Daisuke Fujimoto

183 total papers · 620 total citations
80 papers, 354 citations indexed

About

Daisuke Fujimoto is a scholar working on Hardware and Architecture, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Daisuke Fujimoto has authored 80 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Hardware and Architecture, 46 papers in Artificial Intelligence and 30 papers in Electrical and Electronic Engineering. Recurrent topics in Daisuke Fujimoto's work include Physical Unclonable Functions (PUFs) and Hardware Security (44 papers), Cryptographic Implementations and Security (42 papers) and Chaos-based Image/Signal Encryption (28 papers). Daisuke Fujimoto is often cited by papers focused on Physical Unclonable Functions (PUFs) and Hardware Security (44 papers), Cryptographic Implementations and Security (42 papers) and Chaos-based Image/Signal Encryption (28 papers). Daisuke Fujimoto collaborates with scholars based in Japan, Belgium and France. Daisuke Fujimoto's co-authors include Yu‐ichi Hayashi, Makoto Nagata, Noriyuki Miura, Naofumi Homma, Takafumi Aoki, Youngwoo Kim, Daichi Tanaka, Tsutomu Matsumoto, Ingrid Verbauwhede and Josep Balasch and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Journal of Solid-State Circuits and AIAA Journal.

In The Last Decade

Daisuke Fujimoto

68 papers receiving 346 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Daisuke Fujimoto	216	174	171	72	29	80	354
Masaya Yoshikawa	188 0.9×	152 0.9×	164 1.0×	59 0.8×	44 1.5×	113	336
Haocheng Ma	157 0.7×	139 0.8×	145 0.8×	45 0.6×	43 1.5×	36	312
Xiaoxiao Wang	180 0.8×	255 1.5×	69 0.4×	49 0.7×	31 1.1×	50	370
M. B. Abdelhalim	121 0.6×	146 0.8×	110 0.6×	80 1.1×	12 0.4×	62	383
Ramesh Bhakthavatchalu	207 1.0×	227 1.3×	60 0.4×	43 0.6×	35 1.2×	69	353
Kui Dai	209 1.0×	230 1.3×	56 0.3×	43 0.6×	52 1.8×	63	378
Luca Cassano	232 1.1×	286 1.6×	84 0.5×	22 0.3×	15 0.5×	64	402
Amlan Ganguly	94 0.4×	224 1.3×	68 0.4×	46 0.6×	18 0.6×	42	354
Diego Puschini	126 0.6×	136 0.8×	76 0.4×	61 0.8×	18 0.6×	36	295
Piedad Brox	103 0.5×	128 0.7×	94 0.5×	82 1.1×	41 1.4×	69	336

Countries citing papers authored by Daisuke Fujimoto

Since Specialization

Citations

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

Fields of papers citing papers by Daisuke Fujimoto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisuke Fujimoto

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

All Works

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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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