Brian Coyle

1.0k citations
27 papers · 669 · h-index 11

Impact in

    • Quantum Computing Algorithms and Architecture
    • Quantum Information and Cryptography
    • Neural Networks and Reservoir Computing
  • Parasitology top 10%
    • Vector-borne infectious diseases

Papers in

Brian Coyle

24 papers receiving 624 citations

Peers

Brian Coyle
Comparison fields: 5 of 89
  • Artificial Intelligence 362
  • Parasitology 53
  • Computational Theory and Mathematics 73
  • Accounting 48
  • Oncology 81
Replace Raffaella Carbone with:
Raffaella Carbone Italy
Michael G. Endres United States
Lucas Böttcher Germany
Ming Huang United States
Concepción Roldán Spain
Edward W. Piotrowski Poland
Qizhi He China
Yuyun Hidayat Indonesia
Benjamin F. Maier Germany
Brian Coyle relative to Raffaella Carbone Italy Raffaella Carbone's profile →
Citations per field
00.5×10×16.2×
Raffaella Carbone · 1×
Citations per year

Countries citing papers authored by Brian Coyle

Since Specialization
Citations

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

Fields of papers citing papers by Brian Coyle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020202
2 2007123
3 202092
4 199659
5 202230
6 202128
7
Framework for Credit Risk Management
200426
8 201820
9 201914
10
Risk Awareness and Corporate Governance
200312
11 201811
12
Corporate credit analysis
200010
13 20227
14 20226
15 20215
16 20194
17
Cash Flow Control
19993
18
20193
19
Cash Flow Forecasting and Liquidity
20003
20 20152

About Brian Coyle

Brian Coyle is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, General Health Professions, Pharmacology and Infectious Diseases, having authored 27 papers that have together received 669 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (9 papers), Quantum Information and Cryptography (6 papers), Quantum Mechanics and Applications (3 papers), Stochastic Gradient Optimization Techniques (3 papers), Workplace Health and Well-being (2 papers), Musculoskeletal pain and rehabilitation (2 papers), Cold Atom Physics and Bose-Einstein Condensates (1 paper) and Banking stability, regulation, efficiency (1 paper). The work is most often cited by research in Artificial Intelligence (362 citations), Parasitology (53 citations), Computational Theory and Mathematics (73 citations), Accounting (48 citations) and Oncology (81 citations). Brian Coyle has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Ryan LaRose, Elham Kashefi, Daniel Mills, Vincent Danos, Jane Walker, Kirstine Postma, Michael Sharpe, Robert Rush, V Strong and Gillian S. McHugh. Their work appears in journals such as Physical review. A, npj Quantum Information, Quantum Machine Intelligence, International Journal of Environmental Research and Public Health and Journal of Physical Activity and Health.

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.

Explore authors with similar magnitude of impact