Robert C. Leishman

590 total citations
37 papers, 427 citations indexed

About

Robert C. Leishman is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Robert C. Leishman has authored 37 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Aerospace Engineering, 14 papers in Computer Vision and Pattern Recognition and 14 papers in Artificial Intelligence. Recurrent topics in Robert C. Leishman's work include Target Tracking and Data Fusion in Sensor Networks (13 papers), Robotic Path Planning Algorithms (12 papers) and Robotics and Sensor-Based Localization (12 papers). Robert C. Leishman is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (13 papers), Robotic Path Planning Algorithms (12 papers) and Robotics and Sensor-Based Localization (12 papers). Robert C. Leishman collaborates with scholars based in United States. Robert C. Leishman's co-authors include Timothy W. McLain, Randal W. Beard, Randy Beard, Kenneth W. Chase, Greg Droge, Kyle Kauffman, John Raquet, Aaron Canciani, Jason N. Gross and A. Rutkowski and has published in prestigious journals such as IEEE Transactions on Aerospace and Electronic Systems, SAE technical papers on CD-ROM/SAE technical paper series and Journal of Guidance Control and Dynamics.

In The Last Decade

Robert C. Leishman

33 papers receiving 411 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert C. Leishman United States 10 309 185 148 107 46 37 427
Emil Fresk Sweden 10 268 0.9× 227 1.2× 192 1.3× 32 0.3× 71 1.5× 21 466
Olov Andersson Sweden 9 166 0.5× 100 0.5× 179 1.2× 75 0.7× 29 0.6× 26 373
Kelsey Saulnier United States 6 222 0.7× 203 1.1× 128 0.9× 62 0.6× 130 2.8× 7 504
Guanglei Meng China 11 219 0.7× 72 0.4× 137 0.9× 98 0.9× 51 1.1× 37 364
Hadi Nobahari Iran 12 186 0.6× 100 0.5× 56 0.4× 155 1.4× 32 0.7× 45 419
Panos Marantos Greece 8 178 0.6× 206 1.1× 99 0.7× 61 0.6× 43 0.9× 15 364
Valerio Scordamaglia Italy 12 106 0.3× 199 1.1× 100 0.7× 76 0.7× 86 1.9× 34 349
Thomas Dall Larsen Denmark 5 153 0.5× 158 0.9× 101 0.7× 118 1.1× 57 1.2× 8 325
Yang Lyu China 11 342 1.1× 76 0.4× 210 1.4× 71 0.7× 101 2.2× 43 481

Countries citing papers authored by Robert C. Leishman

Since Specialization
Citations

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

Fields of papers citing papers by Robert C. Leishman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert C. Leishman. 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 Robert C. Leishman. The network helps show where Robert C. Leishman may publish in the future.

Co-authorship network of co-authors of Robert C. Leishman

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

All Works

20 of 20 papers shown
1.
Droge, Greg, et al.. (2025). Path planning with uncertainty for aircraft under threat of detection from ground-based radar. The Journal of Defense Modeling and Simulation Applications Methodology Technology. 2 indexed citations
2.
Leishman, Robert C., et al.. (2023). Sensitivity of the Probability of Radar Detection to Radar State Uncertainty. IEEE Transactions on Aerospace and Electronic Systems. 59(6). 9740–9747. 2 indexed citations
3.
Leishman, Robert C., et al.. (2022). A Framework for Collaborative All-Source Navigation With Fault Detection and Exclusion. IEEE Transactions on Aerospace and Electronic Systems. 58(5). 4615–4625. 4 indexed citations
4.
Lamont, Gary B., et al.. (2021). Multi-objective database queries in combined knapsack and set covering problem domains. Journal Of Big Data. 8(1). 46–46.
5.
Leishman, Robert C., et al.. (2021). Aircraft Inspection by Multirotor UAV Using Coverage Path Planning. 575–581. 10 indexed citations
6.
Leishman, Robert C., et al.. (2021). Resilience for Multi-filter All-source Navigation Framework with Integrity. 2 indexed citations
7.
Droge, Greg, et al.. (2021). Closed-Loop Linear Covariance Framework for Path Planning in Static Uncertain Obstacle Fields. Journal of Guidance Control and Dynamics. 45(4). 669–683. 6 indexed citations
8.
Leishman, Robert C., et al.. (2021). Evaluation of Sensor-Agnostic All-Source Residual Monitoring for Navigation. Proceedings of the Institute of Navigation ... International Technical Meeting/Proceedings of the ... International Technical Meeting of The Institute of Navigation. 5 indexed citations
9.
Leishman, Robert C., et al.. (2021). Artificial Dataset Generation for Automated Aircraft Visual Inspection. 302–306. 3 indexed citations
10.
Kabban, Christine M. Schubert, et al.. (2020). Real-time Trajectory Optimization for Collaborative Self-Localization in Random Aircraft Formations. 34 3. 118–124.
11.
Kauffman, Kyle, et al.. (2020). Scorpion: A Modular Sensor Fusion Approach for Complementary Navigation Sensors. 156–167. 7 indexed citations
12.
Leishman, Robert C. & Timothy W. McLain. (2014). Multiplicative Extended Kalman Filter for Relative Rotorcraft Navigation. Journal of Aerospace Information Systems. 12(12). 728–744. 11 indexed citations
13.
Leishman, Robert C.. (2013). A Vision-Based Relative Navigation Approach for Autonomous Multirotor Aircraft. ScholarsArchive (Brigham Young University). 4 indexed citations
14.
Leishman, Robert C., Timothy W. McLain, & Randal W. Beard. (2013). Relative navigation approach for vision-based aerial GPS-denied navigation. ScholarsArchive (Brigham Young University). 343–352. 9 indexed citations
15.
Leishman, Robert C., Timothy W. McLain, & Randal W. Beard. (2013). Relative Navigation Approach for Vision-Based Aerial GPS-Denied Navigation. Journal of Intelligent & Robotic Systems. 74(1-2). 97–111. 47 indexed citations
16.
Leishman, Robert C., et al.. (2012). Relative navigation and control of a hexacopter. ScholarsArchive (Brigham Young University). 4937–4942. 20 indexed citations
17.
Leishman, Robert C., et al.. (2011). Differential flatness based control of a rotorcraft for aggressive maneuvers. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 35 indexed citations
18.
Leishman, Robert C., et al.. (2011). Utilizing an improved rotorcraft dynamic model in state estimation. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 1 indexed citations
19.
Leishman, Robert C. & Kenneth W. Chase. (2009). A New Tool for Design and Analysis of Optimized Rack and Pinion Steering Mechanisms. SAE technical papers on CD-ROM/SAE technical paper series. 4 indexed citations
20.
Leishman, Robert C. & Kenneth W. Chase. (2009). Rack and Pinion Steering Linkage Synthesis Using an Adapted Freudenstein Approach. 1 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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