Keizo Kanazawa

16 total papers · 422 total citations
7 papers, 282 citations indexed

About

Keizo Kanazawa is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Keizo Kanazawa has authored 7 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Keizo Kanazawa's work include Lung Cancer Diagnosis and Treatment (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Image Retrieval and Classification Techniques (2 papers). Keizo Kanazawa is often cited by papers focused on Lung Cancer Diagnosis and Treatment (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Image Retrieval and Classification Techniques (2 papers). Keizo Kanazawa collaborates with scholars based in Japan. Keizo Kanazawa's co-authors include Hironobu Ohmatsu, Noboru Niki, N. Moriyama, H. Satoh, Yoshiki Kawata, K. Eguchi, Masahiro Kaneko, Ryutaro Kakinuma, M. Kubo and Hitoshi Satoh and has published in prestigious journals such as Computerized Medical Imaging and Graphics, Aerosol and Air Quality Research and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

In The Last Decade

Keizo Kanazawa

6 papers receiving 255 citations

Author Peers

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

Author						Papers	Cites
Keizo Kanazawa	221	201	75	47	21	7	282
Akiko Kano	216 1.0×	157 0.8×	95 1.3×	53 1.1×	55 2.6×	13	305
Dahua Yu	260 1.2×	196 1.0×	92 1.2×	44 0.9×	23 1.1×	8	323
G. Gargano	228 1.0×	202 1.0×	93 1.2×	52 1.1×	15 0.7×	15	282
Aaron Wu	192 0.9×	91 0.5×	101 1.3×	68 1.4×	37 1.8×	4	269
Chaochun Liu	237 1.1×	197 1.0×	97 1.3×	28 0.6×	30 1.4×	4	315
Erdi Çallı	265 1.2×	102 0.5×	104 1.4×	33 0.7×	34 1.6×	8	324
Sergei V. Fotin	201 0.9×	176 0.9×	164 2.2×	50 1.1×	57 2.7×	15	330
Nariman Jahani	192 0.9×	111 0.6×	45 0.6×	22 0.5×	38 1.8×	11	304
Guillaume Chabin	240 1.1×	117 0.6×	65 0.9×	24 0.5×	34 1.6×	11	294
E. López Torres	127 0.6×	87 0.4×	101 1.3×	64 1.4×	11 0.5×	9	219

Countries citing papers authored by Keizo Kanazawa

Since Specialization

Citations

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

Fields of papers citing papers by Keizo Kanazawa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keizo Kanazawa

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