Vladimir Ivan
Impact in
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- Robotic Path Planning Algorithms
- Advanced Vision and Imaging
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- Robot Manipulation and Learning
- Robotic Mechanisms and Dynamics
Papers in
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- Robotic Path Planning Algorithms 18
- Advanced Vision and Imaging 3
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- Robot Manipulation and Learning 11
- Robotic Mechanisms and Dynamics 9
- Co-authors
- Sethu Vijayakumar (26 shared papers)Wolfgang Merkt (10 shared papers)Yiming Yang (8 shared papers)Taku Komura (4 shared papers)Marc Toussaint (3 shared papers)Zhibin Li (2 shared papers)Ioannis Havoutis (1 shared paper)Leopoldo Armesto (3 shared papers)
- Journals
- IEEE Robotics and Automation Letters (3 papers)Sensors (2 papers)The International Journal of Robotics Research (2 papers)Autonomous Robots (1 paper)IEEE Transactions on Robotics (1 paper)
- Partner nations
- United KingdomSpainGermany
In The Last Decade
Vladimir Ivan
29 papers receiving 329 citations
Peers
Comparison fields: 5 of 42
- Computer Vision and Pattern Recognition 210
- Control and Systems Engineering 197
- Aerospace Engineering 114
- Biomedical Engineering 133
- Computer Graphics and Computer-Aided Design 7
Countries citing papers authored by Vladimir Ivan
This map shows the geographic impact of Vladimir Ivan'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 Vladimir Ivan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vladimir Ivan more than expected).
Fields of papers citing papers by Vladimir Ivan
This network shows the impact of papers produced by Vladimir Ivan. 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 Vladimir Ivan. The network helps show where Vladimir Ivan may publish in the future.
Co-authors
The 25 scholars most cited alongside Vladimir Ivan, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 33 | |
| 2 | 2013 | 26 | |
| 3 | 2017 | 23 | |
| 4 | 2016 | 22 | |
| 5 | 2016 | 21 | |
| 6 | 2014 | 20 | |
| 7 | 2022 | 18 | |
| 8 | 2012 | 18 | |
| 9 | 2018 | 15 | |
| 10 | 2013 | 14 | |
| 11 | 2017 | 14 | |
| 12 | 2015 | 12 | |
| 13 | 2019 | 12 | |
| 14 | 2018 | 12 | |
| 15 | 2018 | 11 | |
| 16 | 2022 | 11 | |
| 17 | 2017 | 11 | |
| 18 | 2019 | 8 | |
| 19 | 2017 | 6 | |
| 20 | 2013 | 5 |
About Vladimir Ivan
Vladimir Ivan is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Aerospace Engineering, Biomedical Engineering and Artificial Intelligence, having authored 30 papers that have together received 342 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (18 papers), Robotics and Sensor-Based Localization (13 papers), Robot Manipulation and Learning (11 papers), Robotic Mechanisms and Dynamics (9 papers), Robotic Locomotion and Control (9 papers), AI-based Problem Solving and Planning (3 papers), Advanced Vision and Imaging (3 papers) and Soft Robotics and Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (210 citations), Control and Systems Engineering (197 citations), Aerospace Engineering (114 citations), Biomedical Engineering (133 citations) and Computer Graphics and Computer-Aided Design (7 citations). Vladimir Ivan has collaborated with scholars based in United Kingdom, Spain and Germany. Frequent co-authors include Sethu Vijayakumar, Wolfgang Merkt, Yiming Yang, Taku Komura, Marc Toussaint, Zhibin Li, Ioannis Havoutis, Leopoldo Armesto, Maurice Fallon and Eduardo Ros. Their work appears in journals such as IEEE Robotics and Automation Letters, Sensors, The International Journal of Robotics Research, Autonomous Robots and IEEE Transactions on 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.