Philip Rooney

623 total citations
6 papers, 266 citations indexed

About

Philip Rooney is a scholar working on Epidemiology, Artificial Intelligence and Psychiatry and Mental health. According to data from OpenAlex, Philip Rooney has authored 6 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 3 papers in Artificial Intelligence and 3 papers in Psychiatry and Mental health. Recurrent topics in Philip Rooney's work include Chronic Disease Management Strategies (4 papers), Dementia and Cognitive Impairment Research (3 papers) and Machine Learning in Healthcare (3 papers). Philip Rooney is often cited by papers focused on Chronic Disease Management Strategies (4 papers), Dementia and Cognitive Impairment Research (3 papers) and Machine Learning in Healthcare (3 papers). Philip Rooney collaborates with scholars based in United Kingdom, Portugal and United States. Philip Rooney's co-authors include Seb Oliver, Elizabeth Ford, Jackie Cassell, Sube Banerjee, Stephen Bremner, Matt Hilton, M Sahlén, C. A. Collins, Nicola Mehrtens and Christopher J. Miller and has published in prestigious journals such as PLoS ONE, Monthly Notices of the Royal Astronomical Society and BMJ Open.

In The Last Decade

Philip Rooney

6 papers receiving 262 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Philip Rooney United Kingdom	6	127	74	42	41	39	6	266
Thomas J. Lydon United States	8	124 1.0×	44 0.6×	19 0.5×	4 0.1×	12 0.3×	11	547
Jing Dou China	13	148 1.2×	8 0.1×	90 2.1×	10 0.2×	3 0.1×	26	375
J. G. Beck United States	10	517 4.1×	20 0.3×	19 0.5×	9 0.2×	91 2.3×	18	633
Thomas McClintock United States	8	177 1.4×	42 0.6×	57 1.4×	41 1.0×	11 0.3×	9	312
M. Fitzpatrick United States	5	165 1.3×	8 0.1×	76 1.8×	13 0.3×	4 0.1×	13	267
Joshua Wiener Canada	14	235 1.9×	93 1.3×	9 0.2×	187 4.6×	3 0.1×	36	601
Christoph Rauch Germany	8	123 1.0×	31 0.4×	2 0.0×	34 0.8×	10 0.3×	26	216
Jeffrey D. Simpson United States	17	510 4.0×	10 0.1×	238 5.7×	31 0.8×	5 0.1×	60	906
S. Catalán Spain	16	511 4.0×	48 0.6×	209 5.0×	102 2.5×	2 0.1×	30	657
Hans F. Stabenau United States	10	112 0.9×	6 0.1×	15 0.4×	64 1.6×	2 0.1×	23	312

Countries citing papers authored by Philip Rooney

Since Specialization

Citations

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

Fields of papers citing papers by Philip Rooney

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Rooney

This figure shows the co-authorship network connecting the top 25 collaborators of Philip Rooney. A scholar is included among the top collaborators of Philip Rooney 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 Philip Rooney. Philip Rooney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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6 of 6 papers shown

1.

Ford, Elizabeth, et al.. (2021). Automated detection of patients with dementia whose symptoms have been identified in primary care but have no formal diagnosis: a retrospective case–control study using electronic primary care records. BMJ Open. 11(1). e039248–e039248. 22 indexed citations

2.

Ford, Elizabeth, Philip Rooney, Peter D. Hurley, et al.. (2020). Can the Use of Bayesian Analysis Methods Correct for Incompleteness in Electronic Health Records Diagnosis Data? Development of a Novel Method Using Simulated and Real-Life Clinical Data. Frontiers in Public Health. 8. 54–54. 8 indexed citations

3.

Ford, Elizabeth, Philip Rooney, Seb Oliver, et al.. (2019). Identifying undetected dementia in UK primary care patients: a retrospective case-control study comparing machine-learning and standard epidemiological approaches. BMC Medical Informatics and Decision Making. 19(1). 248–248. 44 indexed citations

4.

Ford, Elizabeth, Priyamvada Paudyal, Stephen Bremner, et al.. (2018). Predicting dementia from primary care records: A systematic review and meta-analysis. PLoS ONE. 13(3). e0194735–e0194735. 64 indexed citations

5.

Wilcox, H., David Bacon, R. C. Nichol, et al.. (2015). TheXMMCluster Survey: testing chameleon gravity using the profiles of clusters. Monthly Notices of the Royal Astronomical Society. 452(2). 1171–1183. 72 indexed citations

6.

Stott, J. P., Ryan C. Hickox, A. C. Edge, et al.. (2012). The XMM Cluster Survey: the interplay between the brightest cluster galaxy and the intracluster medium via AGN feedback. Monthly Notices of the Royal Astronomical Society. 422(3). 2213–2229. 56 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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