Tyler Barr

410 total citations
9 papers, 299 citations indexed

About

Tyler Barr is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Tyler Barr has authored 9 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 4 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Tyler Barr's work include Cardiac Valve Diseases and Treatments (8 papers), Cardiovascular Function and Risk Factors (8 papers) and Cardiac Imaging and Diagnostics (4 papers). Tyler Barr is often cited by papers focused on Cardiac Valve Diseases and Treatments (8 papers), Cardiovascular Function and Risk Factors (8 papers) and Cardiac Imaging and Diagnostics (4 papers). Tyler Barr collaborates with scholars based in United States and New Zealand. Tyler Barr's co-authors include Brian P. Griffin, Milind Y. Desai, Richard A. Grimm, Andrew L. Goodman, Shikhar Agarwal, Roosha Parikh, Kenya Kusunose, Zoran Popović, L. Leonardo Rodriguez and A. Marc Gillinov and has published in prestigious journals such as Circulation, Journal of Thoracic and Cardiovascular Surgery and Journal of the American Heart Association.

In The Last Decade

Tyler Barr

8 papers receiving 291 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tyler Barr United States 7 290 128 90 79 43 9 299
Fabien Chenot Belgium 6 259 0.9× 119 0.9× 103 1.1× 103 1.3× 26 0.6× 7 287
Lotte E. de Groot–de Laat Netherlands 11 317 1.1× 71 0.6× 77 0.9× 114 1.4× 39 0.9× 21 343
Adhiraj Chakrabarty Australia 8 217 0.7× 87 0.7× 49 0.5× 37 0.5× 50 1.2× 15 247
Dany Debs United States 8 299 1.0× 154 1.2× 75 0.8× 84 1.1× 42 1.0× 14 327
Ibtihal Al Amri Netherlands 10 315 1.1× 147 1.1× 155 1.7× 120 1.5× 41 1.0× 32 352
Stephan Milhorini Pio Netherlands 11 275 0.9× 113 0.9× 66 0.7× 120 1.5× 31 0.7× 25 280
Anne Ringlé France 10 239 0.8× 94 0.7× 50 0.6× 81 1.0× 56 1.3× 16 249
Åshild E. Rieck Norway 8 411 1.4× 180 1.4× 63 0.7× 78 1.0× 75 1.7× 10 425
Tatiana Busu United States 8 254 0.9× 78 0.6× 45 0.5× 83 1.1× 40 0.9× 11 285
Helle Gervig Carstensen Denmark 7 263 0.9× 124 1.0× 70 0.8× 70 0.9× 26 0.6× 10 275

Countries citing papers authored by Tyler Barr

Since Specialization
Citations

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

Fields of papers citing papers by Tyler Barr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tyler Barr

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

All Works

9 of 9 papers shown
1.
Barr, Tyler, et al.. (2023). Temporary epicardial pacing after cardiac surgery. BJA Education. 23(9). 337–349.
2.
Goodman, Andrew L., Kenya Kusunose, Zoran Popović, et al.. (2016). Synergistic Utility of Brain Natriuretic Peptide and Left Ventricular Strain in Patients With Significant Aortic Stenosis. Journal of the American Heart Association. 5(1). 19 indexed citations
3.
Masri, Ahmad, Andrew L. Goodman, Tyler Barr, et al.. (2016). Predictors of Long-Term Outcomes in Asymptomatic Patients With Severe Aortic Stenosis and Preserved Left Ventricular Systolic Function Undergoing Exercise Echocardiography. Circulation Cardiovascular Imaging. 9(7). 36 indexed citations
4.
Parikh, Roosha, Andrew L. Goodman, Tyler Barr, et al.. (2015). Outcomes of surgical aortic valve replacement for severe aortic stenosis: Incorporation of left ventricular systolic function and stroke volume index. Journal of Thoracic and Cardiovascular Surgery. 149(6). 1558–1566.e1. 24 indexed citations
6.
Naji, Peyman, Tyler Barr, L. Leonardo Rodriguez, et al.. (2015). Impact of Duration of Mitral Regurgitation on Outcomes in Asymptomatic Patients With Myxomatous Mitral Valve Undergoing Exercise Stress Echocardiography. Journal of the American Heart Association. 4(2). 7 indexed citations
7.
Kusunose, Kenya, Andrew L. Goodman, Roosha Parikh, et al.. (2014). Incremental Prognostic Value of Left Ventricular Global Longitudinal Strain in Patients With Aortic Stenosis and Preserved Ejection Fraction. Circulation Cardiovascular Imaging. 7(6). 938–945. 139 indexed citations
8.
Naji, Peyman, Brian P. Griffin, Tyler Barr, et al.. (2014). Importance of Exercise Capacity in Predicting Outcomes and Determining Optimal Timing of Surgery in Significant Primary Mitral Regurgitation. Journal of the American Heart Association. 3(5). e001010–e001010. 26 indexed citations
9.
Naji, Peyman, Brian P. Griffin, Tyler Barr, et al.. (2014). Predictors of Long-Term Outcomes in Patients With Significant Myxomatous Mitral Regurgitation Undergoing Exercise Echocardiography. Circulation. 129(12). 1310–1319. 47 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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