Tim Lockie

52 papers receiving 1.7k citations

Peers

Tim Lockie
Comparison fields: 5 of 60
  • Radiology, Nuclear Medicine and Imaging 827
  • Surgery 582
  • Cardiology and Cardiovascular Medicine 311
  • Emergency Medicine 102
  • Biomedical Engineering 121
Replace Julien Adjedj with:
Julien Adjedj France
Hironori Kitabata Japan
Sundeep Singh Kalra United Kingdom
Marc Bédossa France
Natalia Pinilla Echeverri Canada
Takeshi Nishi Japan
Martin Büchi Switzerland
Mark J. Boogers Netherlands
Pyo Won Park South Korea
Constantine L. Athanasuleas United States
Tim Lockie relative to Julien Adjedj France Julien Adjedj's profile →
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Citations per year

Countries citing papers authored by Tim Lockie

Since Specialization
Citations

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

Fields of papers citing papers by Tim Lockie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tim Lockie, 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 Tim Lockie Line = papers co-authored together Tim Lockie links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019197
2 2010161
3 2013150
4 2018124
5 2020109
6 201799
7 201383
8 200978
9 200973
10 200970
11 201365
12 201352
13 202351
14 201243
15 201141
16 201635
17 202429
18 201327
19 201226
20 202325

About Tim Lockie

Tim Lockie is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Cardiology and Cardiovascular Medicine, Complementary and alternative medicine and Oncology, having authored 58 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (24 papers), Coronary Interventions and Diagnostics (22 papers), Cardiovascular Health and Disease Prevention (4 papers), Acute Myocardial Infarction Research (4 papers), Cardiovascular and exercise physiology (2 papers), Mechanical Circulatory Support Devices (2 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers) and COVID-19 and healthcare impacts (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (827 citations), Surgery (582 citations), Cardiology and Cardiovascular Medicine (311 citations), Emergency Medicine (102 citations) and Biomedical Engineering (121 citations). Tim Lockie has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Sven Plein, Simon Robert Redwood, Eike Nagel, Divaka Perera, Michael S. Marber, Kalpa De Silva, Amedeo Chiribiri, Sundeep Singh Kalra, Reza Razavi and Roby D. Rakhit. Their work appears in journals such as Journal of Cardiovascular Magnetic Resonance, Journal of the American College of Cardiology, Circulation, European Heart Journal and Heart.

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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