David Schmid

1.1k citations
39 papers · 514 · h-index 13

Impact in

Papers in

David Schmid

37 papers receiving 500 citations

Peers

David Schmid
Comparison fields: 5 of 61
  • History and Philosophy of Science 59
  • Atomic and Molecular Physics, and Optics 403
  • Artificial Intelligence 309
  • Statistical and Nonlinear Physics 105
  • Literature and Literary Theory 38
Replace Klaas Landsman with:
Klaas Landsman Netherlands
Alexei Grinbaum France
Friedel Weinert United Kingdom
Sandro Sozzo United Kingdom
Harry Paul Germany
David J. Baker United States
Laura Ruetsche United States
James M. Yearsley United Kingdom
Tian Yu Cao China
David Schmid relative to Klaas Landsman Netherlands Klaas Landsman's profile →
Citations per field
00.5×9.5×
Klaas Landsman · 1×
Citations per year

Countries citing papers authored by David Schmid

Since Specialization
Citations

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

Fields of papers citing papers by David Schmid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201876
2 202042
3 201839
4 202037
5 202234
6 200534
7 202323
8 201923
9 202020
10 199520
11 202219
12 202317
13 202317
14 202312
15 202410
16 202410
17 20249
18 20248
19 20237
20 20187

About David Schmid

David Schmid is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, History and Philosophy of Science, Statistical and Nonlinear Physics and Literature and Literary Theory, having authored 39 papers that have together received 514 indexed citations. Recurring topics across this work include Quantum Mechanics and Applications (24 papers), Quantum Information and Cryptography (20 papers), Quantum Computing Algorithms and Architecture (7 papers), Philosophy and History of Science (6 papers), Gothic Literature and Media Analysis (4 papers), Advanced Thermodynamics and Statistical Mechanics (4 papers), Crime, Deviance, and Social Control (4 papers) and Crime and Detective Fiction Studies (3 papers). The work is most often cited by research in History and Philosophy of Science (59 citations), Atomic and Molecular Physics, and Optics (403 citations), Artificial Intelligence (309 citations), Statistical and Nonlinear Physics (105 citations) and Literature and Literary Theory (38 citations). David Schmid has collaborated with scholars based in Canada, Poland and United States. Frequent co-authors include Robert W. Spekkens, Elie Wolfe, John H. Selby, Ana Belén Sainz, Denis Rosset, Francesco Buscemi, Ravi Kunjwal, Matthew Leifer, Matthew F. Pusey and Matty J. Hoban. Their work appears in journals such as Quantum, Physical review. A, Physical Review Letters, Optics Express and Literature film quarterly.

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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