Akimasa Hirata

10.5k total citations
372 papers, 7.7k citations indexed

About

Akimasa Hirata is a scholar working on Biomedical Engineering, Biophysics and Electrical and Electronic Engineering. According to data from OpenAlex, Akimasa Hirata has authored 372 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 176 papers in Biomedical Engineering, 157 papers in Biophysics and 114 papers in Electrical and Electronic Engineering. Recurrent topics in Akimasa Hirata's work include Electromagnetic Fields and Biological Effects (156 papers), Wireless Body Area Networks (124 papers) and Ultrasound and Hyperthermia Applications (58 papers). Akimasa Hirata is often cited by papers focused on Electromagnetic Fields and Biological Effects (156 papers), Wireless Body Area Networks (124 papers) and Ultrasound and Hyperthermia Applications (58 papers). Akimasa Hirata collaborates with scholars based in Japan, Finland and China. Akimasa Hirata's co-authors include Ilkka Laakso, T. Shiozawa, Osamu Fujiwara, Sachiko Kodera, José Gómez-Tames, Essam A. Rashed, Satoshi Tanaka, Valerio De Santis, Soichiro Koyama and Takashi Ohira and has published in prestigious journals such as The Journal of Cell Biology, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Akimasa Hirata

351 papers receiving 7.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Akimasa Hirata Japan 50 3.1k 2.5k 2.3k 1.3k 1.0k 372 7.7k
Niels Kuster Switzerland 61 6.7k 2.1× 6.5k 2.6× 3.6k 1.6× 620 0.5× 2.2k 2.2× 388 13.0k
R W M Lau United Kingdom 7 4.8k 1.6× 1.0k 0.4× 3.4k 1.5× 250 0.2× 966 0.9× 9 6.4k
M.A. Stuchly Canada 45 4.9k 1.6× 1.8k 0.7× 4.2k 1.9× 164 0.1× 645 0.6× 197 8.2k
Hui Gong China 42 1.5k 0.5× 2.0k 0.8× 286 0.1× 458 0.4× 1.3k 1.3× 327 6.8k
Andreas Christ Switzerland 34 2.2k 0.7× 1.5k 0.6× 1.6k 0.7× 124 0.1× 836 0.8× 103 4.4k
Ruikang K. Wang United States 75 11.9k 3.8× 2.3k 0.9× 468 0.2× 447 0.3× 11.1k 10.8× 939 23.5k
Qianqian Fang United States 32 2.6k 0.8× 326 0.1× 318 0.1× 306 0.2× 2.7k 2.7× 136 4.9k
James C. Lin United States 39 2.8k 0.9× 1.5k 0.6× 1.1k 0.5× 34 0.0× 623 0.6× 325 5.6k
Pengcheng Li China 39 1.2k 0.4× 285 0.1× 673 0.3× 124 0.1× 995 1.0× 498 6.2k
Wei Liu China 42 1.8k 0.6× 330 0.1× 448 0.2× 312 0.2× 292 0.3× 338 6.0k

Countries citing papers authored by Akimasa Hirata

Since Specialization
Citations

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

Fields of papers citing papers by Akimasa Hirata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akimasa Hirata

