Mike Davies

59 total papers · 5.3k total citations
31 papers, 932 citations indexed

About

Mike Davies is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Mike Davies has authored 31 papers receiving a total of 932 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 11 papers in Artificial Intelligence and 7 papers in Computational Mechanics. Recurrent topics in Mike Davies's work include Advanced Memory and Neural Computing (14 papers), Ferroelectric and Negative Capacitance Devices (11 papers) and Sparse and Compressive Sensing Techniques (7 papers). Mike Davies is often cited by papers focused on Advanced Memory and Neural Computing (14 papers), Ferroelectric and Negative Capacitance Devices (11 papers) and Sparse and Compressive Sensing Techniques (7 papers). Mike Davies collaborates with scholars based in United States, United Kingdom and Switzerland. Mike Davies's co-authors include Andreas Wild, Prasad Joshi, Garrick Orchard, Yulia Sandamirskaya, Sumedh R. Risbud, G. A. Fonseca Guerra, John Thompson, Gautham N. Chinya, Chit-Kwan Lin and Yves Wiaux and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The Science of The Total Environment.

In The Last Decade

Mike Davies

30 papers receiving 911 citations

Hit Papers

Advancing Neuromorphic Co... 2021 2026 2022 2024 2021 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Mike Davies 592 297 248 132 129 31 932
Yuning Yang 210 0.4× 105 0.4× 119 0.5× 105 0.8× 231 1.8× 58 1.1k
Lior Horesh 494 0.8× 162 0.5× 64 0.3× 49 0.4× 99 0.8× 62 1.1k
Alister Hamilton 484 0.8× 199 0.7× 160 0.6× 147 1.1× 23 0.2× 72 812
Chetan Singh Thakur 587 1.0× 166 0.6× 164 0.7× 124 0.9× 28 0.2× 73 845
J. Kowalski 214 0.4× 353 1.2× 85 0.3× 52 0.4× 36 0.3× 58 1.1k
Jingtao Fan 484 0.8× 504 1.7× 39 0.2× 50 0.4× 77 0.6× 31 1.2k
Jun Zhang 181 0.3× 60 0.2× 170 0.7× 60 0.5× 343 2.7× 60 805
Sanggyun Kim 294 0.5× 65 0.2× 250 1.0× 122 0.9× 36 0.3× 39 865
J.G. Harris 333 0.6× 164 0.6× 252 1.0× 207 1.6× 80 0.6× 70 1.1k
Sina Balkır 577 1.0× 127 0.4× 32 0.1× 39 0.3× 46 0.4× 81 895

Countries citing papers authored by Mike Davies

Since Specialization
Citations

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

Fields of papers citing papers by Mike Davies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mike Davies

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