Greg K. Pribil

22 total papers · 578 total citations
18 papers, 451 citations indexed

About

Greg K. Pribil is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Surfaces, Coatings and Films. According to data from OpenAlex, Greg K. Pribil has authored 18 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 8 papers in Biomedical Engineering and 5 papers in Surfaces, Coatings and Films. Recurrent topics in Greg K. Pribil's work include Optical Coatings and Gratings (5 papers), Surface Roughness and Optical Measurements (4 papers) and Scientific Measurement and Uncertainty Evaluation (3 papers). Greg K. Pribil is often cited by papers focused on Optical Coatings and Gratings (5 papers), Surface Roughness and Optical Measurements (4 papers) and Scientific Measurement and Uncertainty Evaluation (3 papers). Greg K. Pribil collaborates with scholars based in United States and Sweden. Greg K. Pribil's co-authors include R. A. Synowicki, Craig M. Herzinger, M. D. Ediger, A. Sepúlveda, Blaine Johs, John A. Woollam, Shakeel S. Dalal, Zahra Fakhraai, Jianing Sun and James N. Hilfiker and has published in prestigious journals such as Advanced Materials, The Journal of Chemical Physics and ACS Nano.

In The Last Decade

Greg K. Pribil

18 papers receiving 428 citations

Author Peers

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

Author						Papers	Cites
Greg K. Pribil	207	196	149	141	90	18	451
Michael Kiene	128 0.6×	194 1.0×	116 0.8×	190 1.3×	62 0.7×	17	443
S. Ponoth	126 0.6×	274 1.4×	157 1.1×	142 1.0×	65 0.7×	29	496
S. A. Nepijko	112 0.5×	210 1.1×	102 0.7×	246 1.7×	168 1.9×	27	547
M.M. Wind	233 1.1×	131 0.7×	165 1.1×	129 0.9×	143 1.6×	16	507
Suresh Donthu	130 0.6×	171 0.9×	67 0.4×	237 1.7×	109 1.2×	16	411
Daniel W. Thompson	148 0.7×	259 1.3×	95 0.6×	219 1.6×	166 1.8×	31	538
K. Usami	93 0.4×	180 0.9×	125 0.8×	232 1.6×	110 1.2×	18	457
M. C. Peignon	129 0.6×	362 1.8×	71 0.5×	186 1.3×	43 0.5×	16	531
I. M. Loader	121 0.6×	203 1.0×	81 0.5×	213 1.5×	82 0.9×	12	467
Naoto Nagai	112 0.5×	281 1.4×	51 0.3×	101 0.7×	112 1.2×	29	460

Countries citing papers authored by Greg K. Pribil

Since Specialization

Citations

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

Fields of papers citing papers by Greg K. Pribil

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Greg K. Pribil. 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 Greg K. Pribil. The network helps show where Greg K. Pribil may publish in the future.

Co-authorship network of co-authors of Greg K. Pribil

This figure shows the co-authorship network connecting the top 25 collaborators of Greg K. Pribil. A scholar is included among the top collaborators of Greg K. Pribil 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 Greg K. Pribil. Greg K. Pribil 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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