Noboru Niki

429 total papers · 1.9k total citations
191 papers, 1.3k citations indexed

About

Noboru Niki is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Noboru Niki has authored 191 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 132 papers in Radiology, Nuclear Medicine and Imaging, 89 papers in Pulmonary and Respiratory Medicine and 45 papers in Computer Vision and Pattern Recognition. Recurrent topics in Noboru Niki's work include Radiomics and Machine Learning in Medical Imaging (100 papers), Lung Cancer Diagnosis and Treatment (74 papers) and Medical Imaging Techniques and Applications (55 papers). Noboru Niki is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (100 papers), Lung Cancer Diagnosis and Treatment (74 papers) and Medical Imaging Techniques and Applications (55 papers). Noboru Niki collaborates with scholars based in Japan, United States and United Arab Emirates. Noboru Niki's co-authors include Yoshiki Kawata, Hironobu Ohmatsu, Noriyuki Moriyama, Ryutaro Kakinuma, Masahiro Kaneko, N. Moriyama, K. Eguchi, Kenji Eguchi, H. Satoh and Keizo Kanazawa and has published in prestigious journals such as Sensors, Pattern Recognition and Medical Physics.

In The Last Decade

Noboru Niki

166 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Noboru Niki 879 751 331 299 153 191 1.3k
Takayuki Ishida 1.0k 1.2× 717 1.0× 286 0.9× 351 1.2× 265 1.7× 105 1.6k
Xiangrong Zhou 838 1.0× 289 0.4× 476 1.4× 211 0.7× 424 2.8× 94 1.8k
Mirabela Rusu 515 0.6× 419 0.6× 210 0.6× 288 1.0× 181 1.2× 84 1.2k
Hidetaka Arimura 810 0.9× 543 0.7× 185 0.6× 245 0.8× 217 1.4× 123 1.3k
Lena Costaridou 843 1.0× 379 0.5× 507 1.5× 715 2.4× 254 1.7× 85 1.5k
Roger Engelmann 1.1k 1.2× 872 1.2× 128 0.4× 387 1.3× 205 1.3× 54 1.5k
Wenqing Sun 564 0.6× 396 0.5× 128 0.4× 197 0.7× 120 0.8× 67 1.3k
Takayuki Kitasaka 507 0.6× 359 0.5× 682 2.1× 203 0.7× 254 1.7× 142 1.3k
Marcos Salganicoff 579 0.7× 426 0.6× 248 0.7× 330 1.1× 210 1.4× 56 1.2k
Ali Kamen 748 0.9× 344 0.5× 321 1.0× 254 0.8× 291 1.9× 66 1.4k

Countries citing papers authored by Noboru Niki

Since Specialization
Citations

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

Fields of papers citing papers by Noboru Niki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noboru Niki

This figure shows the co-authorship network connecting the top 25 collaborators of Noboru Niki. A scholar is included among the top collaborators of Noboru Niki 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 Noboru Niki. Noboru Niki 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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2026