Gary A. Sneiderman

68 total papers · 1.5k total citations
17 papers, 90 citations indexed

About

Gary A. Sneiderman is a scholar working on Astronomy and Astrophysics, Mechanical Engineering and Aerospace Engineering. According to data from OpenAlex, Gary A. Sneiderman has authored 17 papers receiving a total of 90 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Astronomy and Astrophysics, 12 papers in Mechanical Engineering and 5 papers in Aerospace Engineering. Recurrent topics in Gary A. Sneiderman's work include Superconducting and THz Device Technology (13 papers), Advanced Thermodynamic Systems and Engines (12 papers) and Superconducting Materials and Applications (5 papers). Gary A. Sneiderman is often cited by papers focused on Superconducting and THz Device Technology (13 papers), Advanced Thermodynamic Systems and Engines (12 papers) and Superconducting Materials and Applications (5 papers). Gary A. Sneiderman collaborates with scholars based in United States, Japan and France. Gary A. Sneiderman's co-authors include F. S. Porter, Peter Shirron, Michael DiPirro, Mark O. Kimball, Richard L. Kelley, Caroline A. Kilbourne, Ryuichi Fujimoto, Seiji Yoshida, Thomas G. Bialas and Yoh Takei and has published in prestigious journals such as Cryogenics, Journal of Astronomical Telescopes Instruments and Systems and NASA Technical Reports Server (NASA).

In The Last Decade

Gary A. Sneiderman

14 papers receiving 82 citations

Author Peers

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

Author						Papers	Cites
Gary A. Sneiderman	57	38	28	18	15	17	90
L. Piccirillo	52 0.9×	15 0.4×	13 0.5×	6 0.3×	15 1.0×	20	78
J. W. Nam	37 0.6×	22 0.6×	15 0.5×	18 1.0×	6 0.4×	16	111
Amir E. Jahromi	14 0.2×	46 1.2×	42 1.5×	29 1.6×	10 0.7×	20	107
S. W. Leman	37 0.6×	12 0.3×	9 0.3×	5 0.3×	18 1.2×	19	60
Tianyue Chen	101 1.8×	35 0.9×	15 0.5×	13 0.7×		14	240
Lucio Piccirillo	126 2.2×	14 0.4×	60 2.1×	15 0.8×	14 0.9×	26	225
Takashi Hasebe	23 0.4×	11 0.3×	9 0.3×	6 0.3×	3 0.2×	17	85
Masanao Narita	30 0.5×	27 0.7×	19 0.7×	11 0.6×		21	86
Laurence S. Foster	4 0.1×	52 1.4×	67 2.4×	19 1.1×	5 0.3×	16	216
N. Fil	14 0.2×	27 0.7×	19 0.7×	10 0.6×	3 0.2×	12	90

Countries citing papers authored by Gary A. Sneiderman

Since Specialization

Citations

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

Fields of papers citing papers by Gary A. Sneiderman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary A. Sneiderman. 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 Gary A. Sneiderman. The network helps show where Gary A. Sneiderman may publish in the future.

Co-authorship network of co-authors of Gary A. Sneiderman

This figure shows the co-authorship network connecting the top 25 collaborators of Gary A. Sneiderman. A scholar is included among the top collaborators of Gary A. Sneiderman 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 Gary A. Sneiderman. Gary A. Sneiderman 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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