Stephen M. Rowins

29 total papers · 854 total citations
15 papers, 706 citations indexed

About

Stephen M. Rowins is a scholar working on Artificial Intelligence, Geophysics and Geochemistry and Petrology. According to data from OpenAlex, Stephen M. Rowins has authored 15 papers receiving a total of 706 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Geophysics and 4 papers in Geochemistry and Petrology. Recurrent topics in Stephen M. Rowins's work include Geochemistry and Geologic Mapping (11 papers), Geological and Geochemical Analysis (10 papers) and Geochemistry and Elemental Analysis (2 papers). Stephen M. Rowins is often cited by papers focused on Geochemistry and Geologic Mapping (11 papers), Geological and Geochemical Analysis (10 papers) and Geochemistry and Elemental Analysis (2 papers). Stephen M. Rowins collaborates with scholars based in Canada, South Korea and Australia. Stephen M. Rowins's co-authors include Mao Mao, Jody Spence, L. A. Coogan, Alexei S. Rukhlov, Dante Canil, Richard M. Friedman, A. E. Lalonde, Eion M. Cameron, Neal J. McNaughton and Bruce E. Taylor and has published in prestigious journals such as Geology, Lithos and Economic Geology.

In The Last Decade

Stephen M. Rowins

14 papers receiving 680 citations

Hit Papers

Apatite Trace Element Com... 2016 2026 2019 2022 2016 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
Stephen M. Rowins 674 515 135 42 36 15 706
J. D. Webster 771 1.1× 323 0.6× 171 1.3× 48 1.1× 22 0.6× 12 822
T. A. P. Kwak 653 1.0× 451 0.9× 165 1.2× 36 0.9× 55 1.5× 24 729
Yongyong Tang 604 0.9× 405 0.8× 106 0.8× 22 0.5× 37 1.0× 28 706
Jinjie Yu 722 1.1× 524 1.0× 120 0.9× 21 0.5× 29 0.8× 30 771
J. L. Munoz 640 0.9× 310 0.6× 165 1.2× 46 1.1× 36 1.0× 15 781
Xue-Ming Yang 684 1.0× 425 0.8× 164 1.2× 26 0.6× 24 0.7× 34 750
Huaying Wu 740 1.1× 512 1.0× 126 0.9× 13 0.3× 25 0.7× 33 810
Jiancheng Xie 640 0.9× 416 0.8× 113 0.8× 19 0.5× 15 0.4× 28 675
Sylvie Costa 655 1.0× 302 0.6× 127 0.9× 18 0.4× 22 0.6× 13 683
Chenghai Zhao 649 1.0× 468 0.9× 243 1.8× 25 0.6× 49 1.4× 17 776

Countries citing papers authored by Stephen M. Rowins

Since Specialization
Citations

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

Fields of papers citing papers by Stephen M. Rowins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen M. Rowins. 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 Stephen M. Rowins. The network helps show where Stephen M. Rowins may publish in the future.

Co-authorship network of co-authors of Stephen M. Rowins

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen M. Rowins. A scholar is included among the top collaborators of Stephen M. Rowins 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 Stephen M. Rowins. Stephen M. Rowins 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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