Ratko Grbić
- Control and Systems Engineering top 2%
- Mechanical Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Analytical Chemistry top 5%
- Co-authors
- Petr KadlecBogdan GabryśDražen SliškovićŽeljko HocenskiRudolf ScitovskiEmmanuel Karlo NyarkoMario VranješRobert Cupec
- Topics
- Autonomous Vehicle Technology and Safety (17 papers)Fault Detection and Control Systems (10 papers)Advanced Neural Network Applications (10 papers)
In The Last Decade
Ratko Grbić
58 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Control and Systems Engineering 591
- Mechanical Engineering 248
- Computer Vision and Pattern Recognition 197
- Artificial Intelligence 178
- Analytical Chemistry 135
Countries citing papers authored by Ratko Grbić
This map shows the geographic impact of Ratko Grbić'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 Ratko Grbić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ratko Grbić more than expected).
Fields of papers citing papers by Ratko Grbić
This network shows the impact of papers produced by Ratko Grbić. 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 Ratko Grbić. The network helps show where Ratko Grbić may publish in the future.
Co-authorship network of co-authors of Ratko Grbić
This figure shows the co-authorship network connecting the top 25 collaborators of Ratko Grbić. A scholar is included among the top collaborators of Ratko Grbić 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 Ratko Grbić. Ratko Grbić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 26 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 26 | |
| 15 | 12 | |
| 16 | Multivariate statistical process monitoring | 22 |
| 17 | DETECTION OF DOMINANT PLANAR SURFACES IN DISPARITY IMAGES BASED ON RANDOM SAMPLING | 1 |
| 18 | Metode modeliranja na pogonskim podacima za razvoj soft-senzora | 4 |
| 19 | Online data preprocessing in the adaptive process model building based on plant data | 5 |
| 20 | Fault tolerant system in a process measurement system based on the PCA method | 3 |
About Ratko Grbić
Ratko Grbić is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Media Technology, having authored 65 papers that have together received 1.1k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (17 papers), Fault Detection and Control Systems (10 papers) and Advanced Neural Network Applications (10 papers). The work is most often cited by research in Control and Systems Engineering (591 citations), Analytical Chemistry (135 citations) and Computer Vision and Pattern Recognition (197 citations). Ratko Grbić has collaborated with scholars based in Croatia, Serbia and Germany. Frequent co-authors include Petr Kadlec, Bogdan Gabryś, Dražen Slišković, Željko Hocenski, Rudolf Scitovski, Emmanuel Karlo Nyarko, Mario Vranješ, Robert Cupec, Nikola Teslić and Kristian Sabo. Their work appears in journals such as Expert Systems with Applications, Pattern Recognition and Applied Mathematics and Computation.
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.