Aaron Ray

529 citations
13 papers · 317 · h-index 8

Impact in

Papers in

Aaron Ray

13 papers receiving 304 citations

Peers

Aaron Ray
Comparison fields: 5 of 94
  • Management, Monitoring, Policy and Law 31
  • Computer Vision and Pattern Recognition 39
  • Global and Planetary Change 38
  • Sociology and Political Science 81
  • Control and Systems Engineering 38
Replace Salvatore Monteleone with:
Salvatore Monteleone Italy
Doris Esenarro Peru
Jake Desyllas United Kingdom
Ali Tahir Pakistan
Stefan van der Spek Netherlands
Erfan Rohadi Indonesia
Jingchao Yang United States
Édouard Amouroux France
Sebastian Tilch Switzerland
Mohamed Benslimane Morocco
Aaron Ray relative to Salvatore Monteleone Italy Salvatore Monteleone's profile →
Citations per field
00.5×
Salvatore Monteleone · 1×
Citations per year

Countries citing papers authored by Aaron Ray

Since Specialization
Citations

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

Fields of papers citing papers by Aaron Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Aaron Ray, 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 Aaron Ray Line = papers co-authored together Aaron Ray links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 202285
2 201779
3 202347
4 201537
5 201823
6 202312
7 20169
8 20248
9 20215
10
Accessing international funding for climate change adaptation : a guidebook for developing countries
20124
11 20214
12 20223
13 20221

About Aaron Ray

Aaron Ray is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering, Computer Networks and Communications and Artificial Intelligence, having authored 13 papers that have together received 317 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (4 papers), Robotics and Sensor-Based Localization (3 papers), Advanced Control Systems Optimization (2 papers), Distributed Control Multi-Agent Systems (2 papers), Atmospheric and Environmental Gas Dynamics (1 paper), Domain Adaptation and Few-Shot Learning (1 paper), Soft Robotics and Applications (1 paper) and Energy, Environment, Economic Growth (1 paper). The work is most often cited by research in Management, Monitoring, Policy and Law (31 citations), Computer Vision and Pattern Recognition (39 citations), Global and Planetary Change (38 citations), Sociology and Political Science (81 citations) and Control and Systems Engineering (38 citations). Aaron Ray has collaborated with scholars based in United States, Denmark and Austria. Frequent co-authors include Llewelyn Hughes, Charles Kaylor, David M. Konisky, Daniela Rus, Mathias Lechner, Ramin Hasani, Alexander Amini, Gerald Teschl, Max Tschaikowski and Lucas Liebenwein. Their work appears in journals such as Nature Machine Intelligence, Global Environmental Change, Science Robotics, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) and The Journal of the Abraham Lincoln Association.

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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