Hiroaki Kawashima

166 total papers · 980 total citations
65 papers, 341 citations indexed

About

Hiroaki Kawashima is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Mechanical Engineering. According to data from OpenAlex, Hiroaki Kawashima has authored 65 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 13 papers in Human-Computer Interaction and 12 papers in Mechanical Engineering. Recurrent topics in Hiroaki Kawashima's work include Gaze Tracking and Assistive Technology (12 papers), Visual Attention and Saliency Detection (11 papers) and Distributed Control Multi-Agent Systems (8 papers). Hiroaki Kawashima is often cited by papers focused on Gaze Tracking and Assistive Technology (12 papers), Visual Attention and Saliency Detection (11 papers) and Distributed Control Multi-Agent Systems (8 papers). Hiroaki Kawashima collaborates with scholars based in Japan, United States and Germany. Hiroaki Kawashima's co-authors include Magnus Egerstedt, Takashi Matsuyama, Greg Droge, Takatsugu Hirayama, Ryo Yonetani, Takekazu Kato, Rodrigo Verschae, Takao Sakai, Akio Sakurai and Takao Shimizu and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Hiroaki Kawashima

50 papers receiving 328 citations

Author Peers

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

Author						Papers	Cites
Hiroaki Kawashima	91	72	61	57	54	65	341
Christopher Reardon	45 0.5×	35 0.5×	215 3.5×	64 1.1×	66 1.2×	44	399
Taner Arsan	50 0.5×	114 1.6×	34 0.6×	21 0.4×	53 1.0×	35	342
David St-Onge	77 0.8×	22 0.3×	58 1.0×	26 0.5×	97 1.8×	43	313
Haiyang Liu	102 1.1×	85 1.2×	83 1.4×	22 0.4×	23 0.4×	57	316
Lingyan Hu	26 0.3×	58 0.8×	41 0.7×	19 0.3×	104 1.9×	67	385
Young-Seok Kim	64 0.7×	35 0.5×	147 2.4×	11 0.2×	17 0.3×	55	395
Jan Holub	53 0.6×	63 0.9×	88 1.4×	32 0.6×	15 0.3×	77	316
Michael Capps	107 1.2×	78 1.1×	74 1.2×	54 0.9×	26 0.5×	30	391
Jun-Yong Lee	22 0.2×	34 0.5×	30 0.5×	26 0.5×	74 1.4×	35	335
Yufeng Yao	92 1.0×	96 1.3×	41 0.7×	20 0.4×	98 1.8×	45	386

Countries citing papers authored by Hiroaki Kawashima

Since Specialization

Citations

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

Fields of papers citing papers by Hiroaki Kawashima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroaki Kawashima

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