Matthew L. Evans

44 total papers · 756 total citations
15 papers, 262 citations indexed

About

Matthew L. Evans is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Matthew L. Evans has authored 15 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Materials Chemistry, 4 papers in Electrical and Electronic Engineering and 2 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Matthew L. Evans's work include Machine Learning in Materials Science (9 papers), Advancements in Battery Materials (4 papers) and Advanced Battery Materials and Technologies (3 papers). Matthew L. Evans is often cited by papers focused on Machine Learning in Materials Science (9 papers), Advancements in Battery Materials (4 papers) and Advanced Battery Materials and Technologies (3 papers). Matthew L. Evans collaborates with scholars based in United Kingdom, Belgium and United States. Matthew L. Evans's co-authors include Andrew J. Morris, J. Nelson, Lauren E. Marbella, Matthias F. Groh, Clare P. Grey, Kent J. Griffith, Matthew J. Cliffe, Gian‐Marco Rignanese, Junjie Wang and Yutong Gong and has published in prestigious journals such as Journal of the American Chemical Society, Chemical Society Reviews and Chemistry of Materials.

In The Last Decade

Matthew L. Evans

14 papers receiving 261 citations

Author Peers

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

Author						Papers	Cites
Matthew L. Evans	138	113	57	25	24	15	262
João Paulo Almeida de Mendonça	90 0.7×	241 2.1×	81 1.4×	15 0.6×	37 1.5×	24	323
Yohei Uemura	137 1.0×	209 1.8×	114 2.0×	29 1.2×	56 2.3×	11	328
Emanuel Billeter	107 0.8×	173 1.5×	34 0.6×	37 1.5×	26 1.1×	29	301
Alessandro Coretti	83 0.6×	75 0.7×	46 0.8×	38 1.5×	56 2.3×	14	233
Laura Scalfi	106 0.8×	100 0.9×	53 0.9×	39 1.6×	78 3.3×	15	313
Zaifa Shi	95 0.7×	185 1.6×	63 1.1×	18 0.7×	12 0.5×	26	258
Thomas Dufils	99 0.7×	76 0.7×	48 0.8×	33 1.3×	41 1.7×	9	277
Zhichen Pu	100 0.7×	108 1.0×	31 0.5×	12 0.5×	77 3.2×	12	283
V. Granata	96 0.7×	232 2.1×	15 0.3×	20 0.8×	32 1.3×	13	320
Giada Franceschi	63 0.5×	218 1.9×	71 1.2×	37 1.5×	28 1.2×	23	282

Countries citing papers authored by Matthew L. Evans

Since Specialization

Citations

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

Fields of papers citing papers by Matthew L. Evans

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew L. Evans. 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 Matthew L. Evans. The network helps show where Matthew L. Evans may publish in the future.

Co-authorship network of co-authors of Matthew L. Evans

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew L. Evans. A scholar is included among the top collaborators of Matthew L. Evans 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 Matthew L. Evans. Matthew L. Evans 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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