Kazuto Nakashima

707 total citations
51 papers, 534 citations indexed

About

Kazuto Nakashima is a scholar working on Mechanical Engineering, Computer Vision and Pattern Recognition and Mechanics of Materials. According to data from OpenAlex, Kazuto Nakashima has authored 51 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Mechanical Engineering, 12 papers in Computer Vision and Pattern Recognition and 11 papers in Mechanics of Materials. Recurrent topics in Kazuto Nakashima's work include Tribology and Wear Analysis (9 papers), Lubricants and Their Additives (8 papers) and Video Surveillance and Tracking Methods (6 papers). Kazuto Nakashima is often cited by papers focused on Tribology and Wear Analysis (9 papers), Lubricants and Their Additives (8 papers) and Video Surveillance and Tracking Methods (6 papers). Kazuto Nakashima collaborates with scholars based in Japan, United States and Iran. Kazuto Nakashima's co-authors include Yoshinori Sawae, A. Malekan, Noritaka Saito, M. Farvizi, Seyyed Ehsan Mirsalehi, Ryo Kurazume, Teruo MURAKAMI, Yumi Iwashita, Hikaru Matsumoto and Kazuki Mori and has published in prestigious journals such as The Journal of Chemical Physics, Acta Materialia and Environmental Health Perspectives.

In The Last Decade

Kazuto Nakashima

42 papers receiving 516 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kazuto Nakashima Japan	14	245	85	81	79	78	51	534
Richard E. Martin United States	10	164 0.7×	80 0.9×	169 2.1×	18 0.2×	59 0.8×	64	490
Yongtai Chen China	12	203 0.8×	135 1.6×	61 0.8×	12 0.2×	51 0.7×	60	427
Z. H. Shen China	13	140 0.6×	129 1.5×	224 2.8×	15 0.2×	24 0.3×	33	563
Gary Muller United States	10	200 0.8×	93 1.1×	13 0.2×	54 0.7×	15 0.2×	28	476
Charles Josserond France	10	356 1.5×	202 2.4×	122 1.5×	13 0.2×	93 1.2×	15	629
Md Syam Hasan United States	10	361 1.5×	107 1.3×	228 2.8×	18 0.2×	31 0.4×	12	502
Benoît Mascaro France	9	77 0.3×	56 0.7×	63 0.8×	12 0.2×	72 0.9×	12	511
Jonas Engqvist Sweden	11	58 0.2×	37 0.4×	103 1.3×	24 0.3×	7 0.1×	38	298
Chengxi Wang China	15	395 1.6×	283 3.3×	169 2.1×	19 0.2×	89 1.1×	55	660
Zilong Wang China	12	78 0.3×	105 1.2×	20 0.2×	5 0.1×	18 0.2×	31	343

Countries citing papers authored by Kazuto Nakashima

Since Specialization

Citations

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

Fields of papers citing papers by Kazuto Nakashima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazuto Nakashima

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

All Works

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20 of 20 papers shown

Nakashima, Kazuto, et al.. (2025). Gait Sequence Upsampling using Diffusion Models for Single LiDAR Sensors. 658–664.

Nakashima, Kazuto & Ryo Kurazume. (2024). LiDAR Data Synthesis with Denoising Diffusion Probabilistic Models. 14724–14731. 11 indexed citations

Sumita, T., et al.. (2024). Electrical conductivity measurement of CaO-Al2O3-CaF2 slags by van der Pauw-Ohta Method. 17–25. 1 indexed citations

Kasahara, Yoshiaki, et al.. (2024). Sensor Pods and ROS2-TMS for Construction for Cyber-Physical System at Earthwork Sites. 58–63.

Miyawaki, Taichi, et al.. (2024). Development of Dementia Care Training System Using AR and Large Language Model. 903–908.

Nakashima, Kazuto, Yumi Iwashita, & Ryo Kurazume. (2023). Generative Range Imaging for Learning Scene Priors of 3D LiDAR Data. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 1256–1266. 6 indexed citations

Fukuda, Kentaro, et al.. (2023). Evaluation of ground stiffness using multiple accelerometers on the ground during compaction by vibratory rollers. Proceedings of the ... ISARC. 1 indexed citations

An, Qi, Akito Tanaka, Kazuto Nakashima, et al.. (2022). Understanding Humanitude Care for Sit-to-stand Motion by Wearable Sensors. 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC). 1874–1879.

Malekan, A., M. Farvizi, Seyyed Ehsan Mirsalehi, Noritaka Saito, & Kazuto Nakashima. (2019). Effect of bonding temperature on the microstructure and mechanical properties of Hastelloy X superalloy joints bonded with a Ni–Cr–B–Si–Fe interlayer. Journal of Manufacturing Processes. 47. 129–140. 33 indexed citations

10.

Malekan, A., M. Farvizi, Seyyed Ehsan Mirsalehi, Noritaka Saito, & Kazuto Nakashima. (2019). Influence of bonding time on the transient liquid phase bonding behavior of Hastelloy X using Ni-Cr-B-Si-Fe filler alloy. Materials Science and Engineering A. 755. 37–49. 53 indexed citations

11.

Malekan, A., M. Farvizi, Seyyed Ehsan Mirsalehi, Noritaka Saito, & Kazuto Nakashima. (2019). Holding time influence on creep behavior of transient liquid phase bonded joints of Hastelloy X. Materials Science and Engineering A. 772. 138694–138694. 34 indexed citations

12.

Mozos, Óscar Martínez, Kazuto Nakashima, Hojung Jung, Yumi Iwashita, & Ryo Kurazume. (2019). Fukuoka datasets for place categorization. The International Journal of Robotics Research. 38(5). 507–517. 7 indexed citations

13.

Iwashita, Yumi, Adrian Stoica, Kazuto Nakashima, Ryo Kurazume, & Jim Tørresen. (2018). Virtual Sensors Determined Through Machine Learning. 1–5. 3 indexed citations

14.

Nakashima, Kazuto, Yumi Iwashita, Akihiro Kawamura, & Ryo Kurazume. (2018). Fourth-Person Captioning: Describing Daily Events by Uni-supervised and Tri-regularized Training. 2122–2127. 1 indexed citations

15.

Nakashima, Kazuto, et al.. (2017). Previewed reality: Near-future perception system. 370–375. 2 indexed citations

16.

Nakashima, Kazuto, et al.. (2016). Performance Prediction of Darrieus-Type Hydroturbine with Inlet Nozzle Operated in Open Water Channels. IOP Conference Series Earth and Environmental Science. 49. 102011–102011.

17.

Nakashima, Kazuto, et al.. (2015). Fourth-person sensing for a service robot. 1. 1–4. 3 indexed citations

18.

MURAKAMI, Teruo, et al.. (2009). Roles of adsorbed film and gel layer in hydration lubrication for articular cartilage. Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology. 223(3). 287–295. 31 indexed citations

19.

Nakashima, Kazuto. (1995). Marginal Seal of Resinous Temporary Filling Materials. Journal of Dental Research. 74. 488. 2 indexed citations

20.

Tokiwa, Hiroshi, et al.. (1994). Mutagenic and carcinogenic significance and the possible induction of lung cancer by nitro aromatic hydrocarbons in particulate pollutants.. Environmental Health Perspectives. 102(suppl 4). 107–110. 39 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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