A. M. Skene
- Artificial Intelligence top 1%
- Computer Science Applications top 0.5%
- Cardiology and Cardiovascular Medicine top 5%
- Statistics and Probability top 2%
- Epidemiology
- Co-authors
- A. P. DawidGraham UptonJ R HamptonDenis Pereira GrayM MelvilleNigel BrownTracey YoungJ.E. Shaw
- Topics
- Acute Myocardial Infarction Research (4 papers)Statistical Methods and Bayesian Inference (3 papers)Bayesian Methods and Mixture Models (3 papers)
- Partner nations
- United KingdomItalyAustralia
In The Last Decade
A. M. Skene
29 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Artificial Intelligence 837
- Computer Science Applications 629
- Cardiology and Cardiovascular Medicine 304
- Statistics and Probability 244
- Epidemiology 243
Countries citing papers authored by A. M. Skene
This map shows the geographic impact of A. M. Skene'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 A. M. Skene with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. M. Skene more than expected).
Fields of papers citing papers by A. M. Skene
This network shows the impact of papers produced by A. M. Skene. 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 A. M. Skene. The network helps show where A. M. Skene may publish in the future.
Co-authorship network of co-authors of A. M. Skene
This figure shows the co-authorship network connecting the top 25 collaborators of A. M. Skene. A scholar is included among the top collaborators of A. M. Skene 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 A. M. Skene. A. M. Skene is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 201 | |
| 2 | 46 | |
| 3 | 49 | |
| 4 | A RANDOMIZED TRIAL OF NIMODIPINE IN SEVERE HEAD-INJURY - HIT-I | 16 |
| 5 | 3 | |
| 6 | 9 | |
| 7 | 3 | |
| 8 | 35 | |
| 9 | 68 | |
| 10 | 49 | |
| 11 | 15 | |
| 12 | 14 | |
| 13 | ORAL NIMODIPINE AND CEREBRAL INFARCTION FOLLOWING SUBARACHNOID HEMORRHAGE - A PRELIMINARY-REPORT OF THE BRITISH ANEURYSM NIMODIPINE TRIAL (BRANT) | 1 |
| 14 | 26 | |
| 15 | 73 | |
| 16 | 6 | |
| 17 | 36 | |
| 18 | 33 | |
| 19 | 100 | |
| 20 | 88 |
About A. M. Skene
A. M. Skene is a scholar working on Statistics and Probability, Cardiology and Cardiovascular Medicine and Emergency Medicine, having authored 29 papers that have together received 2.2k indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (4 papers), Statistical Methods and Bayesian Inference (3 papers) and Bayesian Methods and Mixture Models (3 papers). The work is most often cited by research in Computer Science Applications (629 citations), Statistics and Probability (244 citations) and Artificial Intelligence (837 citations). A. M. Skene has collaborated with scholars based in United Kingdom, Italy and Australia. Frequent co-authors include A. P. Dawid, Graham Upton, J R Hampton, Denis Pereira Gray, M Melville, Nigel Brown, Tracey Young, J.E. Shaw, A. F. M. Smith and James Munro. Their work appears in journals such as The Lancet, Circulation and Gastroenterology.
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.