Atsushi Oosedo

487 total citations
14 papers, 355 citations indexed

About

Atsushi Oosedo is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Atsushi Oosedo has authored 14 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Aerospace Engineering, 10 papers in Computer Vision and Pattern Recognition and 5 papers in Control and Systems Engineering. Recurrent topics in Atsushi Oosedo's work include Robotic Path Planning Algorithms (10 papers), Robotics and Sensor-Based Localization (6 papers) and Guidance and Control Systems (5 papers). Atsushi Oosedo is often cited by papers focused on Robotic Path Planning Algorithms (10 papers), Robotics and Sensor-Based Localization (6 papers) and Guidance and Control Systems (5 papers). Atsushi Oosedo collaborates with scholars based in Japan and United Kingdom. Atsushi Oosedo's co-authors include Masaru Uchiyama, Atsushi Konno, Satoko Abiko, Atsushi Kuno, Takaaki Matsumoto, Takuya Koizumi, Artur Gonçalves, Helmut Prendinger, Marc Cavazza and Hiroaki Hattori and has published in prestigious journals such as IEEE Access, Autonomous Robots and Advanced Robotics.

In The Last Decade

Atsushi Oosedo

14 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Atsushi Oosedo Japan 10 270 190 161 38 30 14 355
Ertuğrul Çetinsoy Türkiye 8 335 1.2× 309 1.6× 120 0.7× 59 1.6× 18 0.6× 16 461
Cevdet Hançer Türkiye 7 283 1.0× 232 1.2× 97 0.6× 45 1.2× 13 0.4× 7 363
Efe Sırımoğlu Türkiye 7 283 1.0× 232 1.2× 97 0.6× 45 1.2× 13 0.4× 7 363
Kaan Taha Öner Türkiye 8 323 1.2× 296 1.6× 117 0.7× 58 1.5× 14 0.5× 9 435
Robin Ritz Switzerland 6 215 0.8× 165 0.9× 188 1.2× 76 2.0× 9 0.3× 7 328
Bernard Michini United States 6 142 0.5× 110 0.6× 88 0.5× 37 1.0× 15 0.5× 8 270
Fawaz Annaz United Kingdom 5 104 0.4× 179 0.9× 65 0.4× 46 1.2× 16 0.5× 19 259
Mike Allenspach Switzerland 6 151 0.6× 132 0.7× 66 0.4× 18 0.5× 14 0.5× 12 236
David Alejo Spain 12 317 1.2× 45 0.2× 235 1.5× 90 2.4× 62 2.1× 30 391
Matthew E. Argyle United States 8 212 0.8× 75 0.4× 162 1.0× 116 3.1× 26 0.9× 12 299

Countries citing papers authored by Atsushi Oosedo

Since Specialization
Citations

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

Fields of papers citing papers by Atsushi Oosedo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atsushi Oosedo

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

All Works

14 of 14 papers shown
1.
Oosedo, Atsushi, et al.. (2021). Unmanned Aircraft System Traffic Management (UTM) Simulation of Drone Delivery Models in 2030 Japan. Journal of Robotics and Mechatronics. 33(2). 348–362. 12 indexed citations
2.
Gonçalves, Artur, et al.. (2019). Pre-Flight Conflict Detection and Resolution for UAV Integration in Shared Airspace: Sendai 2030 Model Case. IEEE Access. 7. 170226–170237. 27 indexed citations
4.
Oosedo, Atsushi, Satoko Abiko, Atsushi Konno, & Masaru Uchiyama. (2016). Optimal transition from hovering to level-flight of a quadrotor tail-sitter UAV. Autonomous Robots. 41(5). 1143–1159. 62 indexed citations
5.
Oosedo, Atsushi, et al.. (2016). Large attitude change flight of a quad tilt rotor unmanned aerial vehicle. Advanced Robotics. 30(5). 326–337. 21 indexed citations
6.
Oosedo, Atsushi, et al.. (2015). 2A1-G03 Pitch Up Hovering Flight Control of a Quad Tilt Rotor UAV. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2015(0). _2A1–G03_1. 1 indexed citations
7.
Oosedo, Atsushi, et al.. (2015). Flight control systems of a quad tilt rotor Unmanned Aerial Vehicle for a large attitude change. 2326–2331. 64 indexed citations
8.
9.
Oosedo, Atsushi, et al.. (2012). Design and Attitude Control of a Quad-Rotor Tail-Sitter Vertical Takeoff and Landing Unmanned Aerial Vehicle. Advanced Robotics. 26(3-4). 307–326. 16 indexed citations
10.
Oosedo, Atsushi, et al.. (2010). Design and simulation of a quad rotor tail-sitter unmanned aerial vehicle. 254–259. 8 indexed citations
11.
12.
Suzuki, Ryoji, Takaaki Matsumoto, Atsushi Konno, et al.. (2010). Teleoperation of a tail-sitter VTOL UAV. 2. 1618–1623. 8 indexed citations
13.
Matsumoto, Takaaki, et al.. (2010). Agile turnaround using post-stall maneuvers for tail-sitter VTOL UAVs. 21. 1612–1617. 9 indexed citations
14.
Takahashi, Ippei, Shuhei Ogawa, Atsushi Oosedo, et al.. (2010). Autonomous takeoff and landing of an unmanned aerial vehicle. 21. 248–253. 11 indexed citations

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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