Saikiran Rapaka

2.4k total citations · 2 hit papers
38 papers, 1.5k citations indexed

About

Saikiran Rapaka is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computational Mechanics. According to data from OpenAlex, Saikiran Rapaka has authored 38 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Biomedical Engineering and 9 papers in Computational Mechanics. Recurrent topics in Saikiran Rapaka's work include Cardiac Imaging and Diagnostics (13 papers), Lattice Boltzmann Simulation Studies (8 papers) and Advanced X-ray and CT Imaging (7 papers). Saikiran Rapaka is often cited by papers focused on Cardiac Imaging and Diagnostics (13 papers), Lattice Boltzmann Simulation Studies (8 papers) and Advanced X-ray and CT Imaging (7 papers). Saikiran Rapaka collaborates with scholars based in United States, Germany and Romania. Saikiran Rapaka's co-authors include Chris Schwemmer, Shiyi Chen, Puneet Sharma, U. Joseph Schoepf, Lucian Itu, Max Schöebinger, Dorin Comaniciu, Rajesh Pawar, Bogdan Georgescu and Tiziano Passerini and has published in prestigious journals such as Journal of the American College of Cardiology, Journal of Fluid Mechanics and Stroke.

In The Last Decade

Saikiran Rapaka

35 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Diagnostic Accuracy of a Machine-Learning Approach to Coronary Computed Tomographic Angiography–Based Fractional Flow Reserve

2018 271 citations Christian Tesche, Saikiran Rapaka et al. profile →
A machine-learning approach for computation of fractional flow reserve from coronary computed tomography

2016 268 citations Lucian Itu, Saikiran Rapaka et al. profile →

Peers

Countries citing papers authored by Saikiran Rapaka

Since Specialization

Citations

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

Fields of papers citing papers by Saikiran Rapaka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saikiran Rapaka

This figure shows the co-authorship network connecting the top 25 collaborators of Saikiran Rapaka. A scholar is included among the top collaborators of Saikiran Rapaka 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 Saikiran Rapaka. Saikiran Rapaka 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

