Tadashi Shibata

1.8k total citations
141 papers, 1.3k citations indexed

About

Tadashi Shibata is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Tadashi Shibata has authored 141 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Electrical and Electronic Engineering, 51 papers in Computer Vision and Pattern Recognition and 36 papers in Artificial Intelligence. Recurrent topics in Tadashi Shibata's work include CCD and CMOS Imaging Sensors (38 papers), Neural Networks and Applications (28 papers) and Advanced Memory and Neural Computing (22 papers). Tadashi Shibata is often cited by papers focused on CCD and CMOS Imaging Sensors (38 papers), Neural Networks and Applications (28 papers) and Advanced Memory and Neural Computing (22 papers). Tadashi Shibata collaborates with scholars based in Japan, United States and France. Tadashi Shibata's co-authors include Tadahiro Ohmi, T. Nitta, Renyuan Zhang, George I. Bourianoff, Dmitri E. Nikonov, M. Otsuki, Hongbo Zhu, Steven P. Levitan, Wolfgang Porod and György Csaba and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Journal of The Electrochemical Society.

In The Last Decade

Tadashi Shibata

132 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tadashi Shibata Japan 18 909 276 239 209 204 141 1.3k
K. Yamada Japan 18 647 0.7× 104 0.4× 255 1.1× 103 0.5× 98 0.5× 96 1.2k
Xuecheng Zou China 19 1.1k 1.2× 338 1.2× 221 0.9× 105 0.5× 263 1.3× 254 1.9k
Liang Shi China 18 703 0.8× 192 0.7× 293 1.2× 172 0.8× 155 0.8× 79 2.1k
Ya‐Chin King Taiwan 26 3.1k 3.5× 180 0.7× 110 0.5× 71 0.3× 257 1.3× 230 3.3k
A. Grunnet-Jepsen United States 16 1.0k 1.1× 50 0.2× 250 1.0× 307 1.5× 111 0.5× 47 1.8k
Guangya Zhou Singapore 28 1.7k 1.9× 162 0.6× 69 0.3× 251 1.2× 1.1k 5.3× 156 2.5k
Xin Yang China 24 451 0.5× 62 0.2× 235 1.0× 677 3.2× 648 3.2× 98 1.9k
Young Kim South Korea 17 539 0.6× 30 0.1× 214 0.9× 215 1.0× 283 1.4× 99 1.3k
Joseph E. Ford United States 29 2.1k 2.3× 82 0.3× 193 0.8× 142 0.7× 625 3.1× 162 2.8k

Countries citing papers authored by Tadashi Shibata

Since Specialization
Citations

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

Fields of papers citing papers by Tadashi Shibata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tadashi Shibata

This figure shows the co-authorship network connecting the top 25 collaborators of Tadashi Shibata. A scholar is included among the top collaborators of Tadashi Shibata 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 Tadashi Shibata. Tadashi Shibata 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.
Nikonov, Dmitri E., György Csaba, Wolfgang Porod, et al.. (2015). Coupled-Oscillator Associative Memory Array Operation for Pattern Recognition. IEEE Journal on Exploratory Solid-State Computational Devices and Circuits. 1. 85–93. 113 indexed citations
2.
Shibata, Tadashi, et al.. (2012). Unsupervised object extraction by contour delineation and texture-based discrimination. European Signal Processing Conference. 1945–1949. 1 indexed citations
3.
Miyoshi, Takashi & Tadashi Shibata. (2010). A hardware-friendly object detection algorithm based on variable-block-size directional-edge histograms. World Automation Congress. 1–6. 2 indexed citations
4.
Yamasaki, Toshihiko & Tadashi Shibata. (2007). A Low-Power Floating-Gate-MOS-Based CDMA Matched Filter Featuring Coupling Capacitor Disconnection. IEEE Journal of Solid-State Circuits. 42(2). 422–430. 5 indexed citations
5.
Shibata, Tadashi, et al.. (2006). Illumination-invariant face identification using edge-based feature vectors in pseudo-2D Hidden Markov Models. European Signal Processing Conference. 1–5. 13 indexed citations
6.
Mita, Yoshio, et al.. (2005). An Analog Visual Pre-Processing Processor Employing Cyclic Line Access in Only-Nearest-Neighbor-Interconnects Architecture. Neural Information Processing Systems. 18. 971–978. 6 indexed citations
7.
Yamasaki, Toshihiko & Tadashi Shibata. (2003). Analog soft-pattern-matching classifier using floating-gate mos technology. IEEE Transactions on Neural Networks. 14(5). 1257–1265.
8.
Shibata, Tadashi, et al.. (2003). A Mixed-Signal VLSI for Real-Time Generation of Edge-Based Image Vectors. Neural Information Processing Systems. 16. 1035–1042. 12 indexed citations
9.
Shibata, Tadashi. (2002). Intelligent Signal Processing Based on a Psychologically-Inspired VLSI Brain Model. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 85(3). 600–609. 7 indexed citations
10.
Nakada, Akira, et al.. (1999). Fully-parallel VLSI implementation of vector quantization processor using neuron-MOS technology. IEICE Transactions on Electronics. 1730–1737. 4 indexed citations
11.
Shibata, Tadashi, et al.. (1999). Automatic Defect Pattern Detection on LSI Wafers Using Image Processing Techniques. IEICE Transactions on Electronics. 82(6). 1003–1012. 17 indexed citations
12.
Shibata, Tadashi, et al.. (1999). A Compact Memory-Merged Vector-Matching Circuitry for Neuron-MOS Associative Processor. IEICE Transactions on Electronics. 82(9). 1715–1721. 1 indexed citations
13.
Ohmi, Tadahiro & Tadashi Shibata. (1997). Functionality Enahncement in Elemental Devices for Implementing Intelligence on Integrated Circuits. IEICE Transactions on Electronics. 80(7). 841–848.
14.
Kotani, Koji, et al.. (1997). Low Power Neuron-MOS Technology for High-Functionality Logic Gate Synthesis. IEICE Transactions on Electronics. 80(7). 924–930. 6 indexed citations
15.
Shibata, Tadashi & Tadahiro Ohmi. (1996). Implementing Intelligence in Silicon Integrated Circuits Using Neuron-Like High-Functionality Transistors. Journal of Robotics and Mechatronics. 8(6). 508–515. 2 indexed citations
16.
Shibata, Tadashi, et al.. (1995). Neuron-MOS Temporal Winner Search Hardware for Fully-Parallel Data Processing. Neural Information Processing Systems. 8. 685–691.
17.
Ohmi, Tadahiro & Tadashi Shibata. (1994). The Concept of Four-Terminal Devices and Its Significance in the Implementation of Intelligent Integrated Circuits. IEICE Transactions on Electronics. 77(7). 1032–1041. 6 indexed citations
18.
Shibata, Tadashi & Tadahiro Ohmi. (1993). Neuron MOS voltage-mode circuit technology for multiple-valued logic. IEICE Transactions on Electronics. 76(3). 347–356. 12 indexed citations
19.
Kotani, Koji, et al.. (1993). Self-Aligned Aluminum-Gate MOSFET's Having Ultra-Shallow Junctions Formed by 450℃ Furnace Annealing (Special Issue on Sub-Half Micron Si Device and Process Technologies). IEICE Transactions on Electronics. 76(4). 541–547. 3 indexed citations
20.
Ohmi, Tadahiro & Tadashi Shibata. (1990). Microcontamination-Advanced Manufacturing Process Technologies. European Solid-State Device Research Conference. 625–632. 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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