Tamaki Ura

2.9k total citations
208 papers, 2.2k citations indexed

About

Tamaki Ura is a scholar working on Ocean Engineering, Oceanography and Aerospace Engineering. According to data from OpenAlex, Tamaki Ura has authored 208 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 152 papers in Ocean Engineering, 71 papers in Oceanography and 53 papers in Aerospace Engineering. Recurrent topics in Tamaki Ura's work include Underwater Vehicles and Communication Systems (144 papers), Underwater Acoustics Research (65 papers) and Robotics and Sensor-Based Localization (41 papers). Tamaki Ura is often cited by papers focused on Underwater Vehicles and Communication Systems (144 papers), Underwater Acoustics Research (65 papers) and Robotics and Sensor-Based Localization (41 papers). Tamaki Ura collaborates with scholars based in Japan, India and United States. Tamaki Ura's co-authors include Blair Thornton, Hayato Kondo, Takashi Sakamaki, Toshihiro Maki, Adrian Bodenmann, Kazuo Ishii, Kangsoo Kim, Y. Nosé, Takeshi Nakatani and Yuya Nishida and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, The Journal of the Acoustical Society of America and Marine Pollution Bulletin.

In The Last Decade

Tamaki Ura

198 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tamaki Ura Japan 25 1.3k 614 519 452 268 208 2.2k
James G. Bellingham United States 33 1.8k 1.3× 479 0.8× 1.2k 2.2× 346 0.8× 248 0.9× 94 3.0k
James C. Kinsey United States 21 823 0.6× 420 0.7× 531 1.0× 100 0.2× 102 0.4× 43 1.7k
Stephen McPhail United Kingdom 26 868 0.7× 257 0.4× 589 1.1× 135 0.3× 70 0.3× 63 2.0k
Kunde Yang China 24 1.0k 0.8× 599 1.0× 1.3k 2.4× 130 0.3× 91 0.3× 285 2.4k
R. M. Dorrell United Kingdom 22 568 0.4× 154 0.3× 292 0.6× 131 0.3× 162 0.6× 71 1.8k
Charles C. Eriksen United States 29 1.3k 1.0× 299 0.5× 2.9k 5.5× 130 0.3× 114 0.4× 63 4.0k
Daniele Riccio Italy 35 604 0.5× 2.2k 3.6× 653 1.3× 489 1.1× 29 0.1× 246 4.0k
Doug Webb United States 11 1.2k 0.9× 273 0.4× 878 1.7× 158 0.3× 132 0.5× 18 1.8k
Peng Ren China 31 268 0.2× 378 0.6× 394 0.8× 1.4k 3.2× 97 0.4× 179 3.0k
Antonio Iodice Italy 33 571 0.4× 2.0k 3.2× 477 0.9× 280 0.6× 21 0.1× 247 3.5k

Countries citing papers authored by Tamaki Ura

Since Specialization
Citations

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

Fields of papers citing papers by Tamaki Ura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamaki Ura

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

All Works

20 of 20 papers shown
1.
Ura, Tamaki, et al.. (2024). Multirobot Multimodal Deep Sea Surveys: Use in Detailed Estimation of Manganese Crust Distribution. IEEE Robotics & Automation Magazine. 31(1). 84–95. 2 indexed citations
2.
Inoue, Shogo, et al.. (2023). Development of the Autonomous Core Sampling System for AUV. ePrints Soton (University of Southampton). 1–4.
4.
Nishida, Yuya, et al.. (2018). A Sea Creatures Classification Method using Convolutional Neural Networks. International Conference on Control, Automation and Systems. 6 indexed citations
5.
Matsuo, Takayuki, et al.. (2017). Report of the third tomato robot competition. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2017(0). 2P1–J08.
6.
Okamoto, Akihiro, et al.. (2016). Obstacle avoidance method appropriate for the steep terrain of the deep seafloor. 195–198. 7 indexed citations
7.
Ura, Tamaki, et al.. (2014). A Cruising AUV r2D4: Intelligent Multirole Platform for Deep-Sea Survey. Journal of Robotics and Mechatronics. 26(2). 262–263. 7 indexed citations
8.
Bodenmann, Adrian, Blair Thornton, Ryota Nakajima, Hiroyuki Yamamoto, & Tamaki Ura. (2013). Wide area 3D seafloor reconstruction and its application to sea fauna density mapping. ePrints Soton (University of Southampton). 13 indexed citations
9.
Nakatani, Takeshi, et al.. (2010). 1P1-D24 Towards detailed observation of hydrothermal vent areas using hovering type AUVs : Relative navigation around hydrothermal chimneys by light-sectioning. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2010(0). _1P1–D24_1. 1 indexed citations
10.
Mochizuki, Masashi, et al.. (2010). Development of Seafloor Geodetic Observation System Based on AUV and Submarine Cable. IEICE technical report. Speech. 110(186). 21–24. 1 indexed citations
11.
Thornton, Blair, et al.. (2009). A conical laser light-sectioning method for navigation of Autonomous Underwater Vehicles for internal inspection of pipelines. ePrints Soton (University of Southampton). 1–9. 13 indexed citations
12.
Ura, Tamaki. (2008). System Integration for Ocean Engineering. 47(10). 787–790. 2 indexed citations
13.
Kondo, Hayato, et al.. (2007). 2A2-C01 Observation of "Tagiri" vent area in Kagoshima Bay by the Autonomous Underwater Vehicle "Tri-Dog 1". The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2007(0). _2A2–C01_1.
14.
Yu, Son‐Cheol & Tamaki Ura. (2004). Experiments On a System of Multi-AUV Interlinked With a Smart Cable For Autonomous Inspection of Underwater Structures. International Journal of Offshore and Polar Engineering. 14(4). 2 indexed citations
15.
Maki, Toshihiro, Hayato Kondō, Tamaki Ura, & Takashi Sakamaki. (2004). AUVnavigation with particle filter. 56(6). 429–433. 1 indexed citations
16.
Yu, Son‐Cheol & Tamaki Ura. (2004). A System of Multi-AUV Interlinked With a Smart Cable For Autonomous Inspection of Underwater Structures. International Journal of Offshore and Polar Engineering. 14(4). 11 indexed citations
17.
Kim, Kangsoo & Tamaki Ura. (2003). Fuel-Optimal Guidance And Tracking Control of AUV Under Current Interaction. 12 indexed citations
18.
Kim, Kangsoo & Tamaki Ura. (2002). 3-Dimensional Trajectory Tracking Control of an AUV “R-One Robot” Considering Current Interaction. 7 indexed citations
19.
Ishii, Kazuo, et al.. (2002). A Navigation System For an Underwater Vehicle Using the Self-Organizing Map. 2 indexed citations
20.
Ura, Tamaki. (1984). Maximum Holding Power of Anchors. The Journal of Japan Institute of Navigation. 71(0). 37–45. 1 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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