Sven Gotovac
- Computer Vision and Pattern Recognition top 10%
- Aerospace Engineering top 10%
- Information Systems top 10%
- Artificial Intelligence
- Marketing
- Topics
- Advanced Image and Video Retrieval Techniques (7 papers)Software Engineering Techniques and Practices (6 papers)Robotics and Sensor-Based Localization (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Computer VisionRemote Sensing
- Partner nations
- CroatiaBosnia and HerzegovinaGermany
In The Last Decade
Sven Gotovac
31 papers receiving 299 citations
Peers
Comparison fields: 5 of 85
- Computer Vision and Pattern Recognition 130
- Aerospace Engineering 90
- Information Systems 46
- Artificial Intelligence 44
- Marketing 23
Countries citing papers authored by Sven Gotovac
This map shows the geographic impact of Sven Gotovac'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 Sven Gotovac with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sven Gotovac more than expected).
Fields of papers citing papers by Sven Gotovac
This network shows the impact of papers produced by Sven Gotovac. 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 Sven Gotovac. The network helps show where Sven Gotovac may publish in the future.
Co-authorship network of co-authors of Sven Gotovac
This figure shows the co-authorship network connecting the top 25 collaborators of Sven Gotovac. A scholar is included among the top collaborators of Sven Gotovac 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 Sven Gotovac. Sven Gotovac is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 15 | |
| 7 | 39 | |
| 8 | 11 | |
| 9 | 13 | |
| 10 | 4 | |
| 11 | 2 | |
| 12 | 8 | |
| 13 | Region Proposal Approach for Human Detection on Aerial Imagery | 12 |
| 14 | A model for automatic geomapping of aerial images mosaic acquired by UAV | 3 |
| 15 | 1 | |
| 16 | 6 | |
| 17 | Evaluating Expert Estimators Based on Elicited Competences | 2 |
| 18 | Mining Competences of Expert Estimators | 1 |
| 19 | 2 | |
| 20 | 26 |
About Sven Gotovac
Sven Gotovac is a scholar working on Software, Computer Vision and Pattern Recognition and Information Systems, having authored 34 papers that have together received 313 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (7 papers), Software Engineering Techniques and Practices (6 papers) and Robotics and Sensor-Based Localization (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (130 citations), Aerospace Engineering (90 citations) and Software (13 citations). Sven Gotovac has collaborated with scholars based in Croatia, Bosnia and Herzegovina and Germany. Frequent co-authors include Vladan Papić, Saša Mladenović, Mladen Russo, Dragan Poljak, Eugen Mudnić and Petar Šolić. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Computer Vision and Remote Sensing.
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.