David M. Aikens

58 total papers · 417 total citations
25 papers, 285 citations indexed

About

David M. Aikens is a scholar working on Computational Mechanics, Electrical and Electronic Engineering and Mechanical Engineering. According to data from OpenAlex, David M. Aikens has authored 25 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computational Mechanics, 9 papers in Electrical and Electronic Engineering and 8 papers in Mechanical Engineering. Recurrent topics in David M. Aikens's work include Surface Roughness and Optical Measurements (13 papers), Advanced Measurement and Metrology Techniques (8 papers) and Optical Systems and Laser Technology (6 papers). David M. Aikens is often cited by papers focused on Surface Roughness and Optical Measurements (13 papers), Advanced Measurement and Metrology Techniques (8 papers) and Optical Systems and Laser Technology (6 papers). David M. Aikens collaborates with scholars based in United States, France and Australia. David M. Aikens's co-authors include Janice K. Lawson, Richard N. Youngworth, André Roussel, K. R. Manes, John B. Trenholme, John S. Taylor, W. R. Young, David L. King, Justin R. Crepp and Christian Schwab and has published in prestigious journals such as Optical Engineering, OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) and SPIE eBooks.

In The Last Decade

David M. Aikens

21 papers receiving 249 citations

Author Peers

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

Author						Papers	Cites
David M. Aikens	168	144	122	67	66	25	285
Ryohei Hanayama	112 0.7×	37 0.3×	159 1.3×	151 2.3×	35 0.5×	28	270
Andreas Nickel	165 1.0×	223 1.5×	72 0.6×	29 0.4×	118 1.8×	15	318
Donglin Xue	80 0.5×	191 1.3×	141 1.2×	61 0.9×	92 1.4×	35	323
Thomas Fricke-Begemann	138 0.8×	112 0.8×	52 0.4×	120 1.8×	63 1.0×	25	304
Yijun Jiang	34 0.2×	77 0.5×	68 0.6×	28 0.4×	32 0.5×	20	302
A. Conder	144 0.9×	98 0.7×	16 0.1×	25 0.4×	81 1.2×	19	284
Christoph Damm	78 0.5×	167 1.2×	74 0.6×	32 0.5×	60 0.9×	32	260
Xiaozheng Xing	57 0.3×	73 0.5×	119 1.0×	57 0.9×	75 1.1×	28	244
Abdallah Hamed	70 0.4×	70 0.5×	50 0.4×	76 1.1×	31 0.5×	44	208
W Giardini	67 0.4×	68 0.5×	125 1.0×	38 0.6×	25 0.4×	21	309

Countries citing papers authored by David M. Aikens

Since Specialization

Citations

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

Fields of papers citing papers by David M. Aikens

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David M. Aikens

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