Miroslav Kulich
- Computer Vision and Pattern Recognition top 2%
- Aerospace Engineering top 5%
- Control and Systems Engineering top 10%
- Mechanical Engineering
- Computer Networks and Communications top 10%
- Co-authors
- Libor PřeučilJan FaiglHerman BruyninckxTomáš KrajníkVojtěch VonásekJan ChudobaDaniel FišerJuan José Miranda‐Bront
- Topics
- Robotic Path Planning Algorithms (32 papers)Robotics and Sensor-Based Localization (23 papers)Optimization and Search Problems (16 papers)
- Cited by
- Computer Vision and Pattern RecognitionAerospace EngineeringIndustrial and Manufacturing Engineering
- Journals
- SHILAP Revista de lepidopterologíaSensorsNeurocomputing
- Partner nations
- CzechiaUnited KingdomArgentina
In The Last Decade
Miroslav Kulich
52 papers receiving 656 citations
Peers
Comparison fields: 5 of 84
- Computer Vision and Pattern Recognition 371
- Aerospace Engineering 288
- Control and Systems Engineering 148
- Mechanical Engineering 133
- Computer Networks and Communications 132
Countries citing papers authored by Miroslav Kulich
This map shows the geographic impact of Miroslav Kulich'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 Miroslav Kulich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miroslav Kulich more than expected).
Fields of papers citing papers by Miroslav Kulich
This network shows the impact of papers produced by Miroslav Kulich. 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 Miroslav Kulich. The network helps show where Miroslav Kulich may publish in the future.
Co-authorship network of co-authors of Miroslav Kulich
This figure shows the co-authorship network connecting the top 25 collaborators of Miroslav Kulich. A scholar is included among the top collaborators of Miroslav Kulich 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 Miroslav Kulich. Miroslav Kulich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 10 | |
| 7 | 12 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 9 | |
| 11 | 4 | |
| 12 | 5 | |
| 13 | 20 | |
| 14 | Self-organizing map for determination of goal candidates in mobile robot exploration | 0 |
| 15 | 11 | |
| 16 | 22 | |
| 17 | 35 | |
| 18 | 46 | |
| 19 | 21 | |
| 20 | AN INTELLIGENT SERVICE VEHICLE FOR INDOOR ENVIRONMENTS | 1 |
About Miroslav Kulich
Miroslav Kulich is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Aerospace Engineering, having authored 56 papers that have together received 696 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (32 papers), Robotics and Sensor-Based Localization (23 papers) and Optimization and Search Problems (16 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (371 citations), Aerospace Engineering (288 citations) and Industrial and Manufacturing Engineering (76 citations). Miroslav Kulich has collaborated with scholars based in Czechia, United Kingdom and Argentina. Frequent co-authors include Libor Přeučil, Jan Faigl, Herman Bruyninckx, Tomáš Krajník, Vojtěch Vonásek, Jan Chudoba, Daniel Fišer, Juan José Miranda‐Bront, Tom Duckett and Rareş Ambruş. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and Neurocomputing.
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.