Maki Maeda

24 total papers · 720 total citations
13 papers, 610 citations indexed

About

Maki Maeda is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Condensed Matter Physics. According to data from OpenAlex, Maki Maeda has authored 13 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Atomic and Molecular Physics, and Optics, 4 papers in Electrical and Electronic Engineering and 3 papers in Condensed Matter Physics. Recurrent topics in Maki Maeda's work include Magnetic properties of thin films (4 papers), Quantum, superfluid, helium dynamics (3 papers) and Mechanical and Optical Resonators (2 papers). Maki Maeda is often cited by papers focused on Magnetic properties of thin films (4 papers), Quantum, superfluid, helium dynamics (3 papers) and Mechanical and Optical Resonators (2 papers). Maki Maeda collaborates with scholars based in Japan and United States. Maki Maeda's co-authors include Yabing Qi, Luis K. Ono, Yan Jiang, Zafer Hawash, Emilio J. Juárez‐Pérez, Zhanhao Hu, Mikas Remeika, Síle Nic Chormaic, Viet Giang Truong and Jonathan M. Ward and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Journal of Materials Chemistry A.

In The Last Decade

Maki Maeda

13 papers receiving 595 citations

Hit Papers

Photodecomposition and th... 2018 2026 2020 2023 2018 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Maki Maeda 553 385 189 61 25 13 610
Chengbo Wang 639 1.2× 332 0.9× 327 1.7× 29 0.5× 28 1.1× 13 686
Firouzeh Ebadi 641 1.2× 364 0.9× 294 1.6× 37 0.6× 26 1.0× 12 661
M.Y. Nadeem 576 1.0× 255 0.7× 174 0.9× 19 0.3× 19 0.8× 23 633
Songman Ju 519 0.9× 364 0.9× 119 0.6× 62 1.0× 37 1.5× 16 663
Muhammad Irfan Haider 594 1.1× 327 0.8× 316 1.7× 36 0.6× 40 1.6× 20 640
Ah‐Young Lee 494 0.9× 352 0.9× 169 0.9× 34 0.6× 15 0.6× 17 588
Changshun Chen 472 0.9× 275 0.7× 229 1.2× 15 0.2× 20 0.8× 11 512
Yunfang Tong 517 0.9× 341 0.9× 123 0.7× 31 0.5× 13 0.5× 8 539
Donghoon Shin 506 0.9× 278 0.7× 267 1.4× 28 0.5× 28 1.1× 12 619
Hyosug Lee 441 0.8× 339 0.9× 73 0.4× 31 0.5× 80 3.2× 10 554

Countries citing papers authored by Maki Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Maki Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maki Maeda

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