Hirohiko Suwa

211 total papers · 1.4k total citations
115 papers, 900 citations indexed

About

Hirohiko Suwa is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Hirohiko Suwa has authored 115 papers receiving a total of 900 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computer Vision and Pattern Recognition, 31 papers in Electrical and Electronic Engineering and 28 papers in Computer Networks and Communications. Recurrent topics in Hirohiko Suwa's work include Context-Aware Activity Recognition Systems (28 papers), Human Mobility and Location-Based Analysis (20 papers) and IoT and Edge/Fog Computing (15 papers). Hirohiko Suwa is often cited by papers focused on Context-Aware Activity Recognition Systems (28 papers), Human Mobility and Location-Based Analysis (20 papers) and IoT and Edge/Fog Computing (15 papers). Hirohiko Suwa collaborates with scholars based in Japan, Indonesia and Germany. Hirohiko Suwa's co-authors include Keiichi Yasumoto, Yutaka Arakawa, Ikuya Miyamoto, Tadahiko IIZUKA, Yoichi Tsuboi, Manato Fujimoto, Yuki Matsuda, Yugo Nakamura, Hirozumi Yamaguchi and Eri Nakagawa and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Hirohiko Suwa

103 papers receiving 863 citations

Author Peers

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

Author						Papers	Cites
Hirohiko Suwa	214	209	173	166	146	115	900
Abdul Majeed	89 0.4×	148 0.7×	135 0.8×	44 0.3×	30 0.2×	76	969
Muhammad Asif	171 0.8×	92 0.4×	198 1.1×	79 0.5×	35 0.2×	54	883
Jie Pan	204 1.0×	42 0.2×	251 1.5×	140 0.8×	46 0.3×	52	938
Roberto Iglesias	34 0.2×	190 0.9×	72 0.4×	169 1.0×	169 1.2×	64	999
Sana Shahab	83 0.4×	60 0.3×	15 0.1×	35 0.2×	236 1.6×	94	927
Кrzysztof Przystupa	28 0.1×	67 0.3×	129 0.7×	142 0.9×	91 0.6×	92	701
John Aasted Sørensen	238 1.1×	57 0.3×	20 0.1×	49 0.3×	92 0.6×	70	840
Jackrit Suthakorn	18 0.1×	169 0.8×	65 0.4×	62 0.4×	324 2.2×	103	796
Jie Wu	65 0.3×	16 0.1×	199 1.2×	203 1.2×	178 1.2×	79	706
Hyunsoo Yoon	128 0.6×	138 0.7×	71 0.4×	81 0.5×	124 0.8×	49	813

Countries citing papers authored by Hirohiko Suwa

Since Specialization

Citations

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

Fields of papers citing papers by Hirohiko Suwa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hirohiko Suwa

This figure shows the co-authorship network connecting the top 25 collaborators of Hirohiko Suwa. A scholar is included among the top collaborators of Hirohiko Suwa 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 Hirohiko Suwa. Hirohiko Suwa 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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