Konrad Pieszko

1.2k total citations
34 papers, 521 citations indexed

About

Konrad Pieszko is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Konrad Pieszko has authored 34 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Cardiology and Cardiovascular Medicine and 12 papers in Biomedical Engineering. Recurrent topics in Konrad Pieszko's work include Cardiac Imaging and Diagnostics (21 papers), Advanced X-ray and CT Imaging (11 papers) and Medical Imaging Techniques and Applications (6 papers). Konrad Pieszko is often cited by papers focused on Cardiac Imaging and Diagnostics (21 papers), Advanced X-ray and CT Imaging (11 papers) and Medical Imaging Techniques and Applications (6 papers). Konrad Pieszko collaborates with scholars based in Poland, United States and Canada. Konrad Pieszko's co-authors include Paweł Burchardt, Jarosław Hiczkiewicz, Jan Budzianowski, Janusz Rzeźniczak, Piotr J. Slomka, Damini Dey, Robert J.H. Miller, Daniel S. Berman, Aakash Shanbhag and Mark Lemley and has published in prestigious journals such as Nature Communications, Journal of the American College of Cardiology and European Heart Journal.

In The Last Decade

Konrad Pieszko

31 papers receiving 514 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Konrad Pieszko Poland	13	247	235	116	83	81	34	521
Cameron Hassani United States	12	279 1.1×	150 0.6×	81 0.7×	38 0.5×	96 1.2×	29	595
Roman Johannes Gertz Germany	11	353 1.4×	250 1.1×	58 0.5×	9 0.1×	29 0.4×	37	519
Jarosław Hiczkiewicz Poland	9	45 0.2×	209 0.9×	13 0.1×	82 1.0×	80 1.0×	38	354
Bin Song China	12	287 1.2×	46 0.2×	73 0.6×	17 0.2×	128 1.6×	44	543
Christopher Bianco United States	14	87 0.4×	322 1.4×	211 1.8×	24 0.3×	42 0.5×	51	612
Rocco Corso Italy	14	208 0.8×	75 0.3×	55 0.5×	51 0.6×	76 0.9×	36	493
Ingrid E.M. Bank Netherlands	11	197 0.8×	185 0.8×	116 1.0×	11 0.1×	15 0.2×	14	390
Serena Carriero Italy	11	181 0.7×	38 0.2×	47 0.4×	59 0.7×	48 0.6×	51	392
Nicholas T. Befera United States	11	163 0.7×	38 0.2×	56 0.5×	16 0.2×	16 0.2×	30	312
Júlia Karády Hungary	17	656 2.7×	517 2.2×	269 2.3×	44 0.5×	115 1.4×	59	993

Countries citing papers authored by Konrad Pieszko

Since Specialization

Citations

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

Fields of papers citing papers by Konrad Pieszko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Konrad Pieszko

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

All Works

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20 of 20 papers shown

Kwieciński, Jacek, Kajetan Grodecki, Konrad Pieszko, et al.. (2025). Preprocedural CT angiography and machine learning for mortality prediction after transcatheter aortic valve replacement. Progress in Cardiovascular Diseases. 90. 119–128.

Zhou, Jianhang, Aakash Shanbhag, Donghee Han, et al.. (2025). Automated proximal coronary artery calcium identification using artificial intelligence: advancing cardiovascular risk assessment. European Heart Journal - Cardiovascular Imaging. 26(3). 471–480. 1 indexed citations

Awad, Ahmed K., et al.. (2025). Long-Term Clinical and Angiographic Outcomes of Off-Pump Versus On-Pump Coronary Artery Bypass Grafting. Journal of Surgical Research. 309. 8–18. 1 indexed citations

Pieszko, Konrad, Ahmed K. Awad, Jakub Marczak, et al.. (2024). Long-term outcomes of minimally invasive direct coronary artery bypass vs second generation drug eluting stent for management of isolated left anterior descending artery disease. International Journal of Cardiology. 422. 132935–132935. 1 indexed citations

Miller, Robert J.H., Aditya Killekar, Aakash Shanbhag, et al.. (2024). Predicting mortality from AI cardiac volumes mass and coronary calcium on chest computed tomography. Nature Communications. 15(1). 2747–2747. 9 indexed citations

