Ivan Marković
Impact in
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- Advanced Vision and Imaging
- Robotic Path Planning Algorithms
- Video Surveillance and Tracking Methods
- Aerospace Engineering top 5%
- Robotics and Sensor-Based Localization
Papers in
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- Advanced Vision and Imaging 15
- Robotic Path Planning Algorithms 11
- Video Surveillance and Tracking Methods 11
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- Robotics and Sensor-Based Localization 36
- Co-authors
- Ivan K. Petrovic (66 shared papers)Josip Ćesić (17 shared papers)Igor Cvišić (11 shared papers)Tomislav Petković (6 shared papers)Björn Hein (1 shared paper)François Chaumette (1 shared paper)Marija Seder (5 shared papers)Daniel Pfeiffer (1 shared paper)
In The Last Decade
Ivan Marković
77 papers receiving 992 citations
Peers
Comparison fields: 5 of 90
- Computer Vision and Pattern Recognition 416
- Aerospace Engineering 470
- Instrumentation 60
- Geology 83
- Industrial and Manufacturing Engineering 89
Countries citing papers authored by Ivan Marković
This map shows the geographic impact of Ivan Marković'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 Ivan Marković with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Marković more than expected).
Fields of papers citing papers by Ivan Marković
This network shows the impact of papers produced by Ivan Marković. 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 Ivan Marković. The network helps show where Ivan Marković may publish in the future.
Co-authors
The 24 scholars most cited alongside Ivan Marković, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 105 | |
| 2 | 2018 | 88 | |
| 3 | 2016 | 61 | |
| 4 | 2018 | 53 | |
| 5 | 2014 | 48 | |
| 6 | 2010 | 47 | |
| 7 | 2021 | 42 | |
| 8 | 2022 | 39 | |
| 9 | 2020 | 37 | |
| 10 | 2021 | 29 | |
| 11 | 2017 | 29 | |
| 12 | 2009 | 28 | |
| 13 | 2017 | 19 | |
| 14 | 2012 | 19 | |
| 15 | 2022 | 19 | |
| 16 | 2017 | 18 | |
| 17 | 2019 | 17 | |
| 18 | 2015 | 15 | |
| 19 | 2020 | 15 | |
| 20 | 2018 | 15 |
About Ivan Marković
Ivan Marković is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Signal Processing and Automotive Engineering, having authored 81 papers that have together received 1.0k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (36 papers), Target Tracking and Data Fusion in Sensor Networks (21 papers), Advanced Vision and Imaging (15 papers), Robotic Path Planning Algorithms (11 papers), Video Surveillance and Tracking Methods (11 papers), Autonomous Vehicle Technology and Safety (8 papers), Bayesian Methods and Mixture Models (7 papers) and Indoor and Outdoor Localization Technologies (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (416 citations), Aerospace Engineering (470 citations), Instrumentation (60 citations), Geology (83 citations) and Industrial and Manufacturing Engineering (89 citations). Ivan Marković has collaborated with scholars based in Croatia, France and Czechia. Frequent co-authors include Ivan K. Petrovic, Josip Ćesić, Igor Cvišić, Tomislav Petković, Björn Hein, François Chaumette, Marija Seder, Daniel Pfeiffer, Ingo M. Weber and Dana Kulić. Their work appears in journals such as Robotics and Autonomous Systems, IEEE Transactions on Robotics, IEEE Signal Processing Letters, Applied Soft Computing 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.