Balázs Tar

456 total citations
20 papers, 340 citations indexed

About

Balázs Tar is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Balázs Tar has authored 20 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Surgery, 16 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Balázs Tar's work include Coronary Interventions and Diagnostics (18 papers), Cardiac Imaging and Diagnostics (16 papers) and Cardiovascular Function and Risk Factors (4 papers). Balázs Tar is often cited by papers focused on Coronary Interventions and Diagnostics (18 papers), Cardiac Imaging and Diagnostics (16 papers) and Cardiovascular Function and Risk Factors (4 papers). Balázs Tar collaborates with scholars based in Hungary, China and Austria. Balázs Tar's co-authors include Zsolt Kőszegi, Zhonghua Sun, Dan Ruşinaru, Junqing Yang, Shengxian Tu, Yingguang Li, Emanuele Barbato, Johan H. C. Reiber, William Wijns and Niels Ramsing Holm and has published in prestigious journals such as Journal of the American College of Cardiology, European Heart Journal and International Journal of Cardiology.

In The Last Decade

Balázs Tar

17 papers receiving 338 citations

Peers

Balázs Tar
Comparison fields: 5 of 24
  • Surgery 310
  • Radiology, Nuclear Medicine and Imaging 293
  • Cardiology and Cardiovascular Medicine 239
  • Pulmonary and Respiratory Medicine 29
  • Biomedical Engineering 22
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Citations per field, relative to Balázs Tar
Balázs Tar · 1×
Citations per year, relative to Balázs Tar
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Countries citing papers authored by Balázs Tar

Since Specialization
Citations

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

Fields of papers citing papers by Balázs Tar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Balázs Tar

This figure shows the co-authorship network connecting the top 25 collaborators of Balázs Tar. A scholar is included among the top collaborators of Balázs Tar 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 Balázs Tar. Balázs Tar 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
# Work Indexed citations
1 0
2 1
3 4
4 0
5 4
6 5
7 6
8 2
9 8
10 3
11 15
12 2
13
The laminar resistance of the coronary segment between the lesion and the sensor of the pressure wire significantly influences the fractional flow reserve
0
14 272
15 3
16 1
17
Calculation the translesional pressure gradients on coronary stenosis by combining three-dimensional coronary angiography parameters with frame count data
1
18 10
19
Nonhyperemic intracoronary pressure waveform analysis predicts the fractional flow reserve
2
20
Evaluation of the spatial changes of the coronary morphology due to stent implantation with three-dimensional angiography
1

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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