Deegan Atha

591 total citations · 1 hit paper
11 papers, 429 citations indexed

About

Deegan Atha is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Astronomy and Astrophysics. According to data from OpenAlex, Deegan Atha has authored 11 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 5 papers in Aerospace Engineering and 4 papers in Astronomy and Astrophysics. Recurrent topics in Deegan Atha's work include Planetary Science and Exploration (4 papers), Robotics and Sensor-Based Localization (4 papers) and Autonomous Vehicle Technology and Safety (3 papers). Deegan Atha is often cited by papers focused on Planetary Science and Exploration (4 papers), Robotics and Sensor-Based Localization (4 papers) and Autonomous Vehicle Technology and Safety (3 papers). Deegan Atha collaborates with scholars based in United States, Switzerland and Denmark. Deegan Atha's co-authors include Mohammad R. Jahanshahi, Masahiro Ono, Henry A. Leopold, Marco Hutter, Larry Matthies, Shreyansh Daftry, Curtis Padgett, Ali‐akbar Agha‐mohammadi, Seyed Fakoorian and Barry Ridge and has published in prestigious journals such as IEEE Robotics and Automation Letters, Structural Health Monitoring and 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

In The Last Decade

Deegan Atha

11 papers receiving 415 citations

Hit Papers

Evaluation of deep learning approaches based on convoluti... 2017 2026 2020 2023 2017 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Deegan Atha United States 7 209 123 120 73 56 11 429
Yoji KURODA Japan 10 73 0.3× 71 0.6× 185 1.5× 148 2.0× 28 0.5× 70 422
Dong Seop Han China 10 25 0.1× 49 0.4× 91 0.8× 85 1.2× 45 0.8× 21 287
Zhiqiang Feng China 12 85 0.4× 103 0.8× 30 0.3× 27 0.4× 29 0.5× 44 373
Bo Fu United States 9 53 0.3× 51 0.4× 22 0.2× 204 2.8× 109 1.9× 19 392
Damir Vučina Croatia 11 39 0.2× 63 0.5× 33 0.3× 236 3.2× 5 0.1× 41 433
Krzysztof Skonieczny Canada 13 317 1.5× 216 1.8× 74 0.6× 82 1.1× 142 2.5× 58 552
Yongzhi Min China 8 112 0.5× 96 0.8× 46 0.4× 10 0.1× 4 0.1× 35 269
Shengbin Zhuang China 6 81 0.4× 115 0.9× 208 1.7× 46 0.6× 2 0.0× 10 302
Qingwen Wu China 12 69 0.3× 62 0.5× 75 0.6× 94 1.3× 3 0.1× 44 372

Countries citing papers authored by Deegan Atha

Since Specialization
Citations

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

Fields of papers citing papers by Deegan Atha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deegan Atha

This figure shows the co-authorship network connecting the top 25 collaborators of Deegan Atha. A scholar is included among the top collaborators of Deegan Atha 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 Deegan Atha. Deegan Atha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Atha, Deegan, et al.. (2024). RoadRunner M&M - Learning Multi-Range Multi-Resolution Traversability Maps for Autonomous Off-Road Navigation. IEEE Robotics and Automation Letters. 9(12). 11425–11432. 1 indexed citations
2.
Atha, Deegan, Julian Nubert, David D. Fan, et al.. (2024). RoadRunner—Learning Traversability Estimation for Autonomous Off-Road Driving. 1. 192–212. 18 indexed citations
3.
Atha, Deegan, et al.. (2024). ShadowNav: Autonomous Global Localization for Lunar Navigation in Darkness. 1. 213–230. 1 indexed citations
4.
Cauligi, Abhishek, et al.. (2023). ShadowNav: Crater-Based Localization for Nighttime and Permanently Shadowed Region Lunar Navigation. 1–12. 14 indexed citations
5.
Atha, Deegan, Seyed Fakoorian, Kyohei Otsu, et al.. (2022). Self-Supervised Traversability Prediction by Learning to Reconstruct Safe Terrain. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 12419–12425. 31 indexed citations
6.
Atha, Deegan, et al.. (2022). Multi-mission Terrain Classifier for Safe Rover Navigation and Automated Science. 2022 IEEE Aerospace Conference (AERO). 1–13. 10 indexed citations
7.
Matthies, Larry, et al.. (2022). Lunar Rover Localization Using Craters as Landmarks. 2022 IEEE Aerospace Conference (AERO). 1–17. 15 indexed citations
8.
Ebadi, Kamak, et al.. (2022). Toward Autonomous Localization of Planetary Robotic Explorers by Relying on Semantic Mapping. 2022 IEEE Aerospace Conference (AERO). 1–10. 6 indexed citations
9.
Atha, Deegan, et al.. (2021). AI4MARS: A Dataset for Terrain-Aware Autonomous Driving on Mars. 1982–1991. 62 indexed citations
10.
Atha, Deegan, et al.. (2018). Transcribing Braille Code: Learning Equations Across Platforms. Purdue e-Pubs (Purdue University). 5(1). 1 indexed citations
11.
Atha, Deegan & Mohammad R. Jahanshahi. (2017). Evaluation of deep learning approaches based on convolutional neural networks for corrosion detection. Structural Health Monitoring. 17(5). 1110–1128. 270 indexed citations breakdown →

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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