Takashi Morie

2.2k total citations
177 papers, 1.5k citations indexed

About

Takashi Morie is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Takashi Morie has authored 177 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Electrical and Electronic Engineering, 46 papers in Artificial Intelligence and 33 papers in Computer Vision and Pattern Recognition. Recurrent topics in Takashi Morie's work include Advanced Memory and Neural Computing (60 papers), CCD and CMOS Imaging Sensors (44 papers) and Neural Networks and Applications (29 papers). Takashi Morie is often cited by papers focused on Advanced Memory and Neural Computing (60 papers), CCD and CMOS Imaging Sensors (44 papers) and Neural Networks and Applications (29 papers). Takashi Morie collaborates with scholars based in Japan, China and United States. Takashi Morie's co-authors include Makoto Nagata, Akira Iwata, Yoshiyuki Amemiya, Eiji Fujii, Motoki Ueda, Kazuyuki Aihara, Yu Nishitani, Yukihiro Kaneko, Hakaru Tamukoh and Atsushi Iwata and has published in prestigious journals such as PLoS ONE, Journal of Applied Physics and IEEE Access.

In The Last Decade

Takashi Morie

163 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takashi Morie Japan 16 1.2k 400 317 235 160 177 1.5k
Mohammed Ismail United States 10 1.1k 0.9× 398 1.0× 574 1.8× 288 1.2× 267 1.7× 47 1.6k
C. Diorio United States 23 1.3k 1.1× 635 1.6× 368 1.2× 374 1.6× 297 1.9× 63 1.9k
Mika Laiho Finland 16 1.0k 0.8× 164 0.4× 135 0.4× 468 2.0× 142 0.9× 118 1.2k
Farooq Ahmad Khanday India 20 1.5k 1.2× 356 0.9× 205 0.6× 223 0.9× 77 0.5× 123 1.9k
B.J. Sheu United States 26 1.9k 1.6× 628 1.6× 623 2.0× 140 0.6× 143 0.9× 179 2.6k
Manuel Delgado‐Restituto Spain 17 721 0.6× 433 1.1× 178 0.6× 265 1.1× 162 1.0× 128 1.2k
Jennifer Hasler United States 19 1.1k 0.9× 562 1.4× 362 1.1× 217 0.9× 231 1.4× 103 1.5k
Kamran Eshraghian Australia 17 2.0k 1.6× 390 1.0× 178 0.6× 489 2.1× 206 1.3× 120 2.5k
Greg Snider United States 14 989 0.8× 115 0.3× 178 0.6× 326 1.4× 191 1.2× 26 1.2k
Alister Hamilton United Kingdom 14 484 0.4× 243 0.6× 200 0.6× 147 0.6× 160 1.0× 72 813

Countries citing papers authored by Takashi Morie

Since Specialization
Citations

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

Fields of papers citing papers by Takashi Morie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takashi Morie

This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Morie. A scholar is included among the top collaborators of Takashi Morie 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 Takashi Morie. Takashi Morie 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.
Morie, Takashi, et al.. (2024). Learning reservoir dynamics with temporal self-modulation. Communications Physics. 7(1). 9 indexed citations
3.
Ueda, Motoki, Yukihiro Kaneko, Yu Nishitani, Takashi Morie, & Eiji Fujii. (2012). Biologically-inspired learning device using three-terminal ferroelectric memristor. 275–276. 3 indexed citations
4.
Ishikawa, Seiji, et al.. (2010). On Detecting a Human and Its Body Direction from a Video. 39(6). 1104–1111. 1 indexed citations
5.
Matsukawa, Kazuo, Takashi Morie, Y. Tokunaga, et al.. (2009). Design methods for pipeline & delta-sigma A-to-D converters with convex optimization. Asia and South Pacific Design Automation Conference. 690–695. 5 indexed citations
6.
Okada, Masato, et al.. (2008). Coarse image region segmentation using a region-based coupled MRF model and its CMOS circuit implementation. IEICE Technical Report; IEICE Tech. Rep.. 107(542). 49–54.
7.
Morie, Takashi, et al.. (2006). A Pixel Circuit Implementing an Anisotropic Diffusion Algorithm for Subjective Contour Generation Using Merged Analog-Digital Approach (Special Section on Papers Awarded the Student Paper Award at NCSP'06). 10(4). 259–262. 1 indexed citations
8.
Morie, Takashi, et al.. (2006). A Real-time Image Processing System Using a Gabor-filtering LSI Realizing Primary Visual Cortex Functions. 2006. 516–519. 3 indexed citations
9.
Sawada, Atsushi, Takashi Morie, Akikazu Matsumoto, et al.. (2006). A 10.8mA Single Chip Transceiver for 430MHz Narrowband Systems in 0.15/spl mu/m CMOS. 1480–1489. 7 indexed citations
10.
Morie, Takashi, et al.. (2004). Pulse Modulation Techniques for Nonlinear Dynamical Systems and a CMOS Chaos Circuit with Arbitrary 1-D Maps. IEICE Transactions on Electronics. 87(11). 1856–1862. 11 indexed citations
11.
Morie, Takashi, et al.. (2004). Gabor filtering usinc cellular neural networks and its application to face/object recognition. World Automation Congress. 18. 237–242. 1 indexed citations
12.
Ando, Hiroshi, et al.. (2002). Image Segmentation/Extraction Using Nonlinear Cellular Networks and Their VLSI Implementation Using Pulse-Modulation Techniques. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 85(2). 381–388. 7 indexed citations
13.
Ando, Hiroshi, Takashi Morie, Makoto Nagata, & Atsushi Iwata. (2000). A Nonlinear oscillator network for Gray-level image segmentation and PWM/PPM circuits for its VLSI implementation. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 83(2). 329–336. 13 indexed citations
14.
Kinoshita, Shigeo, Takashi Morie, Makoto Nagata, & Atsushi Iwata. (1999). New Non-Volatile Analog Memory Circuits Using PWM Methods. IEICE Transactions on Electronics. 1655–1661. 3 indexed citations
15.
Morie, Takashi, et al.. (1998). A Stochastic Associative Memory Using Single-Electron Tunneling Devices. IEICE Transactions on Electronics. 81(1). 30–35. 7 indexed citations
16.
Ando, Hiroshi, Takashi Morie, Makoto Nagata, & Atsushi Iwata. (1998). Oscillator Networks for Image Segmentation and Their Circuits Using Pulse Modulation Methods. International Conference on Neural Information Processing. 586–589. 3 indexed citations
17.
Morie, Takashi, et al.. (1997). An Architecture of Functional Image Sensor using Pulse Width Modulation.. 97. 63–70.
18.
Morie, Takashi, Osamu Fujita, & K. Uchimura. (1997). Self-Learning Analog Neural Network LSI with High-Resolution Non-Volatile Analog Memory and a Partially-Serial Weight-Update Architecture. IEICE Transactions on Electronics. 80(7). 990–995. 9 indexed citations
19.
Kondo, Masaki, et al.. (1995). Model-adaptable parameter extraction system for MOSFET models. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 78(5). 569–572. 3 indexed citations
20.
Morie, Takashi & Yoshihito Amemiya. (1993). Deterministic Boltzmann Machine Learning Improved for Analog LSI Implementation. IEICE Transactions on Electronics. 1167–1173. 6 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026