Kazushi Maruo

280 total papers · 2.2k total citations
186 papers, 1.4k citations indexed

About

Kazushi Maruo is a scholar working on Statistics and Probability, Psychiatry and Mental health and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kazushi Maruo has authored 186 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Statistics and Probability, 29 papers in Psychiatry and Mental health and 26 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kazushi Maruo's work include Statistical Methods in Clinical Trials (30 papers), Statistical Methods and Bayesian Inference (29 papers) and Advanced Causal Inference Techniques (17 papers). Kazushi Maruo is often cited by papers focused on Statistical Methods in Clinical Trials (30 papers), Statistical Methods and Bayesian Inference (29 papers) and Advanced Causal Inference Techniques (17 papers). Kazushi Maruo collaborates with scholars based in Japan, United States and United Kingdom. Kazushi Maruo's co-authors include Masahiko Gosho, Hisashi Noma, Norio Sugawara, Yuta Nemoto, Yusuke Yamaguchi, Tomiki Sumiyoshi, Kazutaka Shimoda, Norio Yasui‐Furukori, Yuma Yokoi and Takashi Arao and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Kazushi Maruo

166 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Kazushi Maruo 201 193 162 158 136 186 1.4k
Norbert Benda 231 1.1× 74 0.4× 153 0.9× 227 1.4× 208 1.5× 83 1.8k
Zoran Bukumirić 178 0.9× 76 0.4× 55 0.3× 110 0.7× 70 0.5× 169 1.6k
Adam Ciarleglio 314 1.6× 352 1.8× 118 0.7× 60 0.4× 56 0.4× 53 1.3k
Hua Jin 621 3.1× 153 0.8× 316 2.0× 94 0.6× 166 1.2× 43 1.5k
Min Qian 133 0.7× 87 0.5× 89 0.5× 106 0.7× 269 2.0× 104 1.6k
Daniel Cuadras 158 0.8× 98 0.5× 270 1.7× 94 0.6× 27 0.2× 62 1.6k
D. Leann Long 119 0.6× 36 0.2× 145 0.9× 285 1.8× 163 1.2× 130 1.6k
Robert Morlock 166 0.8× 132 0.7× 61 0.4× 137 0.9× 20 0.1× 97 1.6k
Adina Zeki Al Hazzouri 290 1.4× 75 0.4× 162 1.0× 223 1.4× 31 0.2× 61 1.4k
Hugh Senior 296 1.5× 185 1.0× 290 1.8× 351 2.2× 25 0.2× 51 1.5k

Countries citing papers authored by Kazushi Maruo

Since Specialization
Citations

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

Fields of papers citing papers by Kazushi Maruo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazushi Maruo

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