Masao Mori

137 total papers · 1.3k total citations
62 papers, 943 citations indexed

About

Masao Mori is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Masao Mori has authored 62 papers receiving a total of 943 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 9 papers in Management Science and Operations Research and 7 papers in Computer Networks and Communications. Recurrent topics in Masao Mori's work include Robotic Locomotion and Control (4 papers), Advanced Queuing Theory Analysis (4 papers) and Semantic Web and Ontologies (4 papers). Masao Mori is often cited by papers focused on Robotic Locomotion and Control (4 papers), Advanced Queuing Theory Analysis (4 papers) and Semantic Web and Ontologies (4 papers). Masao Mori collaborates with scholars based in Japan, United States and Germany. Masao Mori's co-authors include S. Hirose, R. Katoh, Shin‐ichiro Oyama, Shinsuke Ishikawa, Y Morishita, Tsuyoshi Miura, Satonori Nozawa, Yūji Shimizu, K. Shiokawa and Yuichi Otsuka and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, The FASEB Journal and Automatica.

In The Last Decade

Masao Mori

49 papers receiving 867 citations

Author Peers

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

Author						Papers	Cites
Masao Mori	411	240	199	124	122	62	943
Yiling Yang	139 0.3×	138 0.6×	444 2.2×	26 0.2×	22 0.2×	71	857
Wenyan Wang	148 0.4×	87 0.4×	35 0.2×	28 0.2×	130 1.1×	59	960
Qing Wang	93 0.2×	512 2.1×	42 0.2×	18 0.1×	47 0.4×	66	1.2k
Kaiqing Zhang	138 0.3×	31 0.1×	209 1.1×	94 0.8×	25 0.2×	85	1.2k
Yilong Liu	315 0.8×	368 1.5×	268 1.3×	10 0.1×	109 0.9×	67	937
Yuquan Wang	138 0.3×	77 0.3×	175 0.9×	16 0.1×	110 0.9×	78	869
Rui Shen	134 0.3×	39 0.2×	67 0.3×	55 0.4×	26 0.2×	92	916
Chenglong Zhang	252 0.6×	257 1.1×	135 0.7×	14 0.1×	24 0.2×	89	1.2k
P.R. Moore	67 0.2×	236 1.0×	260 1.3×	15 0.1×	103 0.8×	54	816
Wei Li	81 0.2×	111 0.5×	174 0.9×	26 0.2×	16 0.1×	112	1.1k

Countries citing papers authored by Masao Mori

Since Specialization

Citations

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

Fields of papers citing papers by Masao Mori

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masao Mori

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