Luis Yoichi Morales

532 total citations
22 papers, 401 citations indexed

About

Luis Yoichi Morales is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Automotive Engineering. According to data from OpenAlex, Luis Yoichi Morales has authored 22 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Aerospace Engineering, 12 papers in Computer Vision and Pattern Recognition and 7 papers in Automotive Engineering. Recurrent topics in Luis Yoichi Morales's work include Robotics and Sensor-Based Localization (14 papers), Robotic Path Planning Algorithms (8 papers) and Autonomous Vehicle Technology and Safety (7 papers). Luis Yoichi Morales is often cited by papers focused on Robotics and Sensor-Based Localization (14 papers), Robotic Path Planning Algorithms (8 papers) and Autonomous Vehicle Technology and Safety (7 papers). Luis Yoichi Morales collaborates with scholars based in Japan, Italy and Germany. Luis Yoichi Morales's co-authors include Naoki Akai, Eijiro Takeuchi, Yoshiki Ninomiya, Yuki Yoshihara, Hiroshi Murase, Takatsugu Hirayama, Kazuya Takeda, Tatsuya Suzuki, Hiroyuki Okuda and Tetsuo Tomizawa and has published in prestigious journals such as IEEE Robotics and Automation Letters, Advanced Robotics and Journal of Robotics and Mechatronics.

In The Last Decade

Luis Yoichi Morales

21 papers receiving 378 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luis Yoichi Morales Japan 12 203 200 144 67 64 22 401
Luís Garrote Portugal 10 145 0.7× 295 1.5× 139 1.0× 75 1.1× 59 0.9× 38 503
Mohammad Aldibaja Japan 11 180 0.9× 197 1.0× 193 1.3× 106 1.6× 54 0.8× 31 438
Naoki Suganuma Japan 12 204 1.0× 265 1.3× 279 1.9× 124 1.9× 73 1.1× 72 561
Kiyosumi Kidono Japan 13 156 0.8× 310 1.6× 181 1.3× 81 1.2× 51 0.8× 33 527
Amaury Nègre France 8 92 0.5× 163 0.8× 223 1.5× 48 0.7× 82 1.3× 21 382
Yifeng Shi China 10 127 0.6× 388 1.9× 177 1.2× 75 1.1× 45 0.7× 18 575
Pengpeng Sun China 9 98 0.5× 192 1.0× 200 1.4× 97 1.4× 65 1.0× 15 460
Dominic Zeng Wang United Kingdom 5 186 0.9× 323 1.6× 179 1.2× 124 1.9× 58 0.9× 5 535
Daniel Goehring Germany 10 93 0.5× 154 0.8× 108 0.8× 45 0.7× 79 1.2× 28 310
Takashi Naito Japan 13 119 0.6× 358 1.8× 225 1.6× 120 1.8× 34 0.5× 35 557

Countries citing papers authored by Luis Yoichi Morales

Since Specialization
Citations

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

Fields of papers citing papers by Luis Yoichi Morales

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luis Yoichi Morales. 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 Luis Yoichi Morales. The network helps show where Luis Yoichi Morales may publish in the future.

