David G. Sandler

110 total papers · 918 total citations
51 papers, 588 citations indexed

About

David G. Sandler is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, David G. Sandler has authored 51 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Atomic and Molecular Physics, and Optics, 26 papers in Electrical and Electronic Engineering and 21 papers in Biomedical Engineering. Recurrent topics in David G. Sandler's work include Adaptive optics and wavefront sensing (39 papers), Optical Systems and Laser Technology (26 papers) and Advanced optical system design (17 papers). David G. Sandler is often cited by papers focused on Adaptive optics and wavefront sensing (39 papers), Optical Systems and Laser Technology (26 papers) and Advanced optical system design (17 papers). David G. Sandler collaborates with scholars based in United States, Italy and Germany. David G. Sandler's co-authors include J. R. P. Angel, Michael Lloyd‐Hart, S. Stahl, Peter Wizinowich, Donald McCarthy, Robert Q. Fugate, S. E. Koonin, J. W. Clark, J. W. Clark and William A. Fowler and has published in prestigious journals such as Nature, The Astrophysical Journal and Physics Letters B.

In The Last Decade

David G. Sandler

47 papers receiving 523 citations

Author Peers

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

Author						Papers	Cites
David G. Sandler	411	226	180	156	68	51	588
Johanan L. Codona	368 0.9×	130 0.6×	139 0.8×	284 1.8×	62 0.9×	51	582
E. E. Bloemhof	322 0.8×	143 0.6×	122 0.7×	313 2.0×	106 1.6×	66	556
C. G. Wynne	254 0.6×	134 0.6×	280 1.6×	132 0.8×	55 0.8×	64	572
Richard G. Lyon	287 0.7×	79 0.3×	74 0.4×	264 1.7×	111 1.6×	64	529
Johann Kolb	337 0.8×	202 0.9×	150 0.8×	229 1.5×	36 0.5×	72	534
James W. Beletic	244 0.6×	391 1.7×	94 0.5×	237 1.5×	23 0.3×	65	690
Timo T. Saha	246 0.6×	112 0.5×	143 0.8×	362 2.3×	62 0.9×	111	650
Roberto Biasi	571 1.4×	386 1.7×	271 1.5×	160 1.0×	64 0.9×	78	661
Jerry E. Nelson	528 1.3×	306 1.4×	259 1.4×	164 1.1×	177 2.6×	41	668
Torben Andersen	308 0.7×	160 0.7×	235 1.3×	67 0.4×	70 1.0×	93	496

Countries citing papers authored by David G. Sandler

Since Specialization

Citations

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

Fields of papers citing papers by David G. Sandler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David G. Sandler

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