Mihail Pivtoraiko

1.9k total citations · 1 hit paper
19 papers, 1.3k citations indexed

About

Mihail Pivtoraiko is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, Mihail Pivtoraiko has authored 19 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 12 papers in Aerospace Engineering and 6 papers in Control and Systems Engineering. Recurrent topics in Mihail Pivtoraiko's work include Robotic Path Planning Algorithms (18 papers), Robotics and Sensor-Based Localization (11 papers) and Robot Manipulation and Learning (3 papers). Mihail Pivtoraiko is often cited by papers focused on Robotic Path Planning Algorithms (18 papers), Robotics and Sensor-Based Localization (11 papers) and Robot Manipulation and Learning (3 papers). Mihail Pivtoraiko collaborates with scholars based in United States, Switzerland and France. Mihail Pivtoraiko's co-authors include Alonzo Kelly, Ross A. Knepper, Matthew Klingensmith, J. Andrew Bagnell, Christopher M. Dellin, Nathan Ratliff, Matt Zucker, Anca D. Dragan, Siddhartha S Srinivasa and Thomas M. Howard and has published in prestigious journals such as The International Journal of Robotics Research, IEEE Robotics & Automation Magazine and Journal of Field Robotics.

In The Last Decade

Mihail Pivtoraiko

19 papers receiving 1.2k citations

Hit Papers

CHOMP: Covariant Hamiltonian optimization for motion plan... 2013 2026 2017 2021 2013 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mihail Pivtoraiko United States 12 1.0k 604 505 241 195 19 1.3k
Matt Zucker United States 11 1.2k 1.2× 878 1.5× 588 1.2× 127 0.5× 267 1.4× 15 1.6k
Gregor Klančar Slovenia 17 759 0.7× 812 1.3× 274 0.5× 159 0.7× 136 0.7× 68 1.2k
W.S. Wijesoma Singapore 16 518 0.5× 382 0.6× 432 0.9× 285 1.2× 269 1.4× 67 1.2k
Robert Bohlin Sweden 14 768 0.7× 525 0.9× 380 0.8× 77 0.3× 123 0.6× 58 1.2k
Sergei Lupashin Switzerland 15 578 0.6× 586 1.0× 636 1.3× 108 0.4× 116 0.6× 19 1.2k
Kwangjin Yang South Korea 12 735 0.7× 594 1.0× 512 1.0× 143 0.6× 58 0.3× 25 1.1k
Mohamed Elbanhawi Australia 10 747 0.7× 537 0.9× 406 0.8× 408 1.7× 81 0.4× 15 1.2k
A. Jagadeesh India 9 733 0.7× 368 0.6× 331 0.7× 83 0.3× 202 1.0× 13 987
Boyu Zhou Hong Kong 16 1.3k 1.3× 377 0.6× 1.2k 2.3× 190 0.8× 155 0.8× 46 1.8k
Hsu‐Chih Huang Taiwan 19 568 0.5× 764 1.3× 168 0.3× 98 0.4× 234 1.2× 55 1.2k

Countries citing papers authored by Mihail Pivtoraiko

Since Specialization
Citations

This map shows the geographic impact of Mihail Pivtoraiko'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 Mihail Pivtoraiko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mihail Pivtoraiko more than expected).

Fields of papers citing papers by Mihail Pivtoraiko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mihail Pivtoraiko. 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 Mihail Pivtoraiko. The network helps show where Mihail Pivtoraiko may publish in the future.

