Hiromitsu Awano

540 total citations
47 papers, 379 citations indexed

About

Hiromitsu Awano is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Hardware and Architecture. According to data from OpenAlex, Hiromitsu Awano has authored 47 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Electrical and Electronic Engineering, 15 papers in Artificial Intelligence and 10 papers in Hardware and Architecture. Recurrent topics in Hiromitsu Awano's work include Advancements in Semiconductor Devices and Circuit Design (12 papers), Integrated Circuits and Semiconductor Failure Analysis (10 papers) and Semiconductor materials and devices (10 papers). Hiromitsu Awano is often cited by papers focused on Advancements in Semiconductor Devices and Circuit Design (12 papers), Integrated Circuits and Semiconductor Failure Analysis (10 papers) and Semiconductor materials and devices (10 papers). Hiromitsu Awano collaborates with scholars based in Japan, United States and China. Hiromitsu Awano's co-authors include Takashi Satō, Ketul B. Sutaria, Yu Cao, Masanori Hashimoto, Makoto Ikeda, Masayuki Hiromoto, Jyothi Velamala, Hiroshi G. Okuno, Takeshi Mizumoto and Ikkyu Aihara and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Electron Devices and Frontiers in Neuroscience.

In The Last Decade

Hiromitsu Awano

41 papers receiving 375 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hiromitsu Awano Japan 10 235 91 70 48 33 47 379
Wonil Chang South Korea 9 132 0.6× 40 0.4× 101 1.4× 10 0.2× 36 1.1× 21 313
M. Valencia Spain 9 104 0.4× 93 1.0× 92 1.3× 18 0.4× 63 1.9× 49 258
Tsutomu Sugawara Japan 8 230 1.0× 26 0.3× 44 0.6× 12 0.3× 6 0.2× 27 399
Debjit Pal United States 10 148 0.6× 88 1.0× 30 0.4× 26 0.5× 18 0.5× 48 291
Han-Wen Hu Taiwan 9 218 0.9× 37 0.4× 67 1.0× 22 0.5× 77 2.3× 15 273
Yoshifumi Manabe Japan 11 69 0.3× 69 0.8× 81 1.2× 164 3.4× 33 1.0× 58 326
Theodore M. Wong United States 11 337 1.4× 69 0.8× 167 2.4× 174 3.6× 25 0.8× 21 623
Hisham Abdalla United States 9 417 1.8× 12 0.1× 100 1.4× 56 1.2× 14 0.4× 20 523
Tzu-Hsiang Hsu Taiwan 13 650 2.8× 47 0.5× 121 1.7× 25 0.5× 106 3.2× 21 736

Countries citing papers authored by Hiromitsu Awano

Since Specialization
Citations

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

Fields of papers citing papers by Hiromitsu Awano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiromitsu Awano

This figure shows the co-authorship network connecting the top 25 collaborators of Hiromitsu Awano. A scholar is included among the top collaborators of Hiromitsu Awano 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 Hiromitsu Awano. Hiromitsu Awano 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
3.
Satō, Takashi, et al.. (2024). BayesianSpikeFusion: accelerating spiking neural network inference via Bayesian fusion of early prediction. Frontiers in Neuroscience. 18. 1420119–1420119. 2 indexed citations
4.
Awano, Hiromitsu, et al.. (2023). A Robust and Energy Efficient Hyperdimensional Computing System for Voltage-scaled Circuits. ACM Transactions on Embedded Computing Systems. 23(6). 1–20. 2 indexed citations
5.
Awano, Hiromitsu, et al.. (2023). DependableHD. 416–422. 3 indexed citations
7.
Ohara, Satoshi, Tetsuya Ogata, & Hiromitsu Awano. (2021). Binary Neural Network in Robotic Manipulation: Flexible Object Manipulation for Humanoid Robot Using Partially Binarized Auto-Encoder on FPGA. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 6010–6015. 2 indexed citations
8.
Awano, Hiromitsu, et al.. (2021). Visualization of a chorus structure in multiple frog species by a sound discrimination device. Journal of Comparative Physiology A. 207(1). 87–98. 1 indexed citations
9.
Awano, Hiromitsu & Makoto Ikeda. (2019). Fourℚ on ASIC: Breaking Speed Records for Elliptic Curve Scalar Multiplication. 1733–1738. 1 indexed citations
10.
Ikeda, Makoto, et al.. (2019). 33us, 94uJ Optimal Ate Pairing Engine on BN Curve over 254b Prime Field in 65nm CMOS FDSOI. 263–266. 4 indexed citations
11.
Awano, Hiromitsu, et al.. (2019). PUFNet: A Deep Neural Network Based Modeling Attack for Physically Unclonable Function. 1–4. 12 indexed citations
12.
Awano, Hiromitsu, et al.. (2018). An Encryption-Authentication Unified A/D Conversion Scheme for IoT Sensor Nodes. 2162. 123–126. 9 indexed citations
13.
Mizumoto, Takeshi, Ikkyu Aihara, Takuma Otsuka, Hiromitsu Awano, & Hiroshi G. Okuno. (2017). Swarm of Sound-to-Light Conversion Devices to Monitor Acoustic Communication Among Small Nocturnal Animals. Journal of Robotics and Mechatronics. 29(1). 255–267. 3 indexed citations
14.
Aihara, Ikkyu, Takeshi Mizumoto, Hiromitsu Awano, & Hiroshi G. Okuno. (2016). Call Alternation Between Specific Pairs of Male Frogs Revealed by a Sound-Imaging Method in Their Natural Habitat. 2597–2601. 4 indexed citations
15.
Otsuka, Takuma, Ikkyu Aihara, Hiromitsu Awano, et al.. (2015). Recognition of In-Field Frog Chorusing Using Bayesian Nonparametric Microphone Array Processing.. National Conference on Artificial Intelligence. 2–6. 4 indexed citations
16.
Aihara, Ikkyu, Takeshi Mizumoto, Takuma Otsuka, et al.. (2014). Spatio-Temporal Dynamics in Collective Frog Choruses Examined by Mathematical Modeling and Field Observations. Scientific Reports. 4(1). 3891–3891. 64 indexed citations
17.
Awano, Hiromitsu, et al.. (2014). Automation of Model Parameter Estimation for Random Telegraph Noise. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. E97.A(12). 2383–2392. 2 indexed citations
18.
Velamala, Jyothi, Ketul B. Sutaria, Hiromitsu Awano, et al.. (2013). Compact Modeling of Statistical BTI Under Trapping/Detrapping. IEEE Transactions on Electron Devices. 60(11). 3645–3654. 66 indexed citations
19.
Awano, Hiromitsu, Hiroshi Tsutsui, Hiroyuki Ochi, & Takashi Satō. (2013). Multi-trap RTN parameter extraction based on Bayesian inference. 597–602. 5 indexed citations
20.
Awano, Hiromitsu, et al.. (2010). Human-robot cooperation in arrangement of objects using confidence measure of neuro-dynamical system. 2533–2538. 2 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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