Harunaga Hiwatari

1.2k total citations
2 papers, 14 citations indexed

About

Harunaga Hiwatari is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, Harunaga Hiwatari has authored 2 papers receiving a total of 14 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 2 papers in Hardware and Architecture and 2 papers in Artificial Intelligence. Recurrent topics in Harunaga Hiwatari's work include Cryptographic Implementations and Security (2 papers), Chaos-based Image/Signal Encryption (2 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (2 papers). Harunaga Hiwatari is often cited by papers focused on Cryptographic Implementations and Security (2 papers), Chaos-based Image/Signal Encryption (2 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (2 papers). Harunaga Hiwatari collaborates with scholars based in Denmark and Switzerland. Harunaga Hiwatari's co-authors include Francesco Regazzoni, Toru Akishita, Subhadeep Banik, Andrey Bogdanov and Takanori Isobe and has published in prestigious journals such as Infoscience (Ecole Polytechnique Fédérale de Lausanne).

In The Last Decade

Harunaga Hiwatari

2 papers receiving 13 citations

Peers

Harunaga Hiwatari
Stefan Heyse Germany
Gilles Piret Belgium
Naveen Mellempudi United States
Wooyeong Cho South Korea
Surbhi Goel United States
Paul Vicol Canada
Stefan Heyse Germany
Harunaga Hiwatari
Citations per year, relative to Harunaga Hiwatari Harunaga Hiwatari (= 1×) peers Stefan Heyse

Countries citing papers authored by Harunaga Hiwatari

Since Specialization
Citations

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

Fields of papers citing papers by Harunaga Hiwatari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harunaga Hiwatari

This figure shows the co-authorship network connecting the top 25 collaborators of Harunaga Hiwatari. A scholar is included among the top collaborators of Harunaga Hiwatari 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 Harunaga Hiwatari. Harunaga Hiwatari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

2 of 2 papers shown
1.
Banik, Subhadeep, Andrey Bogdanov, Francesco Regazzoni, et al.. (2018). Inverse gating for low energy encryption. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 173–176. 2 indexed citations
2.
Banik, Subhadeep, Andrey Bogdanov, Francesco Regazzoni, et al.. (2016). Round gating for low energy block ciphers. 6917. 55–60. 12 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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