Makoto Maeda

553 total citations
71 papers, 393 citations indexed

About

Makoto Maeda is a scholar working on Aerospace Engineering, Radiation and Computer Vision and Pattern Recognition. According to data from OpenAlex, Makoto Maeda has authored 71 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Aerospace Engineering, 17 papers in Radiation and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Makoto Maeda's work include Nuclear Physics and Applications (17 papers), Nuclear reactor physics and engineering (17 papers) and Radiation Detection and Scintillator Technologies (12 papers). Makoto Maeda is often cited by papers focused on Nuclear Physics and Applications (17 papers), Nuclear reactor physics and engineering (17 papers) and Radiation Detection and Scintillator Technologies (12 papers). Makoto Maeda collaborates with scholars based in Japan, Australia and Morocco. Makoto Maeda's co-authors include Satoshi Kawata, Hidekazu Ishitobi, Zouheir Sekkat, Hong‐Bo Sun, Kenji Takada, Miṅ Gu, James W. M. Chon, Shintaro Nomakuchi, Yasuhiro Murakámi and Katsuhiro Inoue and has published in prestigious journals such as Applied Physics Letters, Analytical Chemistry and Scientific Reports.

In The Last Decade

Makoto Maeda

60 papers receiving 366 citations

Peers

Makoto Maeda

RADIA

EEE

Tong Ling China

Anton Myagotin Russia

Eline Janssens Belgium

Andrei Dabravolski Belgium

Seongchong Park South Korea

Elsevier Sdol

Sebastian Freidank Germany

Masataka Satô Japan

Seido Nagano Japan

M. Menouni France

Tong Ling China

Makoto Maeda

245 ×1.8

63 ×0.8

44 ×0.8

27 ×0.5

RADIA

131 ×2.5

EEE

Citations per year, relative to Makoto Maeda Makoto Maeda (= 1×) peers Tong Ling

Countries citing papers authored by Makoto Maeda

Since Specialization

Citations

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

Fields of papers citing papers by Makoto Maeda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makoto Maeda

This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Maeda. A scholar is included among the top collaborators of Makoto Maeda 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 Makoto Maeda. Makoto Maeda 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

Segawa, Mariko, I. Nishinaka, Makoto Maeda, & Y. Toh. (2025). Low-background alpha imaging system using a CMOS camera with suppressed dark current. Journal of Instrumentation. 20(10). P10048–P10048.

Watanabe, Shinya, Takahiro Nonaka, Makoto Maeda, et al.. (2024). Recent Status of Phase I Clinical Trials for Brain Tumors: A Regulatory Science Study of Exploratory Efficacy Endpoints. Therapeutic Innovation & Regulatory Science. 58(4). 655–662. 1 indexed citations

Kinoshita, Norikazu, Kazuaki Kosako, Takahiro Kato, et al.. (2023). Water contents in aggregates and cement pastes determined by gravimetric analysis and prompt γ-ray analysis. Journal of Radioanalytical and Nuclear Chemistry. 332(2). 479–486.

Watanabe, Shinya, Takahiro Nonaka, Makoto Maeda, et al.. (2023). Efficacy Endpoints in Phase II Clinical Trials for Meningioma: An Analysis of Recent Clinical Trials. Therapeutic Innovation & Regulatory Science. 57(3). 603–610. 3 indexed citations

Kimura, A., Shôji Nakamura, Osamu Iwamoto, et al.. (2023). Measurements of the Neutron Total and Capture Cross Sections and Derivation of the Resonance Parameters of ¹⁸¹ Ta. Nuclear Science and Engineering. 198(4). 786–803. 1 indexed citations

SUZUKI, Katsuyoshi, et al.. (2022). Intracranial EEG Recordings of High-Frequency Activity From a Wireless Implantable BMI Device in Awake Nonhuman Primates. IEEE Transactions on Biomedical Engineering. 70(4). 1107–1113. 5 indexed citations

Maeda, Makoto, et al.. (2022). Effect of sample density in prompt γ-ray analysis. Scientific Reports. 12(1). 6287–6287. 1 indexed citations

Maehata, Keisuke, Naoko Iyomoto, Makoto Maeda, et al.. (2012). Development of a TES Microcalorimeter with a Mushroom Shaped Absorber Deposited on an Insulating Layer in an Overhang Region. Journal of Low Temperature Physics. 167(3-4). 226–231.

Maeda, Makoto, et al.. (2011). Shape Description of 3D Objects by Curvature Spin Images Generated via Gaze Modeling. Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications. 2011(0). 196–201.

10.

Matsumoto, Shinya, et al.. (2010). 65.3: Distinguished Paper : High Efficiency Optical System for Ultra‐Short Throw Distance Projector Based on Multi‐laser Light Source. SID Symposium Digest of Technical Papers. 41(1). 972–975. 1 indexed citations

11.

Abe, Takaaki, et al.. (2010). Highly Efficient Ultra-wide Angle Projection Optics and Color Processing Technology for Laser Light Source Projector. The Journal of The Institute of Image Information and Television Engineers. 64(10). 1489–1497. 1 indexed citations

12.

Arai, Ken‐ichi, et al.. (2009). Color Tuner based optical engine for high brightness and wide color gamut. 1–2. 1 indexed citations

13.

Maeda, Makoto. (2004). Segmentation of Entire Circumferential Range Data by Using A Competitive Clustering Method. Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications. 2004(0). 47–52.

14.

Maeda, Makoto, et al.. (2003). A Clustering Method for Segmentation of All Circumferential Range Image. Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications. 2003(0). 11–16. 1 indexed citations

15.

Maeda, Makoto, Kousuke Kumamaru, & Katsuhiro Inoue. (2002). Shapes Modeling of 3-D Objects Using B-spline Surface Model Based on Projection Expression. Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications. 2002(0). 7–12. 1 indexed citations

16.

Maeda, Makoto, Kousuke Kumamaru, Hongbin Zha, & Katsuhiro Inoue. (1997). Estimation of Surface Curvatures by Means of Surface Fitting Adapted to Shape Changes and Its Application to Image Segmentation. Transactions of the Institute of Systems Control and Information Engineers. 10(1). 1–10. 1 indexed citations

17.

Nomakuchi, Shintaro, et al.. (1988). Synchronization of reproductive period among the two male forms and female of the damselfly Mnais pruinosa selys (Zygoptera: Calopterygidae). Ecological Research. 3(2). 75–87. 8 indexed citations

18.

Nomakuchi, Shintaro, et al.. (1984). An experimental study of the territoriality in Mnais pruinosa pruinosa Selys (Zygoptera: Calopterygidae). Odonatologica. 13(2). 259–267. 17 indexed citations

19.

Maeda, Makoto, et al.. (1982). THE SEASONAL CHANGE IN COLLEMBOLAN COMMUNITY OF SANDY BEACH. Nihon Seitai Gakkaishi. 32(4). 483–489. 2 indexed citations

20.

Nomakuchi, Shintaro, et al.. (1979). Daily food consumption of Mnais pruinosa Selys (Zygoptera: Calopterygidae). Odonatologica. 8(3). 159–169. 17 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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