James Stokes

39 papers receiving 603 citations

James Stokes's Hit Papers

Quantum Natural Gradient 2020 · 266 citations
2660+2+4Years since publication50100150200250

Peers

James Stokes
Comparison fields: 5 of 108
  • Computational Mathematics 12
  • Artificial Intelligence 298
  • Atomic and Molecular Physics, and Optics 224
  • Nephrology 28
  • Condensed Matter Physics 42
Replace Andrew J. Keller with:
Andrew J. Keller United States
K. Ellinger Germany
Zhenyu Yang China
Jason Morton United States
Carlo D. Franco United Kingdom
S. B. Cavalcanti Brazil
Thomas J. Elliott United Kingdom
Mark D. Price United States
Michele Virgilio Italy
John H. Selby Poland
James Stokes relative to Andrew J. Keller United States Andrew J. Keller's profile →
Citations per field
00.5×2.5×
Andrew J. Keller · 1×
Citations per year

Countries citing papers authored by James Stokes

Since Specialization
Citations

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

Fields of papers citing papers by James Stokes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Quantum Natural Gradient
Hit paper breakdown →
2020266
2 202265
3 202036
4 196431
5 197330
6 202328
7 196324
8 196219
9 199319
10 196016
11 201914
12 198614
13 196113
14 196611
15 196810
16 20199
17 19629
18 19578
19
Fisher-Rao Metric, Geometry, and Complexity of Neural Networks
20177
20 19635

About James Stokes

James Stokes is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Pulmonary and Respiratory Medicine, Surgery and Nephrology, having authored 41 papers that have together received 680 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (8 papers), Quantum many-body systems (8 papers), Gaze Tracking and Assistive Technology (4 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers), Acute Kidney Injury Research (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Personality Traits and Psychology (2 papers) and Human-Automation Interaction and Safety (2 papers). The work is most often cited by research in Computational Mathematics (12 citations), Artificial Intelligence (298 citations), Atomic and Molecular Physics, and Optics (224 citations), Nephrology (28 citations) and Condensed Matter Physics (42 citations). James Stokes has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Giuseppe Carleo, Josh Izaac, Nathan Killoran, Javier Robledo Moreno, Antoine Georges, Michel M. Ter‐Pogossian, Shravan Veerapaneni, Tianchen Zhao, Eftychios A. Pnevmatikakis and W.L. Sugg. Their work appears in journals such as Annals of Surgery, Machine Learning Science and Technology, Journal of Consulting and Clinical Psychology, Quantitative Finance and Quantum Machine Intelligence.

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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