Samuel Stein

1.2k citations
63 papers · 766 · h-index 16

Impact in

Papers in

Samuel Stein

61 papers receiving 693 citations

Peers

Samuel Stein
Comparison fields: 5 of 74
  • Atomic and Molecular Physics, and Optics 445
  • Statistics, Probability and Uncertainty 47
  • Electrical and Electronic Engineering 303
  • Artificial Intelligence 168
  • Hardware and Architecture 29
Replace R. L. Sydnor with:
R. L. Sydnor United States
G. M. R. Winkler United States
D.J. Healey United States
T. E. Mcgunigal United States
David A. Howe United States
Z. Fang United States
J. Rutman France
Jeff Sherman United States
D.B. Leeson United States
Giorgio Fontana Italy
Samuel Stein relative to R. L. Sydnor United States R. L. Sydnor's profile →
Citations per field
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R. L. Sydnor · 1×
Citations per year

Countries citing papers authored by Samuel Stein

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Stein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel Stein. 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 Samuel Stein. The network helps show where Samuel Stein may publish in the future.

Co-authors

The 25 scholars most cited alongside Samuel Stein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Samuel Stein Line = papers co-authored together Samuel Stein links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202282
2 200551
3 197648
4 197545
5 200237
6 198333
7 197931
8 200330
9 202229
10 197327
11 201023
12 199923
13 199819
14 197719
15 197218
16 200317
17 197815
18 198214
19 197514
20 198013

About Samuel Stein

Samuel Stein is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Electrical and Electronic Engineering, Ocean Engineering and Aerospace Engineering, having authored 63 papers that have together received 766 indexed citations. Recurring topics across this work include Advanced Frequency and Time Standards (32 papers), Quantum Computing Algorithms and Architecture (13 papers), Quantum Information and Cryptography (11 papers), Geophysics and Sensor Technology (10 papers), Advanced Electrical Measurement Techniques (6 papers), Semiconductor Lasers and Optical Devices (5 papers), Particle accelerators and beam dynamics (5 papers) and Atomic and Subatomic Physics Research (4 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (445 citations), Statistics, Probability and Uncertainty (47 citations), Electrical and Electronic Engineering (303 citations), Artificial Intelligence (168 citations) and Hardware and Architecture (29 citations). Samuel Stein has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include J. P. Turneaure, Ang Li, F.L. Walls, James Ang, D.J. Glaze, James E. Gray, R.L. Filler, F. Strumia, J.R. Vig and Judah Levine. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, International Journal of Eating Disorders, Quantum Science and Technology, Cryogenics and Optics Letters.

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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