Michael Sweeting

16.6k citations
126 papers · 7.7k indexed · 4 hit papers · h-index 39

Michael Sweeting

119 papers receiving 7.5k citations

Hit Papers

Endovascular versus open repair of abd...685200420262011201850010001.5k

Peers

Michael Sweeting
Comparison fields: 5 of 174
  • Cardiology and Cardiovascular Medicine 2.0k
  • Pulmonary and Respiratory Medicine 2.8k
  • Statistics and Probability 593
  • Rheumatology 1.0k
  • Hepatology 407
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Citations per field
00.5×3.0×
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Citations per year

Countries citing papers authored by Michael Sweeting

Since Specialization
Citations

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

Fields of papers citing papers by Michael Sweeting

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Michael Sweeting, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Sweeting Line = papers co-authored together Michael Sweeting links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20242
3 20243
4 20240
5 20239
6 20234
7 20233
8 20226
9 20225
10 202011
11
THE SAFER STUDY (SCREENING FOR ATRIAL FIBRILLATION WITH ECG TO REDUCE STROKE): IS IT FEASIBLE TO SCREEN FOR ATRIAL FIBRILLATION IN GENERAL PRACTICE?
20200
12 201825
13 201843
14 201771
15 2017125
16 201668
17 2013179
18 201311
19 201038
20
In reply [5]
20067

About Michael Sweeting

Michael Sweeting is a scholar working on Statistics and Probability, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Hepatology and Economics and Econometrics, having authored 126 papers that have together received 7.7k indexed citations. Recurring topics across this work include Aortic aneurysm repair treatments (38 papers), Cardiac, Anesthesia and Surgical Outcomes (30 papers), Health Systems, Economic Evaluations, Quality of Life (20 papers), Statistical Methods in Clinical Trials (19 papers), Advanced Causal Inference Techniques (13 papers), Liver Disease Diagnosis and Treatment (10 papers), Vascular Procedures and Complications (10 papers) and Aortic Disease and Treatment Approaches (9 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.0k citations), Pulmonary and Respiratory Medicine (2.8k citations), Statistics and Probability (593 citations), Rheumatology (1.0k citations) and Hepatology (407 citations). Michael Sweeting has collaborated with scholars based in United Kingdom, Sweden and United States. Frequent co-authors include Alex J. Sutton, Paul C. Lambert, Janet T. Powell, Eric L. Matteson, Tim Bongartz, Iain Buchan, Víctor M. Montori, Simon G. Thompson, Roger M. Greenhalgh and Rajesh Patel. Their work appears in journals such as British journal of surgery, Statistics in Medicine, Journal of Vascular Surgery, Health Technology Assessment and Pharmaceutical Statistics.

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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