Philip Dames

1.7k citations
31 papers · 962 · 1 hit paper · h-index 14

Impact in

Papers in

Philip Dames

28 papers receiving 932 citations

Philip Dames's Hit Papers

A Survey on Aerial Swarm Robotics 2018 · 406 citations
4060+2+5Years since publication100200300400

Peers

Philip Dames
Comparison fields: 5 of 84
  • Computer Vision and Pattern Recognition 438
  • Computer Networks and Communications 468
  • Aerospace Engineering 470
  • Artificial Intelligence 235
  • Space and Planetary Science 9
Replace Tiago Nascimento with:
Tiago Nascimento Brazil
Douglas G. Macharet Brazil
Frank Schneider Germany
Frédéric Bourgault Australia
Ben Grocholsky United States
Manish Kumar United States
Alejandro Rodríguez-Ramos Spain
Yimin Deng China
Kexin Guo China
Philip Dames relative to Tiago Nascimento Brazil Tiago Nascimento's profile →
Citations per field
00.5×2.5×
Tiago Nascimento · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Philip Dames, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Philip Dames Line = papers co-authored together Philip Dames links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Survey on Aerial Swarm Robotics
Hit paper breakdown →
2018406
2 201567
3 201762
4 202357
5 201746
6 201944
7 201540
8 201532
9 201229
10 202220
11 202018
12 202515
13 202015
14 202114
15 201913
16 201313
17 202112
18 201712
19 201611
20 201510

About Philip Dames

Philip Dames is a scholar working on Computer Networks and Communications, Artificial Intelligence, Aerospace Engineering, Computer Vision and Pattern Recognition and Automotive Engineering, having authored 31 papers that have together received 962 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (13 papers), Robotics and Sensor-Based Localization (11 papers), Robotic Path Planning Algorithms (10 papers), Distributed Control Multi-Agent Systems (8 papers), Distributed Sensor Networks and Detection Algorithms (6 papers), Guidance and Control Systems (3 papers), Autonomous Vehicle Technology and Safety (3 papers) and Anomaly Detection Techniques and Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (438 citations), Computer Networks and Communications (468 citations), Aerospace Engineering (470 citations), Artificial Intelligence (235 citations) and Space and Planetary Science (9 citations). Philip Dames has collaborated with scholars based in United States, China and Hong Kong. Frequent 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. Their work appears in journals such as IEEE Transactions on Robotics, Autonomous Robots, IEEE Transactions on Automation Science and Engineering, IEEE Robotics & Automation Magazine and Robotics and Autonomous Systems.

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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