Robert Cupec
-
- Advanced Vision and Imaging 13
- Advanced Image and Video Retrieval Techniques 11
- Image and Object Detection Techniques 8
- Geology top 10%
- 3D Surveying and Cultural Heritage 7
- Aerospace Engineering top 10%
- Robotics and Sensor-Based Localization 30
- Occupational Therapy top 10%
-
- 3D Shape Modeling and Analysis 7
-
- Robot Manipulation and Learning 6
-
- Robotic Locomotion and Control 6
Robert Cupec
46 papers receiving 419 citations
Peers
Comparison fields: 5 of 71
- Computer Vision and Pattern Recognition 207
- Geology 45
- Aerospace Engineering 170
- Environmental Engineering 59
- Occupational Therapy 17
Countries citing papers authored by Robert Cupec
This map shows the geographic impact of Robert Cupec'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 Robert Cupec with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Cupec more than expected).
Fields of papers citing papers by Robert Cupec
This network shows the impact of papers produced by Robert Cupec. 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 Robert Cupec. The network helps show where Robert Cupec may publish in the future.
Co-authorship network
The 15 scholars most cited alongside Robert Cupec, 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 | 2023 | 4 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 2 | |
| 5 | 2021 | 1 | |
| 6 | 2020 | 3 | |
| 7 | 2018 | 2 | |
| 8 | 2018 | 20 | |
| 9 | 2018 | 4 | |
| 10 | 2018 | 2 | |
| 11 | 2018 | 47 | |
| 12 | 2017 | 6 | |
| 13 | 2015 | 19 | |
| 14 | DETECTION OF DOMINANT PLANAR SURFACES IN DISPARITY IMAGES BASED ON RANDOM SAMPLING | 2011 | 1 |
| 15 | Fast 2.5D Mesh Segmentation to Approximately Convex Surfaces | 2011 | 5 |
| 16 | Free Space Representation for Biped Walking Robots | 2009 | 1 |
| 17 | Geometrically Constrained RANSAC for Stereo Image Registration in Presence of High Ambiguity in Feature Correspondence | 2009 | 1 |
| 18 | RANSAC-Based Stereo Image Registration with Geometrically Constrained Hypothesis Generation | 2009 | 1 |
| 19 | Stereo Image Registration Based on RANSAC with Selective Hypothesis Generation | 2009 | 2 |
| 20 | Vision-Guided Walking in a Structured Indoor Scenario | 2005 | 11 |
About Robert Cupec
Robert Cupec is a scholar working on Computer Vision and Pattern Recognition, Geology, Aerospace Engineering, Computational Mechanics and Control and Systems Engineering, having authored 46 papers that have together received 442 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (30 papers), Advanced Vision and Imaging (13 papers), Advanced Image and Video Retrieval Techniques (11 papers), Image and Object Detection Techniques (8 papers), 3D Surveying and Cultural Heritage (7 papers), 3D Shape Modeling and Analysis (7 papers), Robot Manipulation and Learning (6 papers) and Robotic Locomotion and Control (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (207 citations), Geology (45 citations), Aerospace Engineering (170 citations), Environmental Engineering (59 citations) and Occupational Therapy (17 citations). Robert Cupec has collaborated with scholars based in Croatia, Germany and Spain. Frequent co-authors include Ivan Vidović, Emmanuel Karlo Nyarko, Željko Hocenski, G. Schmidt, Ivan Petrović, Ratko Grbić, Amos Albert, Kristian Sabo, Rudolf Scitovski and Peter S. Gural. Their work appears in journals such as Robotics and Autonomous Systems, Expert Systems with Applications, Pattern Recognition, Sensors and Advanced Robotics.
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.