Emily M. Peterman

60 total papers · 921 total citations
23 papers, 720 citations indexed

About

Emily M. Peterman is a scholar working on Geophysics, Atmospheric Science and Artificial Intelligence. According to data from OpenAlex, Emily M. Peterman has authored 23 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Geophysics, 5 papers in Atmospheric Science and 4 papers in Artificial Intelligence. Recurrent topics in Emily M. Peterman's work include Geological and Geochemical Analysis (17 papers), earthquake and tectonic studies (12 papers) and High-pressure geophysics and materials (7 papers). Emily M. Peterman is often cited by papers focused on Geological and Geochemical Analysis (17 papers), earthquake and tectonic studies (12 papers) and High-pressure geophysics and materials (7 papers). Emily M. Peterman collaborates with scholars based in United States, Australia and Norway. Emily M. Peterman's co-authors include Bradley R. Hacker, Andrew Kylander‐Clark, Emily O. Walsh, Torgeir B. Andersen, Scott M. Johnston, D. J. Young, Denis Fougerouse, Steven M. Reddy, David W. Saxey and William D.A. Rickard and has published in prestigious journals such as Science, Earth and Planetary Science Letters and Science Advances.

In The Last Decade

Emily M. Peterman

23 papers receiving 712 citations

Author Peers

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

Author Last Decade Papers Cites
Emily M. Peterman 536 158 96 71 56 23 720
C. R. Knowles 310 0.6× 153 1.0× 116 1.2× 101 1.4× 90 1.6× 34 739
Bjørn Eske Sørensen 435 0.8× 145 0.9× 74 0.8× 89 1.3× 114 2.0× 43 818
B. A. Grguric 462 0.9× 273 1.7× 118 1.2× 113 1.6× 54 1.0× 21 671
Niranjan D. Chatterjee 486 0.9× 77 0.5× 73 0.8× 142 2.0× 43 0.8× 34 740
Christiane Wagner 468 0.9× 156 1.0× 67 0.7× 37 0.5× 34 0.6× 32 740
O. Legendre 553 1.0× 273 1.7× 84 0.9× 36 0.5× 85 1.5× 14 763
Charles S. Oakes 244 0.5× 124 0.8× 142 1.5× 102 1.4× 55 1.0× 22 683
Kula C. Misra 623 1.2× 325 2.1× 91 0.9× 46 0.6× 71 1.3× 24 828
Marion Louvel 351 0.7× 99 0.6× 84 0.9× 99 1.4× 57 1.0× 28 665
John L. Haas 515 1.0× 275 1.7× 57 0.6× 117 1.6× 74 1.3× 23 810

Countries citing papers authored by Emily M. Peterman

Since Specialization
Citations

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

Fields of papers citing papers by Emily M. Peterman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emily M. Peterman

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