Tomislav Pribanić

1.8k citations
53 papers · 1.2k · 1 hit paper · h-index 13

Impact in

Papers in

Tomislav Pribanić

50 papers receiving 1.2k citations

Tomislav Pribanić's Hit Papers

A state of the art in structured light patterns for surface profilometry 2010 · 639 citations
6390+5+10Years since publication200400600

Peers

Tomislav Pribanić
Comparison fields: 5 of 115
  • Geology 311
  • Computer Vision and Pattern Recognition 948
  • Instrumentation 156
  • Media Technology 218
  • Human-Computer Interaction 52
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Joan Batlle Spain
Junhua Sun China
David Fofi France
Beiwen Li United States
João P. Barreto Portugal
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Victor Adrian Prisacariu United Kingdom
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Seungkyu Lee South Korea
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Countries citing papers authored by Tomislav Pribanić

Since Specialization
Citations

This map shows the geographic impact of Tomislav Pribanić'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 Tomislav Pribanić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomislav Pribanić more than expected).

Fields of papers citing papers by Tomislav Pribanić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tomislav Pribanić. 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 Tomislav Pribanić. The network helps show where Tomislav Pribanić may publish in the future.

Co-authors

The 20 scholars most cited alongside Tomislav Pribanić, 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 Tomislav Pribanić Line = papers co-authored together Tomislav Pribanić links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A state of the art in structured light patterns for surface profilometry
Hit paper breakdown →
2010639
2
A brief introduction to OpenCV
2012177
3 202164
4 201055
5 201624
6 201622
7 200921
8 201815
9 202215
10 201713
11 201113
12 201712
13 200712
14 201712
15 201612
16 201910
17 200910
18 20109
19
CALIBRATION OF 3D KINEMATIC SYSTEMS USING 2D CALIBRATION PLATE
20088
20 20157

About Tomislav Pribanić

Tomislav Pribanić is a scholar working on Computer Vision and Pattern Recognition, Geology, Aerospace Engineering, Computational Mechanics and Instrumentation, having authored 53 papers that have together received 1.2k indexed citations. Recurring topics across this work include Optical measurement and interference techniques (29 papers), Advanced Vision and Imaging (22 papers), 3D Surveying and Cultural Heritage (21 papers), Robotics and Sensor-Based Localization (11 papers), 3D Shape Modeling and Analysis (7 papers), Advanced Optical Sensing Technologies (6 papers), Image Processing Techniques and Applications (5 papers) and Augmented Reality Applications (5 papers). The work is most often cited by research in Geology (311 citations), Computer Vision and Pattern Recognition (948 citations), Instrumentation (156 citations), Media Technology (218 citations) and Human-Computer Interaction (52 citations). Tomislav Pribanić has collaborated with scholars based in Croatia, Spain and France. Frequent co-authors include Joaquím Salví, Xavier Lladó, Tomislav Petković, Hrvoje Džapo, Mario Cifrek, David Abram, David C. Bojanic, Peter Sturm, Stanislav Peharec and Nicola D'Apuzzo. Their work appears in journals such as Machine Vision and Applications, Pattern Recognition, Sensors, IEEE Access and Optics and Lasers in Engineering.

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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