Co-authorship network of co-authors of Luis Yoichi Morales

This figure shows the co-authorship network connecting the top 25 collaborators of Luis Yoichi Morales. A scholar is included among the top collaborators of Luis Yoichi Morales 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 Luis Yoichi Morales. Luis Yoichi Morales 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
2.
Singh, Dhananjay, et al.. (2022). Optimizing Camera Placements for Overlapped Coverage with 3D Camera Projections. 2022 International Conference on Robotics and Automation (ICRA). 5002–5009. 8 indexed citations
3.
Akai, Naoki, Takatsugu Hirayama, Luis Yoichi Morales, et al.. (2020). Modeling Eye-Gaze Behavior of Electric Wheelchair Drivers via Inverse Reinforcement Learning. 1–7. 1 indexed citations
5.
Akai, Naoki, Luis Yoichi Morales, Takatsugu Hirayama, & Hiroshi Murase. (2019). Misalignment Recognition Using Markov Random Fields With Fully Connected Latent Variables for Detecting Localization Failures. IEEE Robotics and Automation Letters. 4(4). 3955–3962. 12 indexed citations
6.
Akai, Naoki, Takatsugu Hirayama, Luis Yoichi Morales, & Hiroshi Murase. (2019). Safety Criteria Analysis for Negotiating Blind Corners in Personal Mobility Vehicles Based on Driver’s Attention Simulation on 3D Map. 2367–2374. 2 indexed citations
7.
Morales, Luis Yoichi, Naoki Akai, Yuki Yoshihara, & Hiroshi Murase. (2018). Towards Predictive Driving through Blind Intersections. 716–722. 13 indexed citations
8.
Akai, Naoki, Luis Yoichi Morales, & Hiroshi Murase. (2018). Mobile Robot Localization Considering Class of Sensor Observations. 3159–3166. 21 indexed citations
9.
Akai, Naoki, Luis Yoichi Morales, Takatsugu Hirayama, & Hiroshi Murase. (2018). Toward Localization-Based Automated Driving in Highly Dynamic Environments: Comparison and Discussion of Observation Models. 2215–2222. 13 indexed citations
10.
Akai, Naoki, Luis Yoichi Morales, & Hiroshi Murase. (2018). Teaching-Playback Navigation Without a Consistent Map. Journal of Robotics and Mechatronics. 30(4). 591–597. 3 indexed citations
11.
Carballo, Alexander, Jacob Lambert, Luis Yoichi Morales, et al.. (2018). End-to-End Autonomous Mobile Robot Navigation with Model-Based System Support. Journal of Robotics and Mechatronics. 30(4). 563–583. 18 indexed citations
12.
Lambert, Jacob, Luis Yoichi Morales, Naoki Akai, et al.. (2018). Tsukuba Challenge 2017 Dynamic Object Tracks Dataset for Pedestrian Behavior Analysis. Journal of Robotics and Mechatronics. 30(4). 598–612. 11 indexed citations
13.
Akai, Naoki, Luis Yoichi Morales, & Hiroshi Murase. (2018). Simultaneous pose and reliability estimation using convolutional neural network and Rao–Blackwellized particle filter. Advanced Robotics. 32(17). 930–944. 22 indexed citations
14.
Akai, Naoki, Luis Yoichi Morales, Eijiro Takeuchi, et al.. (2017). Autonomous driving based on accurate localization using multilayer LiDAR and dead reckoning. 1–6. 62 indexed citations
15.
Takeuchi, Eijiro, Kazuya Takeda, Yoshiki Ninomiya, et al.. (2017). Open Source Integrated Planner for Autonomous Navigation in Highly Dynamic Environments. Journal of Robotics and Mechatronics. 29(4). 668–684. 58 indexed citations
16.
Takeuchi, Eijiro, et al.. (2017). Robust and Accurate Monocular Vision-Based Localization in Outdoor Environments of Real-World Robot Challenge. Journal of Robotics and Mechatronics. 29(4). 685–696. 7 indexed citations
17.
Akai, Naoki, Luis Yoichi Morales, Eijiro Takeuchi, Yuki Yoshihara, & Yoshiki Ninomiya. (2017). Robust localization using 3D NDT scan matching with experimentally determined uncertainty and road marker matching. 1356–1363. 93 indexed citations
18.
Watanabe, Atsushi, Jani Even, Luis Yoichi Morales, & Carlos Toshinori Ishi. (2015). Robot-assisted acoustic inspection of infrastructures - cooperative hammer sounding inspection. 5942–5947. 15 indexed citations
19.
Limosani, Raffaele, Luis Yoichi Morales, Jani Even, et al.. (2015). Long-term human affordance maps. Florence Research (University of Florence). 5748–5754. 5 indexed citations
20.
Watanabe, Atsushi, Jani Even, Luis Yoichi Morales, & Carlos Toshinori Ishi. (2015). Robot-assisted Hammer Sounding Inspection of Infrastructures. Journal of the Robotics Society of Japan. 33(7). 548–554. 3 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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