A. M. Skene

3.2k total citations · 1 hit paper
29 papers, 2.2k citations indexed

About

A. M. Skene is a scholar working on Cardiology and Cardiovascular Medicine, Statistics and Probability and Neurology. According to data from OpenAlex, A. M. Skene has authored 29 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cardiology and Cardiovascular Medicine, 7 papers in Statistics and Probability and 4 papers in Neurology. Recurrent topics in A. M. Skene's work include Acute Myocardial Infarction Research (4 papers), Statistical Methods and Bayesian Inference (3 papers) and Bayesian Methods and Mixture Models (3 papers). A. M. Skene is often cited by papers focused on Acute Myocardial Infarction Research (4 papers), Statistical Methods and Bayesian Inference (3 papers) and Bayesian Methods and Mixture Models (3 papers). A. M. Skene collaborates with scholars based in United Kingdom, Italy and Australia. A. M. Skene's 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 and has published in prestigious journals such as The Lancet, Circulation and Gastroenterology.

In The Last Decade

A. M. Skene

29 papers receiving 2.0k citations

Hit Papers

Maximum Likelihood Estimation of Observer Error-Rates Usi... 1979 2026 1994 2010 1979 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
A. M. Skene United Kingdom 17 837 629 304 244 243 29 2.2k
Marek J. Drużdżel United States 23 1.0k 1.2× 30 0.0× 65 0.2× 83 0.3× 213 0.9× 101 2.0k
Truyen Tran Australia 24 1.2k 1.5× 37 0.1× 167 0.5× 32 0.1× 270 1.1× 101 3.3k
Dina Demner‐Fushman United States 41 4.1k 5.0× 33 0.1× 74 0.2× 26 0.1× 164 0.7× 228 6.6k
Iain Marshall United Kingdom 23 632 0.8× 25 0.0× 296 1.0× 30 0.1× 514 2.1× 80 3.0k
Judith A. Stafford United States 25 1.0k 1.2× 52 0.1× 474 1.6× 13 0.1× 310 1.3× 84 3.1k
Finale Doshi‐Velez United States 25 1.9k 2.3× 17 0.0× 131 0.4× 79 0.3× 259 1.1× 102 3.4k
Robert P. Treviño United States 11 833 1.0× 18 0.0× 205 0.7× 26 0.1× 121 0.5× 19 2.6k
Suchi Saria United States 27 1.3k 1.6× 12 0.0× 235 0.8× 76 0.3× 800 3.3× 80 4.0k
Qing Zeng‐Treitler United States 26 816 1.0× 32 0.1× 78 0.3× 39 0.2× 152 0.6× 117 2.2k
Zhe He United States 24 795 0.9× 16 0.0× 109 0.4× 83 0.3× 172 0.7× 203 2.3k

Countries citing papers authored by A. M. Skene

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Brown, Nigel, M Melville, Denis Pereira Gray, et al.. (1999). Quality of life four years after acute myocardial infarction: short form 36 scores compared with a normal population. Heart. 81(4). 352–358. 201 indexed citations
2.
Gray, Denis Pereira, et al.. (1993). Impact of hospital thrombolysis policy on out-of-hospital response to suspected myocardial infarction. The Lancet. 341(8846). 654–658. 46 indexed citations
3.
Cowley, Alison, A. M. Skene, K. Stainer, & J R Hampton. (1993). The effect of lorcainide on arrhythmias and survival in patients with acute myocardial infarction: an example of publication bias. International Journal of Cardiology. 40(2). 161–166. 49 indexed citations
4.
Teasdale, G. M., Nathan W. Bailey, J. Gray, et al.. (1992). A RANDOMIZED TRIAL OF NIMODIPINE IN SEVERE HEAD-INJURY - HIT-I. Journal of Neurotrauma. 9. 16 indexed citations
5.
Cowley, Alan, et al.. (1992). A comparison of the effects of captopril and flosequinan in patients with severe heart failure. Cardiovascular Drugs and Therapy. 6(5). 465–470. 3 indexed citations
6.
Skene, A. M. & Sarah White. (1992). A latent class model for repeated measurements experiments. Statistics in Medicine. 11(16). 2111–2122. 9 indexed citations
7.
Hampton, J R & A. M. Skene. (1992). Beyond the mega-trial: certainty and uncertainty. Heart. 68(10). 352–355. 3 indexed citations
8.
Cowley, Alan, L. Fullwood, A F Muller, et al.. (1991). Exercise capability in heart failure: is cardiac output important after all?. The Lancet. 337(8744). 771–773. 35 indexed citations
9.
Gray, J., Paul Marks, Henry Marsh, et al.. (1991). A trial of the effect of nimodipine on outcome after head injury. Acta Neurochirurgica. 110(3-4). 97–105. 68 indexed citations
10.
Skene, A. M. & John C. Wakefield. (1990). Hierarchical models for multicentre binary response studies. Statistics in Medicine. 9(8). 919–929. 49 indexed citations
11.
Pickard, J. D., Gordon Murray, R D Illingworth, et al.. (1990). Oral nimodipine and cerebral ischaemia following subarachnoid haemorrhage. International Journal of Clinical Practice. 44(2). 66–67. 15 indexed citations
12.
Teasdale, G. M., J. Gray, Paul Marks, et al.. (1990). The Effect of Nimodipine on Outcome After Head Injury: A Prospective Randomised Control Trial. PubMed. 51. 315–316. 14 indexed citations
13.
Pickard, JD, Gordon Murray, R D Illingworth, et al.. (1989). ORAL NIMODIPINE AND CEREBRAL INFARCTION FOLLOWING SUBARACHNOID HEMORRHAGE - A PRELIMINARY-REPORT OF THE BRITISH ANEURYSM NIMODIPINE TRIAL (BRANT). 447–447. 1 indexed citations
14.
Frame, J.W., et al.. (1986). A double-blind placebo-controlled comparison of three ibuprofen/codeine combinations and aspirin. British Journal of Oral and Maxillofacial Surgery. 24(2). 122–129. 26 indexed citations
15.
Smith, A. F. M., A. M. Skene, J.E. Shaw, J. C. Naylor, & Mark T. Dransfield. (1985). The implementation of the bayesian paradigm. Communication in Statistics- Theory and Methods. 14(5). 1079–1102. 73 indexed citations
16.
Skene, A. M.. (1983). Computing Marginal Distributions for the Dispersion Parameters of Analysis of Variance Models. Journal of the Royal Statistical Society Series D (The Statistician). 32(1/2). 99–99. 6 indexed citations
17.
Theodossi, A, R. P. Knill‐Jones, A. M. Skene, et al.. (1981). Inter‐observer variation of symptoms and signs in jaundice. Liver International. 1(1). 21–32. 36 indexed citations
18.
Baskett, Peter, et al.. (1980). Assessment of fitness for surgical procedures and the variability of anaesthetists' judgments.. BMJ. 280(6213). 509–512. 33 indexed citations
19.
Theodossi, A, A. M. Skene, B Portmann, et al.. (1980). Observer variation in assessment of liver biopsies including analysis by kappa statistics. Gastroenterology. 79(2). 232–241. 100 indexed citations
20.
Teasdale, Graham M., A. M. Skene, L. Parker, & B. Jennett. (1979). Age and Outcome of Severe Head Injury. PubMed. 28(1). 140–143. 88 indexed citations

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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