David T. Stephen

564 citations
25 papers · 333 · h-index 10

Impact in

Papers in

David T. Stephen

23 papers receiving 325 citations

Peers

David T. Stephen
Comparison fields: 5 of 20
  • Atomic and Molecular Physics, and Optics 301
  • Artificial Intelligence 169
  • Condensed Matter Physics 58
  • Geometry and Topology 34
  • Computational Mathematics 2
Replace Henrik Dreyer with:
Henrik Dreyer Germany
Kasper Duivenvoorden Germany
Duan-Lu Zhou China
Abhishodh Prakash United States
Anton S. Buyskikh United Kingdom
Anthony Ransford United States
Layla Hormozi United States
Bhuvanesh Sundar United States
Vittorio Vitale Italy
Colin Rylands Italy
David T. Stephen relative to Henrik Dreyer Germany Henrik Dreyer's profile →
Citations per field
00.5×5.5×
Henrik Dreyer · 1×
Citations per year

Countries citing papers authored by David T. Stephen

Since Specialization
Citations

This map shows the geographic impact of David T. Stephen'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 T. Stephen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David T. Stephen more than expected).

Fields of papers citing papers by David T. Stephen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201963
2 201763
3 201738
4 202031
5 202426
6 201719
7 202418
8 202417
9 201916
10 202010
11 20255
12 20235
13 20244
14 20254
15 20243
16 20243
17 20172
18 20251
19 20251
20 20251

About David T. Stephen

David T. Stephen is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Condensed Matter Physics, Geometry and Topology and Computational Theory and Mathematics, having authored 25 papers that have together received 333 indexed citations. Recurring topics across this work include Quantum many-body systems (17 papers), Quantum Computing Algorithms and Architecture (10 papers), Quantum Information and Cryptography (9 papers), Quantum and electron transport phenomena (9 papers), Topological Materials and Phenomena (7 papers), Advanced Condensed Matter Physics (4 papers), Physics of Superconductivity and Magnetism (4 papers) and Algebraic structures and combinatorial models (2 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (301 citations), Artificial Intelligence (169 citations), Condensed Matter Physics (58 citations), Geometry and Topology (34 citations) and Computational Mathematics (2 citations). David T. Stephen has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Robert Raussendorf, Dongsheng Wang, Tzu-Chieh Wei, Abhishodh Prakash, Hendrik Poulsen Nautrup, Arpit Dua, Cihan Okay, Dominic J. Williamson, Rahul Nandkishore and Norbert Schuch. Their work appears in journals such as Physical Review Letters, Physical review. B., PRX Quantum, SciPost Physics and Physical review. A.

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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