Amanda Prorok

53 papers receiving 1.5k citations

Peers

Amanda Prorok
Comparison fields: 5 of 76
  • Computer Networks and Communications 676
  • Computer Vision and Pattern Recognition 570
  • Artificial Intelligence 443
  • Aerospace Engineering 338
  • Control and Systems Engineering 311
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Sidney Givigi Canada
Lihua Dou China
Nora Ayanian United States
David Portugal Portugal
Qidan Zhu China
Edward Tunstel United States
Andrea Gasparri Italy
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Roberto Sepúlveda Mexico
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Countries citing papers authored by Amanda Prorok

Since Specialization
Citations

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

Fields of papers citing papers by Amanda Prorok

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Amanda Prorok, 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 Amanda Prorok Line = papers co-authored together Amanda Prorok links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020248
2 2020174
3 2017132
4 2021122
5 201787
6 201761
7 202256
8 201247
9 201745
10 201344
11 202036
12 201135
13 201234
14 202234
15 201033
16 201130
17 202025
18 201724
19 201724
20 202222

About Amanda Prorok

Amanda Prorok is a scholar working on Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Aerospace Engineering, having authored 59 papers that have together received 1.5k indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (19 papers), Robotic Path Planning Algorithms (14 papers), Modular Robots and Swarm Intelligence (10 papers), Reinforcement Learning in Robotics (10 papers), Indoor and Outdoor Localization Technologies (9 papers), Robotics and Sensor-Based Localization (8 papers), Target Tracking and Data Fusion in Sensor Networks (7 papers) and Underwater Vehicles and Communication Systems (5 papers). The work is most often cited by research in Computer Networks and Communications (676 citations), Computer Vision and Pattern Recognition (570 citations), Artificial Intelligence (443 citations), Aerospace Engineering (338 citations) and Control and Systems Engineering (311 citations). Amanda Prorok has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Qingbiao Li, Vijay Kumar, Zhe Liu, Alcherio Martinoli, Binyu Wang, Alejandro Ribeiro, Fernando Gama, David Saldaña, Weizhe Lin and George J. Pappas. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Transactions on Robotics, The International Journal of Robotics Research, IEEE Communications Magazine and IEEE Robotics & Automation Magazine.

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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