Kwieciński, Jacek, Kajetan Grodecki, Konrad Pieszko, et al.. (2023). Preprocedural computed tomography angiography for prediction of transcatheter aortic valve implantation outcomes. A machine learning study. European Heart Journal. 44(Supplement_2). 1 indexed citations

Kwieciński, Jacek, Maciej Dąbrowski, Luis Nombela‐Franco, et al.. (2023). Machine learning for prediction of all-cause mortality after transcatheter aortic valve implantation. European Heart Journal - Quality of Care and Clinical Outcomes. 9(8). 768–777. 13 indexed citations

Fehér, Attila, Konrad Pieszko, Aakash Shanbhag, et al.. (2023). CT attenuation correction improves quantitative risk prediction by cardiac SPECT in obese patients. European Journal of Nuclear Medicine and Molecular Imaging. 51(3). 695–706. 4 indexed citations

Pieszko, Konrad, et al.. (2023). The Comparative Method Based on Coronary Computed Tomography Angiography for Assessing the Hemodynamic Significance of Coronary Artery Stenosis. Cardiovascular Engineering and Technology. 14(3). 364–379. 4 indexed citations

10.

Singh, Ananya, Jacek Kwieciński, Robert J.H. Miller, et al.. (2022). Deep Learning for Explainable Estimation of Mortality Risk From Myocardial Positron Emission Tomography Images. Circulation Cardiovascular Imaging. 15(9). e014526–e014526. 25 indexed citations

11.

Pieszko, Konrad, Aakash Shanbhag, Aditya Killekar, et al.. (2022). Deep Learning of Coronary Calcium Scores From PET/CT Attenuation Maps Accurately Predicts Adverse Cardiovascular Events. JACC. Cardiovascular imaging. 16(5). 675–687. 42 indexed citations

12.

Pieszko, Konrad, Aakash Shanbhag, Mark Lemley, et al.. (2022). Reproducibility of quantitative coronary calcium scoring from PET/CT attenuation maps: comparison to ECG-gated CT scans. European Journal of Nuclear Medicine and Molecular Imaging. 49(12). 4122–4132. 20 indexed citations

13.

Fehér, Attila, Konrad Pieszko, Robert J.H. Miller, et al.. (2022). Integration of coronary artery calcium scoring from CT attenuation scans by machine learning improves prediction of adverse cardiovascular events in patients undergoing SPECT/CT myocardial perfusion imaging. Journal of Nuclear Cardiology. 30(2). 590–603. 18 indexed citations

14.

Pieszko, Konrad, Jarosław Hiczkiewicz, Paweł Krzesiński, et al.. (2022). Predicting the presence of left atrial appendage thrombus with clinical features and transthoracic measurements using machine learning. European Heart Journal. 43(Supplement_2).

15.

Miller, Robert J.H., Konrad Pieszko, Aakash Shanbhag, et al.. (2022). Deep Learning Coronary Artery Calcium Scores from SPECT/CT Attenuation Maps Improve Prediction of Major Adverse Cardiac Events. Journal of Nuclear Medicine. 64(4). 652–658. 31 indexed citations

16.

Pieszko, Konrad, Aakash Shanbhag, Aditya Killekar, et al.. (2022). Calcium scoring in low-dose ungated chest CT scans using convolutional long-short term memory networks. PubMed. 12032. 115–115. 7 indexed citations

17.

Budzianowski, Jan, et al.. (2021). Beneficial effects of empagliflozin on hematocrit levels in a patient with severe anemia. DARU Journal of Pharmaceutical Sciences. 29(2). 507–510. 3 indexed citations

18.

Budzianowski, Jan, et al.. (2020). Mechanical thrombectomy for acute ischemic stroke after implantation of the CoreValve Evolut R in a degenerative bioprosthetic surgical valve. Kardiologia Polska. 78(5). 470–471. 1 indexed citations

19.

Hoffmann, Jedrzej, Silvia Mas‐Peiró, Alexander Berkowitsch, et al.. (2020). Inflammatory Signatures are Associated with Increased Mortality After Transfemoral Transcatheter Aortic Valve Implantation. ESC Heart Failure. 7(5). 2597–2610. 34 indexed citations

20.

Budzianowski, Jan, Jarosław Hiczkiewicz, Paweł Burchardt, et al.. (2018). Predictors of atrial fibrillation early recurrence following cryoballoon ablation of pulmonary veins using statistical assessment and machine learning algorithms. Heart and Vessels. 34(2). 352–359. 31 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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