Susan D. Allen

192 total papers · 2.2k total citations
127 papers, 1.6k citations indexed

About

Susan D. Allen is a scholar working on Computational Mechanics, Mechanics of Materials and Electrical and Electronic Engineering. According to data from OpenAlex, Susan D. Allen has authored 127 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Computational Mechanics, 53 papers in Mechanics of Materials and 41 papers in Electrical and Electronic Engineering. Recurrent topics in Susan D. Allen's work include Laser Material Processing Techniques (46 papers), Laser-induced spectroscopy and plasma (38 papers) and Laser-Ablation Synthesis of Nanoparticles (18 papers). Susan D. Allen is often cited by papers focused on Laser Material Processing Techniques (46 papers), Laser-induced spectroscopy and plasma (38 papers) and Laser-Ablation Synthesis of Nanoparticles (18 papers). Susan D. Allen collaborates with scholars based in United States, Brazil and Russia. Susan D. Allen's co-authors include S. I. Kudryashov, E. Garmire, John H. Marburger, O. Schnepp, T. E. F. M. Standaert, G. S. Oehrlein, P. J. Matsuo, T. Dalton, Herbert G. Winful and Dennis K. Killinger and has published in prestigious journals such as The Journal of Chemical Physics, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Susan D. Allen

121 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
Susan D. Allen 634 597 502 477 393 127 1.6k
F. Fuso 387 0.6× 373 0.6× 456 0.9× 534 1.1× 684 1.7× 141 1.9k
Alexander V. Bulgakov 970 1.5× 1.1k 1.9× 336 0.7× 581 1.2× 439 1.1× 87 2.0k
Arthur H. Guenther 577 0.9× 564 0.9× 973 1.9× 457 1.0× 746 1.9× 137 2.2k
Nan Zhang 445 0.7× 414 0.7× 275 0.5× 344 0.7× 465 1.2× 131 1.4k
S. V. Garnov 490 0.8× 376 0.6× 707 1.4× 447 0.9× 751 1.9× 135 1.7k
D. V. Sinitsyn 855 1.3× 677 1.1× 636 1.3× 474 1.0× 587 1.5× 167 1.9k
R. K. Thareja 388 0.6× 1.2k 2.0× 502 1.0× 283 0.6× 600 1.5× 104 2.1k
A. Perrone 408 0.6× 1.1k 1.9× 700 1.4× 338 0.7× 359 0.9× 149 2.1k
P. Prem Kiran 186 0.3× 493 0.8× 207 0.4× 430 0.9× 377 1.0× 92 1.4k
Tatsuo Okada 426 0.7× 624 1.0× 879 1.8× 457 1.0× 508 1.3× 148 1.9k

Countries citing papers authored by Susan D. Allen

Since Specialization
Citations

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

Fields of papers citing papers by Susan D. Allen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan D. Allen. 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 Susan D. Allen. The network helps show where Susan D. Allen may publish in the future.

Co-authorship network of co-authors of Susan D. Allen

This figure shows the co-authorship network connecting the top 25 collaborators of Susan D. Allen. A scholar is included among the top collaborators of Susan D. Allen 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 Susan D. Allen. Susan D. Allen 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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