Josip Ćesić
- Aerospace Engineering top 5%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Geology top 10%
- Co-authors
- Ivan PetrovićIvan MarkovićIgor CvišićDana KulićHrvoje DžapoMatko OrsagStjepan BogdanMato Baotić
- Topics
- Target Tracking and Data Fusion in Sensor Networks (10 papers)Robotics and Sensor-Based Localization (8 papers)Inertial Sensor and Navigation (4 papers)
In The Last Decade
Josip Ćesić
19 papers receiving 293 citations
Peers
Comparison fields: 5 of 49
- Aerospace Engineering 198
- Computer Vision and Pattern Recognition 130
- Artificial Intelligence 80
- Electrical and Electronic Engineering 78
- Geology 35
Countries citing papers authored by Josip Ćesić
This map shows the geographic impact of Josip Ćesić'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 Josip Ćesić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Josip Ćesić more than expected).
Fields of papers citing papers by Josip Ćesić
This network shows the impact of papers produced by Josip Ćesić. 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 Josip Ćesić. The network helps show where Josip Ćesić may publish in the future.
Co-authorship network of co-authors of Josip Ćesić
This figure shows the co-authorship network connecting the top 25 collaborators of Josip Ćesić. A scholar is included among the top collaborators of Josip Ćesić 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 Josip Ćesić. Josip Ćesić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 14 | |
| 3 | 15 | |
| 4 | 16 | |
| 5 | 6 | |
| 6 | 3 | |
| 7 | 99 | |
| 8 | 9 | |
| 9 | Multitarget tracking with the von Mises-Fisher filter and probabilistic data association | 5 |
| 10 | 10 | |
| 11 | 5 | |
| 12 | 54 | |
| 13 | 15 | |
| 14 | 3 | |
| 15 | Direction-only tracking of moving objects on the unit sphere via probabilistic data association | 6 |
| 16 | Tracking of multiple moving objects on the unit sphere using a multiple-camera system on a mobile robot | 1 |
| 17 | 22 | |
| 18 | 9 | |
| 19 | 8 |
About Josip Ćesić
Josip Ćesić is a scholar working on Aerospace Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 19 papers that have together received 313 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (10 papers), Robotics and Sensor-Based Localization (8 papers) and Inertial Sensor and Navigation (4 papers). The work is most often cited by research in Aerospace Engineering (198 citations), Computer Vision and Pattern Recognition (130 citations) and Geology (35 citations). Josip Ćesić has collaborated with scholars based in Croatia, Serbia and Canada. Frequent co-authors include Ivan Petrović, Ivan Marković, Igor Cvišić, Dana Kulić, Hrvoje Džapo, Matko Orsag, Stjepan Bogdan and Mato Baotić. Their work appears in journals such as Automatica, The International Journal of Robotics Research and IEEE Transactions on Cybernetics.
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.