Nikolay Atanasov

3.8k total citations · 1 hit paper
96 papers, 2.2k citations indexed

About

Nikolay Atanasov is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Nikolay Atanasov has authored 96 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 36 papers in Computer Vision and Pattern Recognition and 36 papers in Aerospace Engineering. Recurrent topics in Nikolay Atanasov's 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). Nikolay Atanasov is often cited by papers focused on Robotics and Sensor-Based Localization (33 papers), Robotic Path Planning Algorithms (22 papers) and Target Tracking and Data Fusion in Sensor Networks (18 papers). Nikolay Atanasov collaborates with scholars based in United States, Canada and Spain. Nikolay Atanasov's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Automatica.

In The Last Decade

Nikolay Atanasov

84 papers receiving 2.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Survey on Active Simultaneous Localization and Mapping: State of the Art and New Frontiers

2023 146 citations Nikolay Atanasov et al. IEEE Transactions on Robotics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Nikolay Atanasov United States	21	1.2k	1.2k	543	436	414	96	2.2k
Ali‐akbar Agha‐mohammadi United States	27	1.0k 0.9×	987 0.8×	389 0.7×	359 0.8×	390 0.9×	98	2.0k
Yan Zhuang China	26	706 0.6×	743 0.6×	575 1.1×	303 0.7×	627 1.5×	182	2.5k
Nabil Aouf United Kingdom	21	1.4k 1.1×	1.0k 0.9×	377 0.7×	334 0.8×	194 0.5×	186	2.2k
Kartik Mohta United States	15	1.3k 1.1×	1.3k 1.1×	403 0.7×	176 0.4×	295 0.7×	27	1.8k
Kai M. Wurm Germany	14	1.9k 1.5×	1.7k 1.5×	405 0.7×	238 0.5×	237 0.6×	19	2.6k
Holger Voos Luxembourg	27	819 0.7×	776 0.7×	1.2k 2.3×	301 0.7×	408 1.0×	227	2.6k
Mark W. Mueller United States	20	844 0.7×	759 0.6×	774 1.4×	194 0.4×	272 0.7×	53	1.8k
Matthias Faessler Switzerland	10	913 0.8×	889 0.7×	396 0.7×	225 0.5×	144 0.3×	11	1.5k
Martin Saska Czechia	32	2.0k 1.6×	1.9k 1.6×	797 1.5×	227 0.5×	1.1k 2.6×	171	3.3k
José A. Castellanos Spain	26	2.1k 1.7×	1.4k 1.2×	325 0.6×	601 1.4×	224 0.5×	63	2.7k

Countries citing papers authored by Nikolay Atanasov

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

1.

Fainekos, Georgios, et al.. (2025). Neural Configuration Distance Function for Continuum Robot Control. 358–364.

2.

Hu, Yafei, et al.. (2025). Learning Generalizable Feature Fields for Mobile Manipulation. 20952–20959.

3.

Liu, Xu, et al.. (2025). SlideSLAM: Sparse, Lightweight, Decentralized Metric-Semantic SLAM for Multirobot Navigation. IEEE Transactions on Robotics. 41. 6529–6548.

4.

Duong, Thai, et al.. (2025). Physics-Informed Multiagent Reinforcement Learning for Distributed Multirobot Problems. IEEE Transactions on Robotics. 41. 4499–4517.

5.

Duong, Thai, et al.. (2024). Optimal Scene Graph Planning with Large Language Model Guidance. eScholarship (California Digital Library). 14062–14069. 9 indexed citations

6.

Duong, Thai, et al.. (2024). Port-Hamiltonian Neural ODE Networks on Lie Groups for Robot Dynamics Learning and Control. IEEE Transactions on Robotics. 40. 3695–3715. 10 indexed citations

7.

Duong, Thai, et al.. (2024). Variable-Frequency Model Learning and Predictive Control for Jumping Maneuvers on Legged Robots. IEEE Robotics and Automation Letters. 10(2). 1321–1328.

8.

Cao, Hanwen, et al.. (2024). Multi-Robot Object SLAM Using Distributed Variational Inference. IEEE Robotics and Automation Letters. 9(10). 8722–8729. 3 indexed citations

9.

Koga, Shumon, et al.. (2022). Control Synthesis for Stability and Safety by Differential Complementarity Problem. IEEE Control Systems Letters. 7. 895–900. 4 indexed citations

10.

Koga, Shumon, et al.. (2022). Active Mapping via Gradient Ascent Optimization of Shannon Mutual Information over Continuous SE(3) Trajectories. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 12994–13001. 8 indexed citations

11.

Atanasov, Nikolay, et al.. (2022). Distributed Bayesian Estimation of Continuous Variables Over Time-Varying Directed Networks. IEEE Control Systems Letters. 6. 2545–2550. 3 indexed citations

12.

Khosoussi, Kasra, et al.. (2021). Non-Monotone Energy-Aware Information Gathering for Heterogeneous Robot Teams. 8859–8865. 8 indexed citations

13.

Wang, Tianyu, et al.. (2020). Learning Navigation Costs from Demonstration with Semantic Observations. 245–255. 1 indexed citations

14.

Li, Zhichao, Ömür Arslan, & Nikolay Atanasov. (2020). Fast and Safe Path-Following Control using a State-Dependent Directional Metric. TU/e Research Portal. 6176–6182. 12 indexed citations

15.

Franceschetti, Massimo, et al.. (2020). Probabilistic Safety Constraints for Learned High Relative Degree System Dynamics. 781–792. 10 indexed citations

16.

Atanasov, Nikolay, Sean L. Bowman, Kostas Daniilidis, & George J. Pappas. (2018). A Unifying View of Geometry, Semantics, and Data Association in SLAM. 5204–5208. 18 indexed citations

17.

Ivanov, Radoslav, Nikolay Atanasov, James Weimer, et al.. (2016). Estimation of blood oxygen content using context-aware filtering. 28. 3 indexed citations

18.

Ivanov, Radoslav, Nikolay Atanasov, Miroslav Pajić, Insup Lee, & George J. Pappas. (2015). Robust Localization Using Context-Aware Filtering. ScholarlyCommons (University of Pennsylvania). 1 indexed citations

19.

Atanasov, Nikolay, et al.. (2013). Hypothesis testing framework for active object detection. PolyPublie (École Polytechnique de Montréal). 4216–4222. 18 indexed citations

20.

Atanasov, Nikolay & Taikang Ning. (2007). Quantitative delineation of heart murmurs using features derived from autoregressive modeling. 1. 167–168. 3 indexed citations

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.

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