Alexander G. Squires

65 total papers · 648 total citations
27 papers, 412 citations indexed

About

Alexander G. Squires is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Alexander G. Squires has authored 27 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electrical and Electronic Engineering, 14 papers in Materials Chemistry and 4 papers in Biomedical Engineering. Recurrent topics in Alexander G. Squires's work include Advanced Battery Materials and Technologies (12 papers), Advancements in Battery Materials (12 papers) and Machine Learning in Materials Science (4 papers). Alexander G. Squires is often cited by papers focused on Advanced Battery Materials and Technologies (12 papers), Advancements in Battery Materials (12 papers) and Machine Learning in Materials Science (4 papers). Alexander G. Squires collaborates with scholars based in United Kingdom, United States and Germany. Alexander G. Squires's co-authors include Benjamin J. Morgan, David O. Scanlon, Samuel W. Coles, Seán R. Kavanagh, Peter G. Bruce, Gregory J. Rees, Kit McColl, M. Saiful Islam, Robert A. House and Bonan Zhu and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Nature Communications.

In The Last Decade

Alexander G. Squires

23 papers receiving 403 citations

Author Peers

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

Author						Papers	Cites
Alexander G. Squires	289	163	54	45	41	27	412
Deepak Ganta	179 0.6×	213 1.3×	29 0.5×	94 2.1×	43 1.0×	32	466
Yuxin Liu	343 1.2×	167 1.0×	38 0.7×	17 0.4×	162 4.0×	21	449
Zhencai Li	264 0.9×	284 1.7×	12 0.2×	48 1.1×	8 0.2×	32	470
Zhiyang Song	308 1.1×	89 0.5×	52 1.0×	140 3.1×	49 1.2×	20	493
Yu Chen	351 1.2×	160 1.0×	88 1.6×	29 0.6×	87 2.1×	31	483
Kaimin Chen	211 0.7×	134 0.8×	40 0.7×	34 0.8×	18 0.4×	23	380
Yaqi Zhang	336 1.2×	195 1.2×	50 0.9×	46 1.0×	43 1.0×	35	453
Tai Sun	171 0.6×	227 1.4×	33 0.6×	61 1.4×	42 1.0×	30	441
Bei Zhang	290 1.0×	80 0.5×	57 1.1×	64 1.4×	82 2.0×	38	443
Gang Yan	327 1.1×	209 1.3×	125 2.3×	18 0.4×	25 0.6×	25	460

Countries citing papers authored by Alexander G. Squires

Since Specialization

Citations

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

Fields of papers citing papers by Alexander G. Squires

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexander G. Squires. 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 Alexander G. Squires. The network helps show where Alexander G. Squires may publish in the future.

Co-authorship network of co-authors of Alexander G. Squires

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander G. Squires. A scholar is included among the top collaborators of Alexander G. Squires 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 Alexander G. Squires. Alexander G. Squires 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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