Michael Daino

21 total papers · 450 total citations
12 papers, 384 citations indexed

About

Michael Daino is a scholar working on Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment and Materials Chemistry. According to data from OpenAlex, Michael Daino has authored 12 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 4 papers in Renewable Energy, Sustainability and the Environment and 4 papers in Materials Chemistry. Recurrent topics in Michael Daino's work include Fuel Cells and Related Materials (7 papers), Electrocatalysts for Energy Conversion (4 papers) and Integrated Circuits and Semiconductor Failure Analysis (3 papers). Michael Daino is often cited by papers focused on Fuel Cells and Related Materials (7 papers), Electrocatalysts for Energy Conversion (4 papers) and Integrated Circuits and Semiconductor Failure Analysis (3 papers). Michael Daino collaborates with scholars based in United States, Poland and Brazil. Michael Daino's co-authors include Satish G. Kandlikar, Zijie Lu, Cody Rath, T.Y. Lin, Dwight Cooke, Jacob M. LaManna, Jon P. Owejan, Thomas A. Trabold, Ankit Jain and Hoang Vu Nguyen and has published in prestigious journals such as Journal of Power Sources, International Journal of Hydrogen Energy and Electrochemical and Solid-State Letters.

In The Last Decade

Michael Daino

8 papers receiving 375 citations

Author Peers

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

Author						Papers	Cites
Michael Daino	363	228	113	84	52	12	384
Tao-Feng Cao	308 0.8×	246 1.1×	120 1.1×	65 0.8×	54 1.0×	9	377
Haokai Xu	215 0.6×	141 0.6×	103 0.9×	80 1.0×	27 0.5×	9	400
Daokuan Jiao	339 0.9×	196 0.9×	108 1.0×	70 0.8×	79 1.5×	21	402
Wen-Chen Chang	240 0.7×	179 0.8×	118 1.0×	159 1.9×	71 1.4×	15	437
Yunmin Liang	204 0.6×	200 0.9×	127 1.1×	131 1.6×	23 0.4×	13	436
Ali Bozorgnezhad	276 0.8×	216 0.9×	106 0.9×	86 1.0×	30 0.6×	8	391
Peter Wilde	357 1.0×	280 1.2×	112 1.0×	65 0.8×	14 0.3×	7	380
Hong-Yue Tang	310 0.9×	219 1.0×	120 1.1×	90 1.1×	16 0.3×	12	444
Mohammadreza Hasheminasab	339 0.9×	272 1.2×	127 1.1×	71 0.8×	18 0.3×	11	420
P. J. Kruger	266 0.7×	160 0.7×	151 1.3×	61 0.7×	14 0.3×	20	351

Countries citing papers authored by Michael Daino

Since Specialization

Citations

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

Fields of papers citing papers by Michael Daino

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Daino

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