David J. Niles

80 total papers · 1.2k total citations
36 papers, 907 citations indexed

About

David J. Niles is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, David J. Niles has authored 36 papers receiving a total of 907 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Materials Chemistry, 13 papers in Atomic and Molecular Physics, and Optics and 12 papers in Electrical and Electronic Engineering. Recurrent topics in David J. Niles's work include Chalcogenide Semiconductor Thin Films (10 papers), Quantum Dots Synthesis And Properties (8 papers) and Semiconductor materials and interfaces (7 papers). David J. Niles is often cited by papers focused on Chalcogenide Semiconductor Thin Films (10 papers), Quantum Dots Synthesis And Properties (8 papers) and Semiconductor materials and interfaces (7 papers). David J. Niles collaborates with scholars based in United States, France and Germany. David J. Niles's co-authors include Sean B. Fain, Jeremy W. Gordon, R. Noufi, P. Sheldon, T. A. Gessert, Miguel Á. Contreras, Joshua M. Lang, John R. Tuttle, A. Tennant and A. B. Swartzlander and has published in prestigious journals such as Journal of Applied Physics, Radiology and Kidney International.

In The Last Decade

David J. Niles

36 papers receiving 887 citations

Author Peers

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

Author						Papers	Cites
David J. Niles	337	328	222	200	135	36	907
A. Hoekstra	305 0.9×	137 0.4×	113 0.5×	67 0.3×	47 0.3×	32	941
Yoshihisa Yamaoka	232 0.7×	159 0.5×	102 0.5×	86 0.4×	121 0.9×	66	1.1k
Maaike T.W. Milder	317 0.9×	211 0.6×	260 1.2×	93 0.5×	104 0.8×	33	721
Serdar Özçelik	417 1.2×	170 0.5×	239 1.1×	43 0.2×	58 0.4×	49	942
Maximilian Koch	107 0.3×	265 0.8×	256 1.2×	241 1.2×	205 1.5×	47	893
James G. Carter	68 0.2×	161 0.5×	245 1.1×	104 0.5×	32 0.2×	37	870
Katsushi Hashimoto	157 0.5×	203 0.6×	576 2.6×	52 0.3×	115 0.9×	56	1.0k
Kenichiro Okumura	73 0.2×	109 0.3×	118 0.5×	159 0.8×	130 1.0×	46	976
Eduardo Aluicio‐Sarduy	166 0.5×	167 0.5×	68 0.3×	500 2.5×	236 1.7×	70	997
Sebastián A. Thompson	406 1.2×	118 0.4×	98 0.4×	46 0.2×	144 1.1×	26	862

Countries citing papers authored by David J. Niles

Since Specialization

Citations

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

Fields of papers citing papers by David J. Niles

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David J. Niles

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