Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
A state of the art in structured light patterns for surface profilometry
2010629 citationsJoaquím Salví, Sergio Fernández Romero et al.Pattern Recognitionprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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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
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-authorship network of co-authors of Tomislav Pribanić
This figure shows the co-authorship network connecting the top 25 collaborators of Tomislav Pribanić.
A scholar is included among the top collaborators of Tomislav Pribanić 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 Tomislav Pribanić. Tomislav Pribanić is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Abram, David, et al.. (2012). A brief introduction to OpenCV. International Convention on Information and Communication Technology, Electronics and Microelectronics. 1725–1730.176 indexed citations
13.
Cifrek, Mario, et al.. (2012). Biomechanical scale for dynamic human body posture analysis. 206–210.1 indexed citations
Pribanić, Tomislav, Stanislav Peharec, & Vladimir Medved. (2009). Usporedba kalibracije ravninom i kalibracije štapom za trodimenzijske sustave. Kinesiology. 41(2). 147–155.1 indexed citations
16.
Pribanić, Tomislav, Stanislav Peharec, & Vladimir Medved. (2009). A COMPARISON BETWEEN 2D PLATE CALIBRATION AND WAND CALIBRATION FOR 3D KINEMATIC SYSTEMS. University of Zagreb University Computing Centre (SRCE). 41(2). 147–155.5 indexed citations
17.
Pribanić, Tomislav, et al.. (2008). CALIBRATION OF 3D KINEMATIC SYSTEMS USING 2D CALIBRATION PLATE. ISBS - Conference Proceedings Archive. 1(1).8 indexed citations
18.
Pribanić, Tomislav, Mario Cifrek, & Stanislav Peharec. (2006). Simplified Light Plane Determination during Structured Light Scanning. University of Zagreb University Computing Centre (SRCE). 47. 141–147.1 indexed citations
19.
Pribanić, Tomislav, Mario Cifrek, & Stanislav Peharec. (2004). 3D shape recovery with no explicit video projector calibration. Digital Library (University of West Bohemia). 137–140.1 indexed citations
20.
Kasović, Mario, Tomislav Pribanić, & Vladimir Medved. (2002). Take-off and landing properties in top-level football players: a ground reaction force study. 34(2). 182–191.4 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.