Masaaki Obata

1.4k total citations
48 papers, 1.1k citations indexed

About

Masaaki Obata is a scholar working on Geophysics, Artificial Intelligence and Dermatology. According to data from OpenAlex, Masaaki Obata has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Geophysics, 9 papers in Artificial Intelligence and 6 papers in Dermatology. Recurrent topics in Masaaki Obata's work include Geological and Geochemical Analysis (31 papers), earthquake and tectonic studies (17 papers) and High-pressure geophysics and materials (17 papers). Masaaki Obata is often cited by papers focused on Geological and Geochemical Analysis (31 papers), earthquake and tectonic studies (17 papers) and High-pressure geophysics and materials (17 papers). Masaaki Obata collaborates with scholars based in Japan, United States and United Kingdom. Masaaki Obata's co-authors include Shun‐ichiro Karato, G.R. Davies, P. H. Nixon, D. Graham Pearson, Hachiro Tagami, Yasushi Tomita, Hideaki Takematsu, Taizo Kato, Masaaki Takahashi and Shohei Banno and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Cancer and Geology.

In The Last Decade

Masaaki Obata

45 papers receiving 1.0k citations

Peers

Masaaki Obata
Comparison fields: 5 of 84
  • Geophysics 756
  • Oncology 164
  • Dermatology 149
  • Epidemiology 123
  • Artificial Intelligence 111
Replace Jeff R. Taylor with:
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Ch. Neumann Germany
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Weifeng Zhang China
Petr Špaček Czechia
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Jinju Liu China
A. M. Martin United States
Jeff R. Taylor United States View profile →
Citations per field, relative to Masaaki Obata
Masaaki Obata · 1×
Citations per year, relative to Masaaki Obata
Masaaki Obata · 1×

Countries citing papers authored by Masaaki Obata

Since Specialization
Citations

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

Fields of papers citing papers by Masaaki Obata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masaaki Obata

This figure shows the co-authorship network connecting the top 25 collaborators of Masaaki Obata. A scholar is included among the top collaborators of Masaaki Obata 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 Masaaki Obata. Masaaki Obata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 12
3 1
4 0
5 15
6 1
7 29
8 2
9 1
10 24
11 8
12 19
13 129
14 126
15
A rapid in vitro test to assess skin moisturizers
12
16 6
17 62
18 54
19 12
20
Graphitic hornfels dikes in the Ronda high-temperature peridotite massif
11

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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