Phillip J. Nash

23 total papers · 908 total citations
20 papers, 725 citations indexed

About

Phillip J. Nash is a scholar working on Electrical and Electronic Engineering, Ocean Engineering and Oceanography. According to data from OpenAlex, Phillip J. Nash has authored 20 papers receiving a total of 725 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electrical and Electronic Engineering, 7 papers in Ocean Engineering and 3 papers in Oceanography. Recurrent topics in Phillip J. Nash's work include Advanced Fiber Optic Sensors (12 papers), Underwater Vehicles and Communication Systems (6 papers) and Optical Wireless Communication Technologies (5 papers). Phillip J. Nash is often cited by papers focused on Advanced Fiber Optic Sensors (12 papers), Underwater Vehicles and Communication Systems (6 papers) and Optical Wireless Communication Technologies (5 papers). Phillip J. Nash collaborates with scholars based in United Kingdom, United States and Italy. Phillip J. Nash's co-authors include Geoffrey A. Cranch, Clay K. Kirkendall, David J. Hill, David A. Leigh, Jenny K. Y. Wong, Emilio M. Pérez, Giovanni Bottari, Francesco Zerbetto, François Dehez and I. Bennion and has published in prestigious journals such as Angewandte Chemie International Edition, The Journal of the Acoustical Society of America and Journal of Lightwave Technology.

In The Last Decade

Phillip J. Nash

20 papers receiving 681 citations

Author Peers

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

Author						Papers	Cites
Phillip J. Nash	553	213	123	101	75	20	725
René Schödel	161 0.3×	346 1.6×	15 0.1×	8 0.1×	73 1.0×	42	849
Geoffrey A. Barrall	118 0.2×	93 0.4×	14 0.1×	36 0.4×	349 4.7×	33	739
Feng Xu	520 0.9×	390 1.8×	6 0.0×	20 0.2×	32 0.4×	27	826
R.R. da Silva	165 0.3×	294 1.4×	60 0.5×	46 0.5×	5 0.1×	34	835
J. Chen	438 0.8×	50 0.2×	78 0.6×	18 0.2×	15 0.2×	21	775
Byung Jun Yoon	138 0.2×	139 0.7×	26 0.2×	16 0.2×	38 0.5×	26	668
Tsutomu Ogawa	279 0.5×	80 0.4×	6 0.0×	59 0.6×	26 0.3×	51	700
Kunj Tandon	413 0.7×	75 0.4×	20 0.2×	83 0.8×	5 0.1×	9	651
Xin Fu	784 1.4×	363 1.7×	4 0.0×	18 0.2×	38 0.5×	29	848
A. Rakitin	293 0.5×	196 0.9×	27 0.2×	46 0.5×	11 0.1×	21	799

Countries citing papers authored by Phillip J. Nash

Since Specialization

Citations

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

Fields of papers citing papers by Phillip J. Nash

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phillip J. Nash. 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 Phillip J. Nash. The network helps show where Phillip J. Nash may publish in the future.

Co-authorship network of co-authors of Phillip J. Nash

This figure shows the co-authorship network connecting the top 25 collaborators of Phillip J. Nash. A scholar is included among the top collaborators of Phillip J. Nash 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 Phillip J. Nash. Phillip J. Nash 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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