Michael S. Sellers

36 total papers · 440 total citations
22 papers, 377 citations indexed

About

Michael S. Sellers is a scholar working on Materials Chemistry, Molecular Biology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Michael S. Sellers has authored 22 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Materials Chemistry, 8 papers in Molecular Biology and 5 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Michael S. Sellers's work include Protein Structure and Dynamics (6 papers), Microstructure and mechanical properties (5 papers) and Electronic Packaging and Soldering Technologies (4 papers). Michael S. Sellers is often cited by papers focused on Protein Structure and Dynamics (6 papers), Microstructure and mechanical properties (5 papers) and Electronic Packaging and Soldering Technologies (4 papers). Michael S. Sellers collaborates with scholars based in United States, Czechia and Canada. Michael S. Sellers's co-authors include David A. Kofke, Andrew J. Schultz, Cemal Basaran, John K. Brennan, Martin Lı́sal, Jeffrey R. Errington, Steven K. Salzman, Sergei Izvekov, DeCarlos E. Taylor and Joshua D. Moore and has published in prestigious journals such as The Journal of Chemical Physics, Journal of Applied Physics and Physical Review B.

In The Last Decade

Michael S. Sellers

22 papers receiving 370 citations

Author Peers

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

Author						Papers	Cites
Michael S. Sellers	175	123	73	71	62	22	377
Thomas Hahn	171 1.0×	104 0.8×	55 0.8×	122 1.7×	48 0.8×	19	358
David T. Shaw	195 1.1×	129 1.0×	64 0.9×	31 0.4×	97 1.6×	25	439
R. H. J. Fastenau	269 1.5×	81 0.7×	45 0.6×	86 1.2×	49 0.8×	22	420
Karthik Guda Vishnu	287 1.6×	56 0.5×	61 0.8×	123 1.7×	33 0.5×	16	393
Min Yan	218 1.2×	55 0.4×	20 0.3×	152 2.1×	79 1.3×	22	408
Rajarshi Bhattacharyya	182 1.0×	105 0.9×	80 1.1×	24 0.3×	30 0.5×	28	355
Adam Łapicki	184 1.1×	89 0.7×	33 0.5×	42 0.6×	71 1.1×	23	429
Gopinath Subramanian	227 1.3×	38 0.3×	47 0.6×	60 0.8×	70 1.1×	27	436
J. Thewlis	186 1.1×	61 0.5×	30 0.4×	52 0.7×	30 0.5×	21	362
V. T. Deshpande	285 1.6×	96 0.8×	38 0.5×	118 1.7×	22 0.4×	27	416

Countries citing papers authored by Michael S. Sellers

Since Specialization

Citations

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

Fields of papers citing papers by Michael S. Sellers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael S. Sellers

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