Takashi Morie
- Electrical and Electronic Engineering top 5%
- Biomedical Engineering top 10%
- Artificial Intelligence top 5%
- Cellular and Molecular Neuroscience top 10%
- Cognitive Neuroscience top 10%
- Co-authors
- Makoto NagataAkira IwataYoshiyuki AmemiyaMotoki UedaKazuyuki AiharaYukihiro KanekoEiji FujiiYu Nishitani
- Topics
- Advanced Memory and Neural Computing (60 papers)CCD and CMOS Imaging Sensors (44 papers)Neural Networks and Applications (29 papers)
- Cited by
- Electrical and Electronic EngineeringCellular and Molecular NeuroscienceHardware and Architecture
- Partner nations
- JapanChinaUnited States
In The Last Decade
Takashi Morie
163 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 78
- Electrical and Electronic Engineering 1.2k
- Biomedical Engineering 400
- Artificial Intelligence 317
- Cellular and Molecular Neuroscience 235
- Cognitive Neuroscience 160
Countries citing papers authored by Takashi Morie
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 1 | |
| 3 | 19 | |
| 4 | 10 | |
| 5 | Moving objects detection at an intersection by sequential background extraction | 8 |
| 6 | Applying HOG feature to the detection and tracking of a human on a bicycle | 7 |
| 7 | On Detecting a Human and Its Body Direction from a Video | 1 |
| 8 | 5 | |
| 9 | Gabor filtering usinc cellular neural networks and its application to face/object recognition | 1 |
| 10 | Pulse Modulation Techniques for Nonlinear Dynamical Systems and a CMOS Chaos Circuit with Arbitrary 1-D Maps | 11 |
| 11 | An Efficient Clustering Algorithm Using Stochastic Association Model and Its Implementation Using Nanostructures | 3 |
| 12 | A CMOS Stochastic Associative Processor Using PWM Chaotic Signals | 2 |
| 13 | A Nonlinear oscillator network for Gray-level image segmentation and PWM/PPM circuits for its VLSI implementation | 13 |
| 14 | New Non-Volatile Analog Memory Circuits Using PWM Methods | 3 |
| 15 | Nonlinear Function Generators and Chaotic Signal Generators Based on Pulse-Phase Modulation | 1 |
| 16 | Oscillator Networks for Image Segmentation and Their Circuits Using Pulse Modulation Methods | 3 |
| 17 | A Stochastic Associative Memory Using Single-Electron Tunneling Devices | 7 |
| 18 | An Architecture of Functional Image Sensor using Pulse Width Modulation. | 0 |
| 19 | Deterministic Boltzmann Machine Learning Improved for Analog LSI Implementation | 6 |
| 20 | Deterministic Boltzmann Machine Learning Improved for Analog LSI Implementation (Special Issue on New Architecture LSIs) | 2 |
About Takashi Morie
Takashi Morie is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Media Technology, having authored 177 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (60 papers), CCD and CMOS Imaging Sensors (44 papers) and Neural Networks and Applications (29 papers). The work is most often cited by research in Electrical and Electronic Engineering (1.2k citations), Cellular and Molecular Neuroscience (235 citations) and Hardware and Architecture (72 citations). Takashi Morie has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Makoto Nagata, Akira Iwata, Yoshiyuki Amemiya, Motoki Ueda, Kazuyuki Aihara, Yukihiro Kaneko, Eiji Fujii, Yu Nishitani, Hakaru Tamukoh and Atsushi Iwata. Their work appears in journals such as PLoS ONE, Journal of Applied Physics and IEEE Access.
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.