Anne McShane

632 total citations
21 papers, 427 citations indexed

About

Anne McShane is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Health Information Management. According to data from OpenAlex, Anne McShane has authored 21 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cardiology and Cardiovascular Medicine, 4 papers in Surgery and 3 papers in Health Information Management. Recurrent topics in Anne McShane's work include ECG Monitoring and Analysis (6 papers), Acute Myocardial Infarction Research (5 papers) and Coronary Interventions and Diagnostics (3 papers). Anne McShane is often cited by papers focused on ECG Monitoring and Analysis (6 papers), Acute Myocardial Infarction Research (5 papers) and Coronary Interventions and Diagnostics (3 papers). Anne McShane collaborates with scholars based in United Kingdom, Ireland and Germany. Anne McShane's co-authors include Nelson F. DuBois, Kenneth A. Kiewra, Christian David, Victoria McGilligan, Raymond Bond, Aaron Peace, Khaled Rjoob, Stephen J Leslie, Dewar Finlay and Daniel Guldenring and has published in prestigious journals such as Journal of Educational Psychology, Artificial Intelligence in Medicine and Catheterization and Cardiovascular Interventions.

In The Last Decade

Anne McShane

20 papers receiving 354 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anne McShane United Kingdom 7 181 180 165 41 36 21 427
Christian Kürschner Germany 6 270 1.5× 168 0.9× 339 2.1× 6 0.1× 63 1.8× 9 623
Richard Shavelson United States 8 78 0.4× 241 1.3× 47 0.3× 7 0.2× 23 0.6× 13 400
Anja Schiepe-Tiska Germany 10 67 0.4× 173 1.0× 72 0.4× 6 0.1× 15 0.4× 28 301
Charlotte Larmuseau Belgium 10 67 0.4× 131 0.7× 53 0.3× 16 0.4× 54 1.5× 15 341
Jack A. Chambers United States 10 139 0.8× 262 1.5× 166 1.0× 4 0.1× 33 0.9× 24 572
Jan‐Louis Kruger Australia 14 143 0.8× 38 0.2× 309 1.9× 8 0.2× 104 2.9× 51 792
Ouhao Chen Australia 14 355 2.0× 254 1.4× 404 2.4× 5 0.1× 72 2.0× 30 731
Derrick W. Smith United States 14 85 0.5× 107 0.6× 18 0.1× 15 0.4× 222 6.2× 40 564
Maria Wirzberger Germany 8 83 0.5× 69 0.4× 124 0.8× 3 0.1× 31 0.9× 33 246
Marshall J. Farr 4 122 0.7× 120 0.7× 66 0.4× 2 0.0× 28 0.8× 4 373

Countries citing papers authored by Anne McShane

Since Specialization
Citations

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

Fields of papers citing papers by Anne McShane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne McShane

This figure shows the co-authorship network connecting the top 25 collaborators of Anne McShane. A scholar is included among the top collaborators of Anne McShane 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 Anne McShane. Anne McShane 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.
Rjoob, Khaled, Victoria McGilligan, Raymond Bond, et al.. (2023). What do we mean by complex percutaneous coronary intervention? An assessment of agreement amongst interventional cardiologists for defining complexity. Catheterization and Cardiovascular Interventions. 102(1). 1–10. 2 indexed citations
2.
Watt, Jonathan, Khaled Rjoob, Raymond Bond, et al.. (2022). Using latent class analysis to identify clinical features of patients with occlusive myocardial infarction: Preangiogram prediction remains difficult. Clinical Cardiology. 45(2). 231–238. 2 indexed citations
3.
Rjoob, Khaled, Raymond Bond, Dewar Finlay, et al.. (2022). Machine learning and the electrocardiogram over two decades: Time series and meta-analysis of the algorithms, evaluation metrics and applications. Artificial Intelligence in Medicine. 132. 102381–102381. 31 indexed citations
4.
Rjoob, Khaled, Raymond Bond, Dewar Finlay, et al.. (2021). Reliable Deep Learning–Based Detection of Misplaced Chest Electrodes During Electrocardiogram Recording: Algorithm Development and Validation. JMIR Medical Informatics. 9(4). e25347–e25347. 8 indexed citations
5.
Bond, Raymond, Victoria McGilligan, Stephen J Leslie, et al.. (2021). Comparing Single-Page, Multipage, and Conversational Digital Forms in Health Care: Usability Study. JMIR Human Factors. 8(2). e25787–e25787. 6 indexed citations
6.
Rjoob, Khaled, Raymond Bond, Dewar Finlay, et al.. (2020). Machine learning techniques for detecting electrode misplacement and interchanges when recording ECGs: A systematic review and meta-analysis. Journal of Electrocardiology. 62. 116–123. 13 indexed citations
7.
Bond, Raymond, et al.. (2020). Machine Learning to Predict 30 days and 1-year Mortality in STEMI and Turndown Patients. Computing in cardiology. 1 indexed citations
8.
Rjoob, Khaled, Dewar Finlay, Victoria McGilligan, et al.. (2020). Near future artificial intelligence in interventional cardiology: new opportunities and challenges to improve the care of STEMI patients. Ulster University Research Portal (Ulster University). 1 indexed citations
9.
Rjoob, Khaled, Victoria McGilligan, Raymond Bond, et al.. (2020). Improving the Detection of Acute Coronary Syndrome Using Machine Learning of Blood Biomarkers. Computing in cardiology. 1 indexed citations
10.
Bond, Raymond, Victoria McGilligan, Stephen J Leslie, et al.. (2020). Computational time series analysis of patient referrals to a primary percutaneous coronary intervention service. Health Informatics Journal. 26(3). 2222–2236. 1 indexed citations
11.
Rjoob, Khaled, Raymond Bond, Dewar Finlay, et al.. (2019). Data driven feature selection and machine learning to detect misplaced V1 and V2 chest electrodes when recording the 12‑lead electrocardiogram. Journal of Electrocardiology. 57. 39–43. 6 indexed citations
12.
McGilligan, Victoria, Steven Watterson, Khaled Rjoob, et al.. (2019). An exploratory analysis investigating blood protein biomarkers to augment ECG diagnosis of ACS. Journal of Electrocardiology. 57. S92–S97. 2 indexed citations
13.
14.
McShane, Anne. (2014). Material Culture and 'Political Drinking' in Seventeenth-Century England. Past & Present. 222(suppl 9). 247–276. 4 indexed citations
15.
McShane, Anne. (2007). The Roasting of the Rump: Scatology and the Body Politic in Restoration England. Past & Present. 196(1). 253–272. 3 indexed citations
16.
Doherty, Donna, et al.. (2005). Efficacy of fibrinolysis in the emergency department for acute myocardial infarction. Irish Journal of Medical Science (1971 -). 174(3). 9–12. 1 indexed citations
17.
Kiewra, Kenneth A., Nelson F. DuBois, David Christian, Anne McShane, & et al.. (1991). Note-taking functions and techniques.. Journal of Educational Psychology. 83(2). 240–245. 15 indexed citations
18.
Kiewra, Kenneth A., et al.. (1991). Note-taking functions and techniques.. Journal of Educational Psychology. 83(2). 240–245. 228 indexed citations
19.
Kiewra, Kenneth A., Nelson F. DuBois, Christian David, & Anne McShane. (1988). Providing study notes: Comparison of three types of notes for review.. Journal of Educational Psychology. 80(4). 595–597. 88 indexed citations
20.
Kiewra, Kenneth A., Nelson F. DuBois, David Christian, & Anne McShane. (1988). Providing study notes: Comparison of three types of notes for review.. Journal of Educational Psychology. 80(4). 595–597. 6 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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