Ross Allen

521 citations
17 papers · 313 · h-index 8

Impact in

  • Ecology top 10%
    • Wildlife-Road Interactions and Conservation
    • Wildlife Ecology and Conservation
    • Rangeland and Wildlife Management
    • Avian ecology and behavior
    • Robotic Path Planning Algorithms

Papers in

Ross Allen

17 papers receiving 254 citations

Peers

Ross Allen
Comparison fields: 5 of 68
  • Ecology 135
  • Computer Vision and Pattern Recognition 91
  • Aerospace Engineering 81
  • Developmental Biology 6
  • Automotive Engineering 27
Replace Divya Meena Sundaram with:
Divya Meena Sundaram India
Peter Christiansen Denmark
Enrico Marchesini Italy
Christyan Cruz Ulloa Spain
Jay Wilhelm United States
Wenbo Chen China
Dale Schinstock United States
Colin Greatwood United Kingdom
Michio Kise United States
Shibbir Ahmed China
Ross Allen relative to Divya Meena Sundaram India Divya Meena Sundaram's profile →
Citations per field
00.5×4.8×
Divya Meena Sundaram · 1×
Citations per year

Countries citing papers authored by Ross Allen

Since Specialization
Citations

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

Fields of papers citing papers by Ross Allen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Ross Allen, 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 Ross Allen Line = papers co-authored together Ross Allen links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 1976145
2 201642
3 201435
4 201833
5 201313
6 202212
7 20227
8 20157
9 20164
10 20234
11 20233
12 20242
13 20202
14 20211
15 20201
16 20231
17 20231

About Ross Allen

Ross Allen is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Computer Networks and Communications and Astronomy and Astrophysics, having authored 17 papers that have together received 313 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (7 papers), Reinforcement Learning in Robotics (5 papers), Robotics and Sensor-Based Localization (4 papers), Space Satellite Systems and Control (3 papers), Distributed Control Multi-Agent Systems (3 papers), Evolutionary Algorithms and Applications (2 papers), Astro and Planetary Science (2 papers) and Data Management and Algorithms (1 paper). The work is most often cited by research in Ecology (135 citations), Computer Vision and Pattern Recognition (91 citations), Aerospace Engineering (81 citations), Developmental Biology (6 citations) and Automotive Engineering (27 citations). Ross Allen has collaborated with scholars based in United States and South Korea. Frequent co-authors include Dale R. McCullough, Marco Pavone, Ashley Clark, Issa Nesnas, Julie Castillo‐Rogez, Jeffrey A. Hoffman, Mykel J. Kochenderfer, Sheng Li, Daniela Rus and Alexander Amini. Their work appears in journals such as IEEE Robotics and Automation Letters, Robotics and Autonomous Systems, Journal of Wildlife Management, IEEE Pervasive Computing and arXiv (Cornell University).

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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