Naoki Masuda

10.8k citations
285 papers · 6.6k · h-index 45

Impact in

Papers in

Naoki Masuda

277 papers receiving 6.4k citations

Peers

Naoki Masuda
Comparison fields: 5 of 203
  • Statistical and Nonlinear Physics 2.1k
  • Cognitive Neuroscience 1.1k
  • Modeling and Simulation 259
  • Cellular and Molecular Neuroscience 890
  • Safety Research 400
Replace Claudio Castellano with:
Claudio Castellano Italy
Mario Chávez France
Píetro Lió United Kingdom
Dong‐Uk Hwang South Korea
Changsong Zhou Hong Kong
Stefan Bornholdt Germany
Yang‐Yu Liu United States
Shai S. Shen-Orr Israel
James Sneyd New Zealand
Jari Saramäki Finland
Naoki Masuda relative to Claudio Castellano Italy Claudio Castellano's profile →
Citations per field
00.5×6.2×
Claudio Castellano · 1×
Citations per year

Countries citing papers authored by Naoki Masuda

Since Specialization
Citations

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

Fields of papers citing papers by Naoki Masuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Naoki Masuda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Naoki Masuda Line = papers co-authored together Naoki Masuda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 285 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002191
2 2007159
3 2003151
4 2007144
5 2016142
6 2008120
7 2013118
8 2013117
9 2013105
10 200496
11 200494
12 201492
13 201092
14 201985
15 201384
16 201884
17 200781
18 200678
19 200972
20 201368

About Naoki Masuda

Naoki Masuda is a scholar working on Statistical and Nonlinear Physics, Sociology and Political Science, Cognitive Neuroscience, Molecular Biology and Cellular and Molecular Neuroscience, having authored 285 papers that have together received 6.6k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (88 papers), Opinion Dynamics and Social Influence (73 papers), Evolutionary Game Theory and Cooperation (51 papers), Neural dynamics and brain function (33 papers), Experimental Behavioral Economics Studies (19 papers), Mental Health Research Topics (17 papers), Functional Brain Connectivity Studies (15 papers) and Evolution and Genetic Dynamics (14 papers). The work is most often cited by research in Statistical and Nonlinear Physics (2.1k citations), Cognitive Neuroscience (1.1k citations), Modeling and Simulation (259 citations), Cellular and Molecular Neuroscience (890 citations) and Safety Research (400 citations). Naoki Masuda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Kazuyuki Aihara, Kazuyuki Aihara, Takamitsu Watanabe, Norio Konno, Petter Holme, Mitsuhiro Nakamura, Renaud Lambiotte, Hiroshi Kori, Hisashi Ohtsuki and Taro Takaguchi. Their work appears in journals such as Journal of Theoretical Biology, PLoS ONE, Scientific Reports, Neural Computation and New Journal of Physics.

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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