Shawn A. Putnam

66 total papers · 1.4k total citations
50 papers, 1.1k citations indexed

About

Shawn A. Putnam is a scholar working on Computational Mechanics, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Shawn A. Putnam has authored 50 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computational Mechanics, 21 papers in Mechanical Engineering and 14 papers in Electrical and Electronic Engineering. Recurrent topics in Shawn A. Putnam's work include Surface Modification and Superhydrophobicity (12 papers), Heat Transfer Mechanisms (12 papers) and Heat Transfer and Optimization (11 papers). Shawn A. Putnam is often cited by papers focused on Surface Modification and Superhydrophobicity (12 papers), Heat Transfer Mechanisms (12 papers) and Heat Transfer and Optimization (11 papers). Shawn A. Putnam collaborates with scholars based in United States, United Kingdom and Israel. Shawn A. Putnam's co-authors include David G. Cahill, Robert G. Shimmin, Zhenbin Ge, Paul V. Braun, Gerard C. L. Wong, Jamie S. Ervin, Alejandro M. Briones, Larry W. Byrd, Benjamin J. Ash and Linda S. Schadler and has published in prestigious journals such as ACS Nano, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Shawn A. Putnam

48 papers receiving 1.1k citations

Author Peers

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

Author						Papers	Cites
Shawn A. Putnam	546	467	341	285	184	50	1.1k
Han Hu	257 0.5×	328 0.7×	434 1.3×	238 0.8×	243 1.3×	66	1.0k
BoHung Kim	183 0.3×	671 1.4×	262 0.8×	162 0.6×	676 3.7×	50	1.2k
Bladimir Ramos-Alvarado	140 0.3×	405 0.9×	417 1.2×	376 1.3×	463 2.5×	55	1.2k
Xingkun Man	201 0.4×	389 0.8×	70 0.2×	375 1.3×	414 2.3×	51	1.1k
A. Steinchen	344 0.6×	288 0.6×	118 0.3×	411 1.4×	179 1.0×	54	937
Joëlle Fréchette	147 0.3×	525 1.1×	190 0.6×	433 1.5×	356 1.9×	65	1.4k
John A. Tallmadge	610 1.1×	259 0.6×	241 0.7×	117 0.4×	148 0.8×	67	1.1k
Namkyu Lee	267 0.5×	148 0.3×	373 1.1×	110 0.4×	109 0.6×	49	1.2k
W. J. Xie	211 0.4×	882 1.9×	202 0.6×	393 1.4×	262 1.4×	59	1.3k
Gaojin Li	271 0.5×	471 1.0×	143 0.4×	544 1.9×	90 0.5×	39	1.3k

Countries citing papers authored by Shawn A. Putnam

Since Specialization

Citations

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

Fields of papers citing papers by Shawn A. Putnam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shawn A. Putnam. 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 Shawn A. Putnam. The network helps show where Shawn A. Putnam may publish in the future.

Co-authorship network of co-authors of Shawn A. Putnam

This figure shows the co-authorship network connecting the top 25 collaborators of Shawn A. Putnam. A scholar is included among the top collaborators of Shawn A. Putnam 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 Shawn A. Putnam. Shawn A. Putnam 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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