by Ivan Vidović

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ivan Vidović

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Vidović. A scholar is included among the top collaborators of Ivan Vidović 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 Ivan Vidović. Ivan Vidović is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

1.

Grbić, Ratko, et al.. (2023). Towards fully synthetic training of 3D indoor object detectors: Ablation study. Expert Systems with Applications. 232. 120723–120723. 4 indexed citations

2.

Cupec, Robert, et al.. (2023). Teaching a Robot Where Doors and Drawers Are and How To Handle Them. QRU Quaderns de Recerca en Urbanisme. 2288–2294. 1 indexed citations

3.

Vidović, Ivan, et al.. (2023). Chaos Robustness and Computation Complexity of Piecewise Linear and Smooth Chaotic Chua’s System. International Journal of Bifurcation and Chaos. 33(4). 8 indexed citations

4.

Vidović, Ivan, et al.. (2020). Semantic Component Association within Object Classes Based on Convex Polyhedrons. Applied Sciences. 10(8). 2641–2641. 3 indexed citations

5.

Cupec, Robert, et al.. (2020). Object recognition based on convex hull alignment. Pattern Recognition. 102. 107199–107199. 18 indexed citations

6.

Nyarko, Emmanuel Karlo, et al.. (2018). A nearest neighbor approach for fruit recognition in RGB-D images based on detection of convex surfaces. Expert Systems with Applications. 114. 454–466. 47 indexed citations

7.

Vidović, Ivan, et al.. (2016). Semi-automatic prototype system for bacterial colony counting. 205–210. 5 indexed citations

8.

Scitovski, Rudolf, et al.. (2016). A new fast fuzzy partitioning algorithm. Expert Systems with Applications. 51. 143–150. 6 indexed citations

9.

Vidović, Ivan, Robert Cupec, & Željko Hocenski. (2016). Crop row detection by global energy minimization. Pattern Recognition. 55. 68–86. 71 indexed citations

10.

Hocenski, Željko, et al.. (2016). Technology transfer of computer vision defect detection to ceramic tiles industry. 301–305. 15 indexed citations

11.

Vidović, Ivan, et al.. (2014). A new fusion algorithm for fuzzy clustering. Croatian Operational Research Review. 5(2). 149–159. 2 indexed citations

12.

Vidović, Ivan & Rudolf Scitovski. (2014). Center-based clustering for line detection and application to crop rows detection. Computers and Electronics in Agriculture. 109. 212–220. 27 indexed citations

13.

Cupec, Robert, et al.. (2014). Point Cloud Segmentation to Approximately Convex Surfaces for Fruit Recognition. 56–61. 8 indexed citations

14.

Vidović, Ivan, et al.. (2013). Real Time Contour Based Ceramic Tile Edge and Corner Defects Detection. 20(6). 1063–1070. 7 indexed citations

15.

Vidović, Ivan, et al.. (2013). Edge and Corner Defects Detection on Crude Ceramic Tiles. 1 indexed citations

16.

Vidović, Ivan, Stephanie Nottrott, Klaus Hartmuth, Reinhard Lührmann, & Ralf Ficner. (2000). Crystal Structure of the Spliceosomal 15.5kD Protein Bound to a U4 snRNA Fragment. Molecular Cell. 6(6). 1331–1342. 238 indexed citations

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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