Philip Dames

1.7k total citations · 1 hit paper
31 papers, 962 citations indexed

About

Philip Dames is a scholar working on Computer Networks and Communications, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Philip Dames has authored 31 papers receiving a total of 962 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 15 papers in Artificial Intelligence and 15 papers in Aerospace Engineering. Recurrent topics in Philip Dames's work include Target Tracking and Data Fusion in Sensor Networks (13 papers), Robotics and Sensor-Based Localization (11 papers) and Robotic Path Planning Algorithms (10 papers). Philip Dames is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (13 papers), Robotics and Sensor-Based Localization (11 papers) and Robotic Path Planning Algorithms (10 papers). Philip Dames collaborates with scholars based in United States, China and Hong Kong. Philip Dames's co-authors include Vijay Kumar, Shaojie Shen, Soon‐Jo Chung, Aditya A. Paranjape, Henry Carrillo, José A. Castellanos, Jun Chen, Pratap Tokekar, Mac Schwager and Daniela Rus and has published in prestigious journals such as The International Journal of Robotics Research, IEEE Transactions on Robotics and Robotics and Autonomous Systems.

In The Last Decade

Philip Dames

28 papers receiving 932 citations

Hit Papers

A Survey on Aerial Swarm Robotics 2018 2026 2020 2023 2018 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
Philip Dames United States 14 470 468 438 235 155 31 962
Frédéric Bourgault Australia 15 834 1.8× 490 1.0× 662 1.5× 350 1.5× 118 0.8× 25 1.2k
Frank Schneider Germany 11 446 0.9× 573 1.2× 613 1.4× 156 0.7× 163 1.1× 50 1.1k
Manish Kumar United States 16 584 1.2× 271 0.6× 568 1.3× 115 0.5× 184 1.2× 89 1.1k
Yimin Deng China 20 454 1.0× 185 0.4× 370 0.8× 170 0.7× 172 1.1× 69 987
Ben Grocholsky United States 14 814 1.7× 626 1.3× 589 1.3× 438 1.9× 167 1.1× 21 1.4k
Hriday Bavle Spain 16 637 1.4× 146 0.3× 596 1.4× 184 0.8× 182 1.2× 39 1.0k
Alejandro Rodríguez-Ramos Spain 13 503 1.1× 143 0.3× 522 1.2× 189 0.8× 156 1.0× 18 913
Douglas G. Macharet Brazil 19 380 0.8× 166 0.4× 547 1.2× 84 0.4× 152 1.0× 76 810
Junhao Xiao China 18 488 1.0× 154 0.3× 519 1.2× 108 0.5× 193 1.2× 85 1.1k

Countries citing papers authored by Philip Dames

Since Specialization
Citations

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

Fields of papers citing papers by Philip Dames

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Dames

This figure shows the co-authorship network connecting the top 25 collaborators of Philip Dames. A scholar is included among the top collaborators of Philip Dames 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 Philip Dames. Philip Dames 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.
2.
Chen, Jun, et al.. (2025). Distributed Multirobot Multitarget Tracking Using Heterogeneous Limited-Range Sensors. IEEE Transactions on Robotics. 41. 1755–1772. 1 indexed citations
3.
Dames, Philip, et al.. (2025). Splat-Nav: Safe Real-Time Robot Navigation in Gaussian Splatting Maps. IEEE Transactions on Robotics. 41. 2765–2784. 15 indexed citations
4.
Dames, Philip, et al.. (2025). Comparison of stochastic optimization strategies in multi-robot multi-target tracking scenarios. Swarm Intelligence. 19(3). 215–243. 1 indexed citations
5.
Chen, Jun & Philip Dames. (2023). The Convex Uncertain Voronoi Diagram for Safe Multi-Robot Multi-Target Tracking Under Localization Uncertainty. Journal of Intelligent & Robotic Systems. 109(4).
6.
Dames, Philip, et al.. (2023). DRL-VO: Learning to Navigate Through Crowded Dynamic Scenes Using Velocity Obstacles. IEEE Transactions on Robotics. 39(4). 2700–2719. 57 indexed citations
7.
Dames, Philip, et al.. (2021). Towards Safe Navigation Through Crowded Dynamic Environments. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 4934–4940. 12 indexed citations
8.
Dames, Philip, et al.. (2021). RASCAL: Robotic Arm for Sherds and Ceramics Automated Locomotion. 4 indexed citations
9.
Chen, Jun, et al.. (2021). The semantic PHD filter for multi-class target tracking: From theory to practice. Robotics and Autonomous Systems. 149. 103947–103947. 14 indexed citations
10.
Dames, Philip, et al.. (2020). Distributed Multi-Target Search and Tracking Using a Coordinated Team of Ground and Aerial Robots. 4 indexed citations
12.
Dames, Philip. (2019). Distributed multi-target search and tracking using the PHD filter. Autonomous Robots. 44(3-4). 673–689. 44 indexed citations
13.
Dames, Philip, et al.. (2019). Centimeter-Level Recording for All: Field Experimentation with New, Affordable Geolocation Technology. Advances in Archaeological Practice. 7(4). 353–365. 13 indexed citations
14.
Carrillo, Henry, Philip Dames, Vijay Kumar, & José A. Castellanos. (2017). Autonomous robotic exploration using a utility function based on Rényi’s general theory of entropy. Autonomous Robots. 42(2). 235–256. 46 indexed citations
15.
Dames, Philip, Pratap Tokekar, & Vijay Kumar. (2017). Detecting, localizing, and tracking an unknown number of moving targets using a team of mobile robots. The International Journal of Robotics Research. 36(13-14). 1540–1553. 62 indexed citations
16.
Thakur, Dinesh, et al.. (2016). Automated System for Semantic Object Labeling With Soft-Object Recognition and Dynamic Programming Segmentation. IEEE Transactions on Automation Science and Engineering. 14(2). 820–833. 11 indexed citations
17.
Dames, Philip, Mac Schwager, Daniela Rus, & Vijay Kumar. (2015). Active Magnetic Anomaly Detection Using Multiple Micro Aerial Vehicles. IEEE Robotics and Automation Letters. 1(1). 153–160. 32 indexed citations
18.
Dames, Philip & Vijay Kumar. (2015). Autonomous Localization of an Unknown Number of Targets Without Data Association Using Teams of Mobile Sensors. IEEE Transactions on Automation Science and Engineering. 12(3). 850–864. 40 indexed citations
19.
Turpin, Matthew, et al.. (2013). Modeling, design, and control of 6-DoF flexure-based parallel mechanisms for vibratory manipulation. Mechanism and Machine Theory. 64. 111–130. 13 indexed citations
20.
Dames, Philip, Mac Schwager, Vijay Kumar, & Daniela Rus. (2012). A decentralized control policy for adaptive information gathering in hazardous environments. 2807–2813. 29 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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