Megumi Nakao

1.6k total citations
109 papers, 1.2k citations indexed

About

Megumi Nakao is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Surgery. According to data from OpenAlex, Megumi Nakao has authored 109 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Biomedical Engineering, 34 papers in Computer Vision and Pattern Recognition and 33 papers in Surgery. Recurrent topics in Megumi Nakao's work include Surgical Simulation and Training (24 papers), Medical Image Segmentation Techniques (20 papers) and 3D Shape Modeling and Analysis (20 papers). Megumi Nakao is often cited by papers focused on Surgical Simulation and Training (24 papers), Medical Image Segmentation Techniques (20 papers) and 3D Shape Modeling and Analysis (20 papers). Megumi Nakao collaborates with scholars based in Japan and United States. Megumi Nakao's co-authors include Tetsuya Matsuda, Hiroshi Satoh, T Iwahi, Toshihide Tamura, Akira Imada, Keiji Kubo, Toshiyuki Yamazaki, Kotaro Minato, Tomohiro Kuroda and Hiroshi Ōyama and has published in prestigious journals such as Journal of Biological Chemistry, Gastroenterology and PLoS ONE.

In The Last Decade

Megumi Nakao

97 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Megumi Nakao Japan 17 416 255 205 205 179 109 1.2k
Masayuki Honda Japan 23 308 0.7× 45 0.2× 167 0.8× 37 0.2× 233 1.3× 129 2.0k
Bruce E. Hirsch United States 10 261 0.6× 105 0.4× 259 1.3× 95 0.5× 104 0.6× 31 1.0k
Yasuo Saito Japan 24 342 0.8× 298 1.2× 43 0.2× 365 1.8× 221 1.2× 116 1.6k
Yanmei Liang China 20 119 0.3× 477 1.9× 117 0.6× 215 1.0× 63 0.4× 102 1.4k
Shingo Ito Japan 18 454 1.1× 220 0.9× 67 0.3× 5 0.0× 122 0.7× 87 1.4k
Hongjun Zhang China 16 149 0.4× 123 0.5× 15 0.1× 117 0.6× 97 0.5× 62 813
Wei-Lun Chang Taiwan 17 337 0.8× 101 0.4× 15 0.1× 25 0.1× 126 0.7× 41 998
Carmen Maldonado‐Bernal Mexico 28 351 0.8× 235 0.9× 13 0.1× 23 0.1× 120 0.7× 91 2.3k
Yukun Zhou China 20 84 0.2× 129 0.5× 72 0.4× 167 0.8× 46 0.3× 73 1.1k
Xiuli Zuo China 26 936 2.3× 146 0.6× 27 0.1× 170 0.8× 758 4.2× 132 2.1k

Countries citing papers authored by Megumi Nakao

Since Specialization
Citations

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

Fields of papers citing papers by Megumi Nakao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Megumi Nakao

This figure shows the co-authorship network connecting the top 25 collaborators of Megumi Nakao. A scholar is included among the top collaborators of Megumi Nakao 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 Megumi Nakao. Megumi Nakao 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.
2.
Nakao, Megumi. (2023). Medical Image Synthesis and Statistical Reconstruction Methods. Advanced Biomedical Engineering. 12(0). 21–27.
3.
Hirashima, Hideaki, et al.. (2023). Evaluation of generalization ability for deep learning‐based auto‐segmentation accuracy in limited field of view CBCT of male pelvic region. Journal of Applied Clinical Medical Physics. 24(5). e13912–e13912. 3 indexed citations
4.
Nakamura, Mitsuhiro, et al.. (2023). Three‐dimensional assessment of interfractional cervical and uterine motions using daily magnetic resonance images to determine margins and timing of replanning. Journal of Applied Clinical Medical Physics. 24(10). e14073–e14073. 4 indexed citations
5.
Nakao, Megumi, et al.. (2021). Kernel-based modeling of pneumothorax deformation using intraoperative cone-beam CT images. 22–22. 4 indexed citations
6.
Nakao, Megumi, et al.. (2020). Model-based registration for pneumothorax deformation analysis using intraoperative cone-beam CT images. PubMed. 2020. 5818–5821. 9 indexed citations
7.
Nakamura, Mitsuhiro, Megumi Nakao, Nobutaka Mukumoto, et al.. (2020). Statistical shape model-based planning organ-at-risk volume: application to pancreatic cancer patients. Physics in Medicine and Biology. 66(1). 14001–14001. 5 indexed citations
8.
Nakamura, Mitsuhiro, et al.. (2019). Performance evaluation of a newly developed three-dimensional model-based global-to-local registration in prostate cancer. Journal of Radiation Research. 60(5). 595–602. 3 indexed citations
9.
Nakao, Megumi, et al.. (2016). Statistical Analysis of Interactive Surgical Planning Using Shape Descriptors in Mandibular Reconstruction with Fibular Segments. PLoS ONE. 11(9). e0161524–e0161524. 8 indexed citations
10.
Saito, Akira, Megumi Nakao, Yuki Uranishi, & Tetsuya Matsuda. (2015). Deformation Estimation of Elastic Bodies Using Multiple Silhouette Images for Endoscopic Image Augmentation.. 170–171. 11 indexed citations
11.
Nakao, Megumi, et al.. (2014). Direct volume manipulation for visualizing intraoperative liver resection process. Computer Methods and Programs in Biomedicine. 113(3). 725–735. 13 indexed citations
12.
Nakao, Megumi, et al.. (2013). Finger Force and Position Measurement without Obstructing Touch Interaction. 51. 1 indexed citations
13.
Kuroda, Yoshihiro, Megumi Nakao, Tomohiro Kuroda, & Osamu Oshiro. (2008). Haptic rate for surgical manipulations with fingers and instruments.. PubMed. 132. 230–2. 1 indexed citations
14.
15.
Nakao, Megumi, Tomohiro Kuroda, Hiroshi Ōyama, Genichi Sakaguchi, & Masashi Komeda. (2006). Physics-Based Simulation of Surgical Fields for Preoperative Strategic Planning. Journal of Medical Systems. 30(5). 371–380. 7 indexed citations
16.
Tanaka, Noriko, et al.. (2005). Evaluation of Kinematic Characteristics of the Foot Thumb for the Development of a New Input Device. 43(4). 790–794. 2 indexed citations
17.
Nakao, Megumi. (2003). Cardiac surgery simulation with active interaction and adaptive physics-based modeling. Annals of Hepato-Biliary-Pancreatic Surgery. 21(2). 101–105. 4 indexed citations
18.
Kuroda, Yoshihiro, Megumi Nakao, Tomohiro Kuroda, et al.. (2003). Framework of VR Palpation Simulation based on Force Display. 2(1). 43–49. 2 indexed citations
19.
Kuroda, Yoshihiro, Megumi Nakao, Tomohiro Kuroda, et al.. (2002). Haptic Force Feedback with an Interaction Model between Multiple Deformable Objects for Surgical Simulations. 2 indexed citations
20.
Kuroda, Shinya, et al.. (1992). Hepatitis B virus envelope L protein particles. Synthesis and assembly in Saccharomyces cerevisiae, purification and characterization.. Journal of Biological Chemistry. 267(3). 1953–1961. 83 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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