Co-authorship network of co-authors of Mihail Pivtoraiko

This figure shows the co-authorship network connecting the top 25 collaborators of Mihail Pivtoraiko. A scholar is included among the top collaborators of Mihail Pivtoraiko 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 Mihail Pivtoraiko. Mihail Pivtoraiko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Bhattacharya, Subhrajit & Mihail Pivtoraiko. (2014). A Classification of Configuration Spaces of Planar Robot Arms for a Continuous Inverse Kinematics Problem. Acta Applicandae Mathematicae. 139(1). 133–166. 3 indexed citations
2.
Howard, Thomas M., Mihail Pivtoraiko, Ross A. Knepper, & Alonzo Kelly. (2014). Model-Predictive Motion Planning: Several Key Developments for Autonomous Mobile Robots. IEEE Robotics & Automation Magazine. 21(1). 64–73. 78 indexed citations
3.
Keller, James F., Dinesh Thakur, Vladimir Dobrokhodov, et al.. (2013). A Computationally Efficient Approach to Trajectory Management for Coordinated Aerial Surveillance. Unmanned Systems. 1(1). 59–74. 25 indexed citations
4.
Pivtoraiko, Mihail, Daniel Mellinger, & Vijay Kumar. (2013). Incremental micro-UAV motion replanning for exploring unknown environments. 2452–2458. 44 indexed citations
5.
Zucker, Matt, Nathan Ratliff, Anca D. Dragan, et al.. (2013). CHOMP: Covariant Hamiltonian optimization for motion planning. The International Journal of Robotics Research. 32(9-10). 1164–1193. 470 indexed citations breakdown →
6.
Das, Aveek, Dinesh Thakur, James F. Keller, et al.. (2013). R-MASTIF: robotic mobile autonomous system for threat interrogation and object fetch. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8662. 86620O–86620O. 2 indexed citations
7.
Bagnell, J. Andrew, Lei Cui, Martial Hebert, et al.. (2012). An integrated system for autonomous robotics manipulation. Figshare. 2955–2962. 71 indexed citations
8.
Kelly, Alonzo & Mihail Pivtoraiko. (2012). Differentially constrained motion planning with state lattice motion primitives. 11 indexed citations
9.
Nesnas, Issa, et al.. (2011). Autonomous rover traverse and precise arm placement on remotely designated targets. NASA Technical Reports Server (NASA). 13. 2190–2197. 3 indexed citations
10.
Pivtoraiko, Mihail & Alonzo Kelly. (2011). Kinodynamic motion planning with state lattice motion primitives. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 2172–2179. 70 indexed citations
11.
Pivtoraiko, Mihail & Alonzo Kelly. (2011). Kinodynamic motion planning with state lattice motion primitives. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 4 indexed citations
12.
Pivtoraiko, Mihail, et al.. (2010). Path Set Relaxation for Mobile Robot Navigation. Repository for Publications and Research Data (ETH Zurich). 5 indexed citations
13.
Pivtoraiko, Mihail, Ross A. Knepper, & Alonzo Kelly. (2009). Differentially constrained mobile robot motion planning in state lattices. Journal of Field Robotics. 26(3). 308–333. 272 indexed citations
14.
Pivtoraiko, Mihail, Issa Nesnas, & Alonzo Kelly. (2009). Autonomous robot navigation using advanced motion primitives. 1–7. 11 indexed citations
15.
Pivtoraiko, Mihail & Alonzo Kelly. (2008). Differentially constrained motion replanning using state lattices with graduated fidelity. 2611–2616. 21 indexed citations
16.
Kwak, Jun-young, Mihail Pivtoraiko, & Reid Simmons. (2007). Combining Cost and Reliability for Rough Terrain Navigation. 5 indexed citations
17.
Brat, Guillaume, Ewen Denney, Dimitra Giannakopoulou, et al.. (2006). A Robust Compositional Architecture for Autonomous Systems. NASA STI Repository (National Aeronautics and Space Administration). 2477. 1–8. 5 indexed citations
18.
Pivtoraiko, Mihail & Alonzo Kelly. (2005). Efficient Constrained Path Planning via Search in State Lattices. 603. 33. 71 indexed citations
19.
Pivtoraiko, Mihail & Alonzo Kelly. (2005). Generating near minimal spanning control sets for constrained motion planning in discrete state spaces. 3231–3237. 80 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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