This figure shows the co-authorship network connecting the top 25 collaborators of Akimasa Hirata. A scholar is included among the top collaborators of Akimasa Hirata 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 Akimasa Hirata. Akimasa Hirata 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.
Togo, Hiroyoshi, et al.. (2025). Reducing lead requirements for wearable ECG: Chest lead reconstruction with 1D-CNN and Bi-LSTM. Informatics in Medicine Unlocked. 53. 101624–101624. 1 indexed citations
2.
Kodera, Sachiko, Ryo Yoshida, Essam A. Rashed, et al.. (2025). Power absorption and temperature rise in deep learning based head models for local radiofrequency exposures. Physics in Medicine and Biology. 70(6). 65013–65013.
3.
Hirata, Akimasa, Ilkka Laakso, Francesca Apollonio, et al.. (2025). Model Variability in Assessment of Human Exposure to Radiofrequency Fields. IEEE Journal of Microwaves. 6(2). 502–518.
6.
Diao, Yinliang, Essam A. Rashed, Luca Giaccone, et al.. (2023). Intercomparison of the Averaged Induced Electric Field in Learning-Based Human Head Models Exposed to Low-Frequency Magnetic Fields. IEEE Access. 11. 38739–38752. 8 indexed citations
7.
Gómez-Tames, José, et al.. (2018). Atlas of optimal coil orientation and position for TMS: A computational study. Brain stimulation. 11(4). 839–848. 59 indexed citations
8.
Gómez-Tames, José, et al.. (2018). Intraoperative direct subcortical stimulation: comparison of monopolar and bipolar stimulation. Physics in Medicine and Biology. 63(22). 225013–225013. 21 indexed citations
9.
Shimamoto, Takuya, Ilkka Laakso, & Akimasa Hirata. (2015). Analysis of Induced Electric Field in the Human Body Models for Different Coil Shapes of Wireless Power Transfer System in Electric Vehicle. IEICE Technical Report; IEICE Tech. Rep.. 114(398). 31–34. 1 indexed citations
10.
Hirata, Akimasa, et al.. (2014). Relationship between spatial-averaged SAR and temperature elevation in human head models from 1–10 GHz. International Symposium on Electromagnetic Compatibility. 174–177.
11.
Hirata, Akimasa, et al.. (2013). SAR in a simplified human model due to wireless power transfer with induction coupling. European Conference on Antennas and Propagation. 1769–1772. 4 indexed citations
12.
Chan, Kwok Hung, et al.. (2013). Computational dosimetry for grounded and ungrounded human models due to contact current. Physics in Medicine and Biology. 58(15). 5153–5172. 17 indexed citations
13.
Hirata, Akimasa, et al.. (2013). Variability of SAR in different human models due to wireless power transfer with magnetic resonance. International Symposium on Electromagnetic Compatibility. 89–92. 4 indexed citations
14.
Hirata, Akimasa, et al.. (2012). Temperature elevation in the human body model for RF plane-wave exposure. International Symposium on Antennas and Propagation. 54. 409–15. 1 indexed citations
15.
Hirata, Akimasa, et al.. (2010). Estimation of Whole-Body Average SARs in Human for Vertical Polarized Far-Field Exposure at Frequencies over 1 GHz Using Spatially Averaged Squares of Induced Currents. IEICE Technical Report; IEICE Tech. Rep.. 110(125). 15–19. 1 indexed citations
16.
Hirata, Akimasa & Osamu Fujiwara. (2009). FDTD modeling of electromagnetic and thermal dosimetry in human for microwave exposures (マイクロ波). 109(109). 13–16. 1 indexed citations
17.
Hirata, Akimasa, Sachiko Kodera, Jianqing Wang, & Osamu Fujiwara. (2007). Dominant factors influencing whole‐body average SAR due to far‐field exposure in whole‐body resonance frequency and GHz regions. Bioelectromagnetics. 28(6). 484–487. 66 indexed citations
18.
Ishihara, Satoru, et al.. (2001). A mutation in SPC42, which encodes a component of the spindle pole body, results in production of two-spored asci in Saccharomyces cerevisiae. Molecular Genetics and Genomics. 265(4). 585–595. 7 indexed citations
19.
Hirata, Akimasa, et al.. (2000). Calculation of Temperature Rises in the Human Eye Exposed to EM Waves in the ISM Frequency Bands. IEICE Transactions on Communications. 83(3). 541–548. 20 indexed citations
20.
Hirata, Akimasa, et al.. (1998). Efficiency Enhancement in a Cherenkov Laser by a Proper Variation of Dielectric Thickness. IEICE Transactions on Electronics. 81(11). 1764–1765. 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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