Žan Gojčič

2.6k citations
27 papers · 1.3k indexed · 2 hit papers · h-index 15
Topics
3D Shape Modeling and Analysis (11 papers)Remote Sensing and LiDAR Applications (9 papers)Advanced Vision and Imaging (8 papers)

In The Last Decade

Žan Gojčič

24 papers receiving 1.3k citations

Hit Papers

PREDATOR: Registration of 3D Point Clouds with Low Overlap201920262021202320212019100200300400

Peers

Žan Gojčič
Comparison fields: 5 of 71
  • Geology 682
  • Computational Mechanics 654
  • Aerospace Engineering 646
  • Computer Vision and Pattern Recognition 527
  • Environmental Engineering 374
Replace Zhihua Wang with:
Zhihua Wang United Kingdom
François Goulette France
Frank C. Langbein United Kingdom
Jan Elseberg Germany
Jean‐Emmanuel Deschaud France
Dorit Borrmann Germany
Yuchun Huang China
David Gallup United States
Beatriz Marcotegui France
Žan Gojčič relative to Zhihua Wang United Kingdom Zhihua Wang's profile →
Citations per field
00.5×4.7×
Zhihua Wang · 1×
Citations per year

Countries citing papers authored by Žan Gojčič

Since Specialization
Citations

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

Fields of papers citing papers by Žan Gojčič

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Žan Gojčič

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 1
5 30
6 21
7 24
8 38
9 6
10 15
11 32
12 24
13
PREDATOR: Registration of 3D Point Clouds with Low Overlapbreakdown →
400
14 37
15 4
16 5
17 119
18
Feature-based approaches for geomonitoring using terrestrial laser scanning point clouds
1
19 13
20
Synchronization routine for real-time synchronization of robotic total stations
4

About Žan Gojčič

Žan Gojčič is a scholar working on Computer Graphics and Computer-Aided Design, Geology and Environmental Engineering, having authored 27 papers that have together received 1.3k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (11 papers), Remote Sensing and LiDAR Applications (9 papers) and Advanced Vision and Imaging (8 papers). The work is most often cited by research in Geology (682 citations), Computer Graphics and Computer-Aided Design (153 citations) and Computational Mechanics (654 citations). Žan Gojčič has collaborated with scholars based in Switzerland, United States and Canada. Frequent co-authors include Andreas Wieser, Caifa Zhou, Jan Dirk Wegner, Shengyu Huang, Konrad Schindler, Mikhail Usvyatsov, Leonidas Guibas, Tolga Birdal, Or Litany and Sanja Fidler. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and ACM Transactions on Graphics.

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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