Akiko Katayama

41 total papers · 875 total citations
25 papers, 649 citations indexed

About

Akiko Katayama is a scholar working on Electrical and Electronic Engineering, Electrochemistry and Materials Chemistry. According to data from OpenAlex, Akiko Katayama has authored 25 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Electrical and Electronic Engineering, 6 papers in Electrochemistry and 5 papers in Materials Chemistry. Recurrent topics in Akiko Katayama's work include Electrochemical Analysis and Applications (6 papers), Gas Sensing Nanomaterials and Sensors (4 papers) and Electrocatalysts for Energy Conversion (3 papers). Akiko Katayama is often cited by papers focused on Electrochemical Analysis and Applications (6 papers), Gas Sensing Nanomaterials and Sensors (4 papers) and Electrocatalysts for Energy Conversion (3 papers). Akiko Katayama collaborates with scholars based in Japan, United States and France. Akiko Katayama's co-authors include A. Hamelin, Jeffrey T. Corwin, David Allen, Naoto Nagaosa, Hiroshi Kumigashira, Y. Kaneko, M. Sakano, Harold Y. Hwang, M. S. Bahramy and K. Ishizaka and has published in prestigious journals such as Physical Review Letters, The Journal of Comparative Neurology and The Journal of Physical Chemistry.

In The Last Decade

Akiko Katayama

25 papers receiving 627 citations

Author Peers

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

Author Last Decade Papers Cites
Akiko Katayama 214 140 131 109 105 25 649
Daniel N. Lamont 315 1.5× 161 1.1× 204 1.6× 22 0.2× 70 0.7× 12 614
Matthew R. Hauwiller 458 2.1× 97 0.7× 121 0.9× 55 0.5× 94 0.9× 22 771
Baofen Ye 243 1.1× 272 1.9× 173 1.3× 21 0.2× 21 0.2× 23 749
Christian Cavelius 338 1.6× 51 0.4× 119 0.9× 49 0.4× 86 0.8× 32 793
Yingxue Zhang 248 1.2× 255 1.8× 142 1.1× 15 0.1× 32 0.3× 23 686
Leonardo D. Bonifacio 268 1.3× 333 2.4× 329 2.5× 25 0.2× 63 0.6× 13 783
Jeffrey A. Geldmeier 283 1.3× 86 0.6× 182 1.4× 34 0.3× 58 0.6× 21 777
Vinayak Rastogi 306 1.4× 98 0.7× 216 1.6× 12 0.1× 24 0.2× 20 566
Sang Hun Lee 250 1.2× 25 0.2× 287 2.2× 26 0.2× 28 0.3× 34 768
Jean‐Pierre Abid 294 1.4× 127 0.9× 166 1.3× 141 1.3× 78 0.7× 19 693

Countries citing papers authored by Akiko Katayama

Since Specialization
Citations

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

Fields of papers citing papers by Akiko Katayama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akiko Katayama

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