Akira Kitamura

127 total papers · 1.1k total citations
80 papers, 842 citations indexed

About

Akira Kitamura is a scholar working on Materials Chemistry, Inorganic Chemistry and Mechanical Engineering. According to data from OpenAlex, Akira Kitamura has authored 80 papers receiving a total of 842 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Materials Chemistry, 34 papers in Inorganic Chemistry and 13 papers in Mechanical Engineering. Recurrent topics in Akira Kitamura's work include Radioactive element chemistry and processing (33 papers), Nuclear Materials and Properties (15 papers) and Chemical and Physical Properties in Aqueous Solutions (12 papers). Akira Kitamura is often cited by papers focused on Radioactive element chemistry and processing (33 papers), Nuclear Materials and Properties (15 papers) and Chemical and Physical Properties in Aqueous Solutions (12 papers). Akira Kitamura collaborates with scholars based in Japan, United States and France. Akira Kitamura's co-authors include Hirotake Moriyama, Dhanpat Rai, Enzo Curti, Mikazu Yui, Kazuyuki Fujiwara, Kenso Fujiwara, C. Cuesta, Martin A. Glaus, J. Tits and Tadashi Yamamoto and has published in prestigious journals such as Journal of Applied Physics, Geochimica et Cosmochimica Acta and International Journal of Hydrogen Energy.

In The Last Decade

Akira Kitamura

69 papers receiving 768 citations

Author Peers

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

Author Last Decade Papers Cites
Akira Kitamura 315 312 113 99 97 80 842
Alexey Safonov 337 1.1× 193 0.6× 92 0.8× 114 1.2× 82 0.8× 106 801
Shih‐Chin Tsai 234 0.7× 520 1.7× 82 0.7× 137 1.4× 48 0.5× 56 935
Elżbieta Anna Stefaniak 185 0.6× 242 0.8× 125 1.1× 78 0.8× 42 0.4× 53 947
M. Bouby 430 1.4× 205 0.7× 95 0.8× 101 1.0× 108 1.1× 39 839
T.H. Pigford 301 1.0× 398 1.3× 92 0.8× 115 1.2× 129 1.3× 71 930
M. Plaschke 284 0.9× 200 0.6× 87 0.8× 44 0.4× 63 0.6× 43 1.0k
Euo Chang Jung 291 0.9× 194 0.6× 110 1.0× 35 0.4× 60 0.6× 79 740
Motoyuki Matsuo 129 0.4× 237 0.8× 159 1.4× 70 0.7× 43 0.4× 105 1.1k
Donald T. Reed 665 2.1× 356 1.1× 234 2.1× 155 1.6× 63 0.6× 64 982
Joe S. Small 247 0.8× 152 0.5× 131 1.2× 112 1.1× 92 0.9× 45 903

Countries citing papers authored by Akira Kitamura

Since Specialization
Citations

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

Fields of papers citing papers by Akira Kitamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akira Kitamura

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