Hiroaki Date

1.0k total citations
75 papers, 727 citations indexed

About

Hiroaki Date is a scholar working on Geology, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hiroaki Date has authored 75 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Geology, 20 papers in Computational Mechanics and 19 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hiroaki Date's work include 3D Surveying and Cultural Heritage (32 papers), Robotics and Sensor-Based Localization (18 papers) and 3D Shape Modeling and Analysis (18 papers). Hiroaki Date is often cited by papers focused on 3D Surveying and Cultural Heritage (32 papers), Robotics and Sensor-Based Localization (18 papers) and 3D Shape Modeling and Analysis (18 papers). Hiroaki Date collaborates with scholars based in Japan, United States and China. Hiroaki Date's co-authors include Satoshi Kanai, Ikuo Sugimoto, Jun Shimizu, Yoshikazu Uesaka, Koji Hashimoto, Tatsuhiko Komiya, Masami Takatsu, Yuki Hatanaka, Hiroyuki Nakase and Mitsuhiro Hasegawa and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurology and British Journal Of Nutrition.

In The Last Decade

Hiroaki Date

67 papers receiving 650 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hiroaki Date Japan 14 258 207 150 141 122 75 727
David Lattanzi United States 17 482 1.9× 287 1.4× 9 0.1× 26 0.2× 168 1.4× 50 1.1k
Guolin Wang China 16 26 0.1× 43 0.2× 13 0.1× 19 0.1× 16 0.1× 113 880
Robert Sitnik Poland 16 350 1.4× 97 0.5× 6 0.0× 16 0.1× 524 4.3× 118 906
Ian Palmer United States 19 10 0.0× 13 0.1× 15 0.1× 34 0.2× 173 1.4× 59 1.4k
Hai Hu China 19 33 0.1× 94 0.5× 12 0.1× 102 0.7× 20 0.2× 70 949
Luigi Caruso Italy 9 25 0.1× 40 0.2× 28 0.2× 39 0.3× 61 0.5× 18 309
Stefan Gottschalk Germany 12 31 0.1× 4 0.0× 153 1.0× 12 0.1× 274 2.2× 22 771
Alper Nabi Erkan Türkiye 17 7 0.0× 32 0.2× 25 0.2× 31 0.2× 334 2.7× 59 975
Antonio Guiducci Italy 19 14 0.1× 22 0.1× 93 0.6× 28 0.2× 166 1.4× 57 907
S. Lavallée France 14 25 0.1× 4 0.0× 32 0.2× 66 0.5× 232 1.9× 37 802

Countries citing papers authored by Hiroaki Date

Since Specialization
Citations

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

Fields of papers citing papers by Hiroaki Date

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroaki Date

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroaki Date. A scholar is included among the top collaborators of Hiroaki Date 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 Hiroaki Date. Hiroaki Date 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.
Date, Hiroaki, et al.. (2021). Study on Real-Time Point Cloud Superimposition on Camera Image to Assist Environmental Three-Dimensional Laser Scanning. International Journal of Automation Technology. 15(3). 324–333. 4 indexed citations
2.
Kobayashi, Kazuya, Satoru Wakasa, Koji Sato, et al.. (2019). Quantitative analysis of regional endocardial geometry dynamics from 4D cardiac CT images: endocardial tracking based on the iterative closest point with an integrated scale estimation. Physics in Medicine and Biology. 64(5). 55009–55009. 2 indexed citations
3.
Kanai, Satoshi, et al.. (2018). Cylinder-based Efficient and Robust Registration and Model Fitting of Laser-scanned Point Clouds for As-built Modeling of Piping Systems. Computer-Aided Design and Applications. 16(3). 396–412. 24 indexed citations
4.
Date, Hiroaki, et al.. (2018). Efficient Registration of Laser-Scanned Point Clouds of Bridges Using Linear Features. International Journal of Automation Technology. 12(3). 328–338. 9 indexed citations
5.
Hada, Yoshiro, Hiroki Kobayashi, Satoshi Kanai, et al.. (2017). Development of a Bridge Inspection Support System Using Two-Wheeled Multicopter and 3D Modeling Technology. Journal of Disaster Research. 12(3). 593–606. 26 indexed citations
6.
Date, Hiroaki, et al.. (2017). A Study on Rapid Reverse Engineering of Castings. Journal of the Japan Society for Precision Engineering. 83(5). 474–480. 2 indexed citations
7.
Date, Hiroaki, et al.. (2015). Dimension-driven Deformation of Tetrahedral Meshes of Mechanical Parts for Parameter Survey Analysis. Journal of the Japan Society for Precision Engineering. 81(4). 368–375. 1 indexed citations
8.
Kanai, Satoshi, et al.. (2013). Accessibility Evaluation of the as-built two-storey Large-scale Indoor Environments by combining Digital Human Model and Terrestrial Laser Scanners. 362–372. 1 indexed citations
9.
Xie, Yulai, Satoshi Kanai, & Hiroaki Date. (2013). An efficient simulation of skin contact deformation for virtual ergonomic assessments of handheld products. 13(2). 4 indexed citations
10.
Kanai, Satoshi, et al.. (2013). As-built modeling of piping system from terrestrial laser scanned point clouds using normal-based region-growing. 552–562. 1 indexed citations
11.
Kanai, Satoshi, et al.. (2012). Automatic Recognition of Piping System from Large-scale Terrestrial Laser Scanned Point Cloud. Journal of the Japan Society for Precision Engineering. 78(8). 722–729. 9 indexed citations
12.
Shimizu, Jun, Yuki Hatanaka, Mitsuhiro Hasegawa, et al.. (2010). IFNβ-1b may severely exacerbate Japanese optic-spinal MS in neuromyelitis optica spectrum. Neurology. 75(16). 1423–1427. 152 indexed citations
13.
Date, Hiroaki, et al.. (2010). Dimension-driven deformation and untangling of tetrahedral meshes. 483–491. 2 indexed citations
14.
ONOSATO, Masahiko, et al.. (2010). Four-Dimensional Mesh Modeling for Spatio-Temporal Object Representation. 579–589. 1 indexed citations
15.
Kanai, Satoshi, et al.. (2010). Cyber Field Engineering—Current Status and the Future—. Journal of the Japan Society for Precision Engineering. 76(10). 1121–1124. 1 indexed citations
16.
Date, Hiroaki, et al.. (2007). Free-Form Deformation for Mesh Models based on Barycentric Coordinates for Convex Polytope. Journal of the Japan Society for Precision Engineering. 73(3). 383–388. 1 indexed citations
17.
Shimizu, Tadamichi, et al.. (2006). A New Bilateral Mesh Smoothing Method by Recognizing Features. 281–286. 17 indexed citations
18.
Date, Hiroaki, et al.. (2005). Mesh Quality Improvement based on Subdivision and Simplification. Seimitsu kougakkaishi rombunshuu/Seimitsu kougakkaishi/Seimitsu Kougakkaishi rombunshuu. 71(2). 223–227. 2 indexed citations
19.
Date, Hiroaki, Satoshi Kanai, & Takeshi Kishinami. (2003). Triangular Mesh Modeling of Surface-detail-integrated Shape using Parameterization.. Journal of the Japan Society for Precision Engineering. 69(4). 581–585. 1 indexed citations
20.
Takanashi, Jun‐ichi, Katsuo Sugita, Y Tanabe, et al.. (1996). T2 shortening in childhood moyamoya disease. Neuroradiology. 38(S1). S169–S173. 10 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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