Nikolay Atanasov
- Aerospace Engineering top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Control and Systems Engineering top 2%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Co-authors
- George J. PappasKostas DaniilidisAlex Zihao ZhuVijay KumarSean L. BowmanJérôme Le NyKartik MohtaSikang Liu
- Topics
- Robotics and Sensor-Based Localization (33 papers)Robotic Path Planning Algorithms (22 papers)Target Tracking and Data Fusion in Sensor Networks (18 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Automatic ControlAutomatica
- Partner nations
- United StatesCanadaSpain
In The Last Decade
Nikolay Atanasov
84 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Aerospace Engineering 1.2k
- Computer Vision and Pattern Recognition 1.2k
- Control and Systems Engineering 543
- Artificial Intelligence 436
- Computer Networks and Communications 414
Countries citing papers authored by Nikolay Atanasov
This map shows the geographic impact of Nikolay Atanasov'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 Nikolay Atanasov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikolay Atanasov more than expected).
Fields of papers citing papers by Nikolay Atanasov
This network shows the impact of papers produced by Nikolay Atanasov. 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 Nikolay Atanasov. The network helps show where Nikolay Atanasov may publish in the future.
Co-authorship network of co-authors of Nikolay Atanasov
This figure shows the co-authorship network connecting the top 25 collaborators of Nikolay Atanasov. A scholar is included among the top collaborators of Nikolay Atanasov 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 Nikolay Atanasov. Nikolay Atanasov 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 9 | |
| 8 | 10 | |
| 9 | 0 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | 0 | |
| 13 | 4 | |
| 14 | 12 | |
| 15 | Probabilistic Safety Constraints for Learned High Relative Degree System Dynamics | 10 |
| 16 | Learning Navigation Costs from Demonstration with Semantic Observations | 1 |
| 17 | 18 | |
| 18 | 142 | |
| 19 | 3 | |
| 20 | 18 |
About Nikolay Atanasov
Nikolay Atanasov is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence, having authored 96 papers that have together received 2.2k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (33 papers), Robotic Path Planning Algorithms (22 papers) and Target Tracking and Data Fusion in Sensor Networks (18 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Aerospace Engineering (1.2k citations) and Geology (134 citations). Nikolay Atanasov has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include George J. Pappas, Kostas Daniilidis, Alex Zihao Zhu, Vijay Kumar, Sean L. Bowman, Jérôme Le Ny, Kartik Mohta, Sikang Liu, Kelsey Saulnier and Vijay Kumar. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Automatica.
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.