Kimberly McGuire

568 total citations
9 papers, 351 citations indexed

About

Kimberly McGuire is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computer Networks and Communications. According to data from OpenAlex, Kimberly McGuire has authored 9 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 7 papers in Aerospace Engineering and 2 papers in Computer Networks and Communications. Recurrent topics in Kimberly McGuire's work include Robotics and Sensor-Based Localization (7 papers), Robotic Path Planning Algorithms (6 papers) and UAV Applications and Optimization (3 papers). Kimberly McGuire is often cited by papers focused on Robotics and Sensor-Based Localization (7 papers), Robotic Path Planning Algorithms (6 papers) and UAV Applications and Optimization (3 papers). Kimberly McGuire collaborates with scholars based in Netherlands, Germany and United States. Kimberly McGuire's co-authors include Guido de Croon, Christophe De Wagter, Karl Tuyls, Hilbert J. Kappen, Giuseppe Silano, Joseph Moore, Marin Kobilarov and Wolfgang Hönig and has published in prestigious journals such as Science Robotics, Autonomous Robots and IEEE Robotics & Automation Magazine.

In The Last Decade

Kimberly McGuire

9 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kimberly McGuire Netherlands	5	209	148	133	71	62	9	351
Timothy Stirling Switzerland	6	176 0.8×	165 1.1×	135 1.0×	54 0.8×	97 1.6×	7	343
Fabrizio Schiano Switzerland	10	176 0.8×	141 1.0×	135 1.0×	36 0.5×	55 0.9×	13	357
Haojia Li China	7	217 1.0×	124 0.8×	196 1.5×	51 0.7×	51 0.8×	8	417
Xiangyong Wen China	2	175 0.8×	116 0.8×	139 1.0×	28 0.4×	47 0.8×	3	327
Tiankai Yang China	5	247 1.2×	136 0.9×	209 1.6×	30 0.4×	57 0.9×	6	432
Jan Carlo Barca Australia	9	125 0.6×	227 1.5×	141 1.1×	38 0.5×	118 1.9×	33	428
Meysam Basiri Portugal	11	171 0.8×	199 1.3×	111 0.8×	74 1.0×	63 1.0×	29	425
Uwe R. Zimmer Australia	10	92 0.4×	156 1.1×	91 0.7×	123 1.7×	74 1.2×	39	388
Gergő Somorjai Hungary	3	215 1.0×	365 2.5×	163 1.2×	20 0.3×	112 1.8×	3	503
Nima Moshtagh United States	8	145 0.7×	385 2.6×	99 0.7×	33 0.5×	90 1.5×	20	444

Countries citing papers authored by Kimberly McGuire

Since Specialization

Citations

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

Fields of papers citing papers by Kimberly McGuire

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kimberly McGuire

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

All Works

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9 of 9 papers shown

1.

Silano, Giuseppe, et al.. (2024). Survey of Simulators for Aerial Robots: An Overview and In-Depth Systematic Comparisons [Survey]. IEEE Robotics & Automation Magazine. 32(2). 153–166. 7 indexed citations

2.

McGuire, Kimberly, et al.. (2022). Error-State Unscented Kalman-Filter for UAV Indoor Navigation. 1–8. 3 indexed citations

3.

McGuire, Kimberly, et al.. (2020). A Survey on Swarming With Micro Air Vehicles: Fundamental Challenges and Constraints. Frontiers in Robotics and AI. 7. 18–18. 84 indexed citations

4.

McGuire, Kimberly, et al.. (2019). On-board range-based relative localization for micro air vehicles in indoor leader–follower flight. Autonomous Robots. 44(3-4). 415–441. 35 indexed citations

5.

McGuire, Kimberly, Christophe De Wagter, Karl Tuyls, Hilbert J. Kappen, & Guido de Croon. (2019). Minimal navigation solution for a swarm of tiny flying robots to explore an unknown environment. Science Robotics. 4(35). 181 indexed citations

6.

McGuire, Kimberly. (2019). Indoor swarm exploration with Pocket Drones. Research Repository (Delft University of Technology). 2 indexed citations

7.

McGuire, Kimberly, et al.. (2018). On-board communication-based relative localization for collision avoidance in Micro Air Vehicle teams. Autonomous Robots. 42(8). 1787–1805. 32 indexed citations

8.

McGuire, Kimberly, et al.. (2018). Visual Homing for Micro Aerial Vehicles Using Scene Familiarity. Unmanned Systems. 6(2). 119–130. 3 indexed citations

9.

McGuire, Kimberly, et al.. (2017). Towards autonomous navigation of multiple pocket-drones in real-world environments. Data Archiving and Networked Services (DANS). 244–249. 4 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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