Eric G. Rawson

60 total papers · 1.5k total citations
47 papers, 1.1k citations indexed

About

Eric G. Rawson is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Eric G. Rawson has authored 47 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Electrical and Electronic Engineering, 10 papers in Biomedical Engineering and 9 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Eric G. Rawson's work include Semiconductor Lasers and Optical Devices (17 papers), Advanced Fiber Optic Sensors (17 papers) and Photonic and Optical Devices (10 papers). Eric G. Rawson is often cited by papers focused on Semiconductor Lasers and Optical Devices (17 papers), Advanced Fiber Optic Sensors (17 papers) and Photonic and Optical Devices (10 papers). Eric G. Rawson collaborates with scholars based in United States, Canada and Japan. Eric G. Rawson's co-authors include Joseph W. Goodman, Robert Norton, Robert M. Metcalfe, C. F. Quate, B. Hadimioglu, B.T. Khuri-Yakub, Melissa D. Bailey, D. R. Herriott, J. A. McKenna and Scott Elrod and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and The Journal of the Acoustical Society of America.

In The Last Decade

Eric G. Rawson

46 papers receiving 969 citations

Author Peers

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

Author						Papers	Cites
Eric G. Rawson	666	385	221	90	80	47	1.1k
Luc Froehly	444 0.7×	572 1.5×	615 2.8×	52 0.6×	22 0.3×	56	1.2k
Michael R. Feldman	619 0.9×	154 0.4×	242 1.1×	103 1.1×	65 0.8×	62	987
Andy Lambrechts	239 0.4×	264 0.7×	165 0.7×	234 2.6×	186 2.3×	64	935
Zhengji Xu	496 0.7×	584 1.5×	560 2.5×	38 0.4×	81 1.0×	96	1.5k
Haruyoshi Toyoda	336 0.5×	381 1.0×	451 2.0×	329 3.7×	37 0.5×	79	1.0k
Johannes Herrnsdorf	1.1k 1.6×	313 0.8×	315 1.4×	53 0.6×	17 0.2×	75	1.4k
Lifa Hu	430 0.6×	491 1.3×	670 3.0×	190 2.1×	17 0.2×	135	1.2k
Philipp del Hougne	745 1.1×	366 1.0×	196 0.9×	25 0.3×	57 0.7×	67	1.4k
M.F. Tompsett	992 1.5×	427 1.1×	153 0.7×	69 0.8×	67 0.8×	51	1.2k
Zhaoliang Cao	383 0.6×	443 1.2×	507 2.3×	130 1.4×	11 0.1×	97	966

Countries citing papers authored by Eric G. Rawson

Since Specialization

Citations

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

Fields of papers citing papers by Eric G. Rawson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric G. Rawson

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