David S. Simon

956 citations
59 papers · 546 · h-index 12

Impact in

Papers in

David S. Simon

55 papers receiving 521 citations

Peers

David S. Simon
Comparison fields: 5 of 47
  • Acoustics and Ultrasonics 115
  • Atomic and Molecular Physics, and Optics 439
  • Artificial Intelligence 241
  • Biophysics 28
  • Media Technology 30
Replace Seyed Mohammad Hashemi Rafsanjani with:
Seyed Mohammad Hashemi Rafsanjani United States
Xiaoxue Yang China
Shashi Prabhakar India
Bao-Sen Shi China
Alessio D’Errico Canada
Xiaodong Qiu China
S. S. Straupe Russia
Wuhong Zhang China
Taira Giordani Italy
Adam Vallés South Africa
David S. Simon relative to Seyed Mohammad Hashemi Rafsanjani United States Seyed Mohammad Hashemi Rafsanjani's profile →
Citations per field
00.5×1.5×1.9×
Seyed Mohammad Hashemi Rafsanjani · 1×
Citations per year

Countries citing papers authored by David S. Simon

Since Specialization
Citations

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

Fields of papers citing papers by David S. Simon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David S. Simon, 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 David S. Simon Line = papers co-authored together David S. Simon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013114
2 201636
3 201136
4 201229
5 200927
6 201427
7 201326
8 201421
9 201615
10 201614
11 201412
12 201011
13 201210
14 201110
15 20119
16 20109
17 20209
18 20179
19 20127
20 20097

About David S. Simon

David S. Simon is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Electrical and Electronic Engineering, Acoustics and Ultrasonics and Biomedical Engineering, having authored 59 papers that have together received 546 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (26 papers), Orbital Angular Momentum in Optics (17 papers), Photonic and Optical Devices (12 papers), Neural Networks and Reservoir Computing (11 papers), Random lasers and scattering media (10 papers), Quantum Computing Algorithms and Architecture (8 papers), Quantum Mechanics and Applications (6 papers) and Advanced Fiber Laser Technologies (6 papers). The work is most often cited by research in Acoustics and Ultrasonics (115 citations), Atomic and Molecular Physics, and Optics (439 citations), Artificial Intelligence (241 citations), Biophysics (28 citations) and Media Technology (30 citations). David S. Simon has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Alexander V. Sergienko, Olga Minaeva, Gregg Jaeger, Néstor Uribe‐Patarroyo, Cristian Bonato, Jacob Trevino, Roman I. Egorov, Bahaa E. A. Saleh, Luca Dal Negro and Brandon Rodenburg. Their work appears in journals such as Physical review. A, Physical Review A, Optics Express, Journal of the Optical Society of America B and New Journal of Physics.

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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