Naoki Suganuma

112 total papers · 765 total citations
72 papers, 553 citations indexed

About

Naoki Suganuma is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Automotive Engineering. According to data from OpenAlex, Naoki Suganuma has authored 72 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Aerospace Engineering, 39 papers in Computer Vision and Pattern Recognition and 36 papers in Automotive Engineering. Recurrent topics in Naoki Suganuma's work include Robotics and Sensor-Based Localization (39 papers), Autonomous Vehicle Technology and Safety (36 papers) and Remote Sensing and LiDAR Applications (23 papers). Naoki Suganuma is often cited by papers focused on Robotics and Sensor-Based Localization (39 papers), Autonomous Vehicle Technology and Safety (36 papers) and Remote Sensing and LiDAR Applications (23 papers). Naoki Suganuma collaborates with scholars based in Japan and United States. Naoki Suganuma's co-authors include Keisuke Yoneda, Mohammad Aldibaja, Ryo Yanase, Natsumi Fujiwara, Naoya Hashimoto, Daiki Yamamoto, Masaru Yoshioka, Toshiki Matsui, Kei Sato and Kei Senda and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Remote Sensing.

In The Last Decade

Naoki Suganuma

67 papers receiving 525 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Naoki Suganuma 276 264 202 123 87 72 553
Zhaozheng Hu 152 0.6× 271 1.0× 205 1.0× 77 0.6× 99 1.1× 63 678
Mauro Bellone 247 0.9× 294 1.1× 161 0.8× 120 1.0× 55 0.6× 36 602
Kiyosumi Kidono 181 0.7× 310 1.2× 156 0.8× 81 0.7× 108 1.2× 33 527
Chunzhao Guo 343 1.2× 378 1.4× 124 0.6× 125 1.0× 57 0.7× 43 608
Romuald Aufrère 346 1.3× 336 1.3× 200 1.0× 111 0.9× 160 1.8× 41 659
Takashi Naito 225 0.8× 358 1.4× 119 0.6× 120 1.0× 59 0.7× 35 557
Luís Garrote 140 0.5× 294 1.1× 145 0.7× 75 0.6× 68 0.8× 38 501
Tirthankar Bandyopadhyay 197 0.7× 324 1.2× 247 1.2× 95 0.8× 57 0.7× 41 680
Vincent Frémont 157 0.6× 390 1.5× 221 1.1× 83 0.7× 79 0.9× 61 673
Christopher R. Hudson 178 0.6× 125 0.5× 100 0.5× 89 0.7× 97 1.1× 42 587

Countries citing papers authored by Naoki Suganuma

Since Specialization
Citations

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

Fields of papers citing papers by Naoki Suganuma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoki Suganuma

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

All Works

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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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2026