Richard A. Gray
- Cardiology and Cardiovascular Medicine top 5%
- Molecular Biology
- Computer Networks and Communications top 5%
- Cellular and Molecular Neuroscience top 10%
- Statistical and Nonlinear Physics top 5%
- Co-authors
- Arkady M. PertsovJosé JalifeDavid BournJames EasonNatalia A. TrayanovaKarine CambonDonald P. CainR. H. Gorrill
- Topics
- Cardiac electrophysiology and arrhythmias (3 papers)Neuroscience and Neural Engineering (3 papers)Neuroscience and Neuropharmacology Research (2 papers)
- Cited by
- Cardiology and Cardiovascular MedicineStatistical and Nonlinear PhysicsComputer Networks and Communications
- Partner nations
- United StatesUnited KingdomSouth Africa
In The Last Decade
Richard A. Gray
12 papers receiving 905 citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Cardiology and Cardiovascular Medicine 561
- Molecular Biology 229
- Computer Networks and Communications 225
- Cellular and Molecular Neuroscience 147
- Statistical and Nonlinear Physics 137
Countries citing papers authored by Richard A. Gray
This map shows the geographic impact of Richard A. Gray'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 Richard A. Gray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard A. Gray more than expected).
Fields of papers citing papers by Richard A. Gray
This network shows the impact of papers produced by Richard A. Gray. 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 Richard A. Gray. The network helps show where Richard A. Gray may publish in the future.
Co-authorship network of co-authors of Richard A. Gray
This figure shows the co-authorship network connecting the top 25 collaborators of Richard A. Gray. A scholar is included among the top collaborators of Richard A. Gray based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Richard A. Gray. Richard A. Gray is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 34 | |
| 6 | 23 | |
| 7 | 98 | |
| 8 | Spatial and temporal organization during cardiac fibrillationbreakdown → | 735 |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 5 | |
| 12 | A Guide to Book Review Citations; A Bibliography of Sources, | 1 |
| 13 | 16 |
About Richard A. Gray
Richard A. Gray is a scholar working on Cellular and Molecular Neuroscience, Electrochemistry and Microbiology, having authored 13 papers that have together received 932 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (3 papers), Neuroscience and Neural Engineering (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (561 citations), Statistical and Nonlinear Physics (137 citations) and Computer Networks and Communications (225 citations). Richard A. Gray has collaborated with scholars based in United States, United Kingdom and South Africa. Frequent co-authors include Arkady M. Pertsov, José Jalife, David Bourn, James Eason, Natalia A. Trayanova, Karine Cambon, Donald P. Cain, R. H. Gorrill, T.V.P. Bliss and Heather A. Davies. Their work appears in journals such as Nature, Biophysical Journal and Neuroscience.
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.