Mark G. Shumsky

35 total papers · 1.7k total citations
28 papers, 1.5k citations indexed

About

Mark G. Shumsky is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Condensed Matter Physics. According to data from OpenAlex, Mark G. Shumsky has authored 28 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Materials Chemistry, 12 papers in Electrical and Electronic Engineering and 6 papers in Condensed Matter Physics. Recurrent topics in Mark G. Shumsky's work include Copper-based nanomaterials and applications (9 papers), Electronic and Structural Properties of Oxides (8 papers) and ZnO doping and properties (7 papers). Mark G. Shumsky is often cited by papers focused on Copper-based nanomaterials and applications (9 papers), Electronic and Structural Properties of Oxides (8 papers) and ZnO doping and properties (7 papers). Mark G. Shumsky collaborates with scholars based in United States, Israel and Nigeria. Mark G. Shumsky's co-authors include Jay A. Switzer, Eric W. Bohannan, Teresa D. Golden, Yanchun Zhou, Robert A. Van Leeuwen, Chen‐Jen Hung, Mohamed N. Rahaman, Emin Çiftçi, Alexey Vertegel and W. B. Yelon and has published in prestigious journals such as Science, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Mark G. Shumsky

27 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Mark G. Shumsky 1.2k 594 213 150 147 28 1.5k
Nitin Bagkar 927 0.8× 567 1.0× 144 0.7× 76 0.5× 63 0.4× 29 1.3k
Maxime J.‐F. Guinel 1.0k 0.8× 550 0.9× 359 1.7× 48 0.3× 77 0.5× 55 1.6k
Min Wu 973 0.8× 520 0.9× 467 2.2× 94 0.6× 47 0.3× 35 1.4k
N. Nicoloso 749 0.6× 497 0.8× 147 0.7× 139 0.9× 35 0.2× 44 1.3k
T. Seeger 1.5k 1.2× 643 1.1× 177 0.8× 84 0.6× 79 0.5× 24 2.1k
Hans‐Joachim Kleebe 640 0.5× 612 1.0× 364 1.7× 323 2.2× 86 0.6× 34 1.2k
Weiming Guan 1.1k 0.9× 365 0.6× 185 0.9× 59 0.4× 36 0.2× 40 1.5k
Yourong Tao 968 0.8× 760 1.3× 366 1.7× 40 0.3× 47 0.3× 48 1.4k
A. Brunet‐Bruneau 1.5k 1.3× 412 0.7× 449 2.1× 62 0.4× 29 0.2× 28 2.0k
Claude Guéry 719 0.6× 1.2k 2.0× 140 0.7× 72 0.5× 71 0.5× 47 1.5k

Countries citing papers authored by Mark G. Shumsky

Since Specialization
Citations

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

Fields of papers citing papers by Mark G. Shumsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark G. Shumsky

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