#	Work	Indexed citations
1	Predicting mortality after transcatheter aortic valve replacement using AI-based fully automated left atrioventricular coupling index 2025 ·Journal of cardiovascular computed tomography ·Emese Zsarnóczay, Ákos Varga‐Szemes, U. Joseph Schoepf, Saikiran Rapaka, (unknown), Gilberto J. Aquino, (unknown), Milán Vecsey-Nagy, (unknown), Dmitrij Kravchenko, Muhammad Taha Hagar, Nicholas Amoroso, Daniel Steinberg, (unknown), Jim O’Doherty, Puneet Sharma, Pál Maurovich‐Horvat, Tilman Emrich	4
2	Artificial Intelligence Provides Accurate Quantification of Thoracic Aortic Enlargement and Dissection in Chest CT 2024 ·Diagnostics ·Nicola Fink, (unknown), U. Joseph Schoepf, Emese Zsarnóczay, (unknown), Milán Vecsey-Nagy, Saikiran Rapaka, Puneet Sharma, Jim O’Doherty, Jens Ricke, Ákos Varga‐Szemes, Tilman Emrich	2
3	Fully Automated Assessment of Cardiac Chamber Volumes and Myocardial Mass on Non-Contrast Chest CT with a Deep Learning Model: Validation Against Cardiac MR 2024 ·Diagnostics ·(unknown), Christopher L. Schlett, Jonathan I. Sperl, Saikiran Rapaka, (unknown), Manuel Hein, Muhammad Taha Hagar, Philipp Ruile, Dirk Westermann, Martin Soschynski, Fabian Bamberg, (unknown)	0
4	Artificial Intelligence Improves Prediction of Major Adverse Cardiovascular Events in Patients Undergoing Transcatheter Aortic Valve Replacement Planning CT 2024 ·Academic Radiology ·(unknown), Milán Vecsey-Nagy, U. Joseph Schoepf, Emese Zsarnóczay, Gilberto J. Aquino, Dmitrij Kravchenko, Andrea Laghi, (unknown), Puneet Sharma, Saikiran Rapaka, Jim O’Doherty, Pál Surányi, Ismail Kabakus, Nicholas Amoroso, Daniel Steinberg, (unknown), Ákos Varga‐Szemes	2
5	Impact of retraining a deep learning algorithm for improving guideline-compliant aortic diameter measurements on non-gated chest CT 2023 ·European Journal of Radiology ·(unknown), (unknown), Martin Segeroth, Jonathan I. Sperl, Joshy Cyriac, Shan Yang, Saikiran Rapaka, Jens Bremerich, Alexander Sauter, Maurice Pradella	4
6	AI-based, automated chamber volumetry from gated, non-contrast CT 2023 ·Journal of cardiovascular computed tomography ·(unknown), Ola Abdelkarim, (unknown), Kristian Kragholm, (unknown), Myra Cocker, (unknown), Jim O’Doherty, Max Schöebinger, Chris Schwemmer, Mehmet Gulsun, Saikiran Rapaka, Puneet Sharma, (unknown)	5
7	Normalizing Flows for Out-of-Distribution Detection: Application to Coronary Artery Segmentation 2022 ·Applied Sciences ·(unknown), Lucian Itu, Serkan Çimen, Michael Wels, Chris Schwemmer, (unknown), (unknown), Florian André, Sebastian J. Buss, (unknown), Saikiran Rapaka	1
8	AI-BASED CARDIAC CHAMBER ANALYSIS FROM NON-CONTRAST, GATED CARDIAC CT 2022 ·Journal of the American College of Cardiology ·(unknown), Ola Abdelkarim, (unknown), Myra Cocker, (unknown), (unknown), Diana Tran, Max Schöebinger, Chris Schwemmer, Mehmet Gulsun, Saikiran Rapaka, Puneet Sharma, Su Min Chang	2
9	Prediction of Patient Management in COVID-19 Using Deep Learning-Based Fully Automated Extraction of Cardiothoracic CT Metrics and Laboratory Findings 2021 ·Korean Journal of Radiology ·Thomas Weikert, Saikiran Rapaka, Saša Grbić, Thomas J. Re, Shikha Chaganti, David Winkel, Constantin Anastasopoulos, Tilo Niemann, Benedikt Wiggli, Jens Bremerich, Raphael Twerenbold, Gregor Sommer, Dorin Comaniciu, Alexander Sauter	13
10	Performance of an Artificial Intelligence-Based Platform Against Clinical Radiology Reports for the Evaluation of Noncontrast Chest CT 2021 ·Academic Radiology ·(unknown), Ismail Kabakus, U. Joseph Schoepf, (unknown), Andreas Fischer, Julian L. Wichmann, John Martinez, Puneet Sharma, Saikiran Rapaka, Pooyan Sahbaee, (unknown), Jeremy R. Burt, Ákos Varga‐Szemes, Tilman Emrich	12
11	Automated detection of lung nodules and coronary artery calcium using artificial intelligence on low-dose CT scans for lung cancer screening: accuracy and prognostic value 2021 ·BMC Medicine ·(unknown), Madison Kocher, (unknown), (unknown), (unknown), Joseph Stephenson, Pooyan Sahbaee, Puneet Sharma, Saikiran Rapaka, U. Joseph Schoepf, Andres F. Abadia, Jonathan I. Sperl, (unknown), (unknown), (unknown), Gilberto J. Aquino, Jeremy R. Burt	95
12	Personalized Pre- and Post-Operative Hemodynamic Assessment of Aortic Coarctation from 3D Rotational Angiography 2021 ·Cardiovascular Engineering and Technology ·(unknown), (unknown), (unknown), Lucian Itu, Viorel Mihalef, Gouthami Chintalapani, Aimee K. Armstrong, Jeffrey D. Zampi, Lee Benson, Puneet Sharma, Saikiran Rapaka	4
13	An Automated Workflow for Hemodynamic Computations in Cerebral Aneurysms 2020 ·Computational and Mathematical Methods in Medicine ·(unknown), Takashi Suzuki, Lucian Itu, Viorel Mihalef, Hiroyuki Takao, Yuichi Murayama, Puneet Sharma, Thomas Redel, Saikiran Rapaka	3
14	Automatic coronary calcium scoring in chest CT using a deep neural network in direct comparison with non-contrast cardiac CT: A validation study 2020 ·European Journal of Radiology ·Marly van Assen, Simon S. Martin, Ákos Varga‐Szemes, Saikiran Rapaka, Serkan Çimen, Puneet Sharma, Pooyan Sahbaee, Carlo N. De Cecco, (unknown), (unknown), Jeremy R. Burt, U. Joseph Schoepf	51
15	Machine Learning and Coronary Artery Calcium Scoring 2020 ·Current Cardiology Reports ·Heon Lee, Simon S. Martin, Jeremy R. Burt, (unknown), Saikiran Rapaka, (unknown), (unknown), Chris Schwemmer, U. Joseph Schoepf	26
16	Coronary CT Angiography–derived Fractional Flow Reserve: Machine Learning Algorithm versus Computational Fluid Dynamics Modeling 2018 ·Radiology ·Christian Tesche, Carlo N. De Cecco, Stefan Baumann, Matthias Renker, (unknown), Taylor M. Duguay, Richard R. Bayer, Daniel Steinberg, Katharine L. Grant, Christian Canstein, Chris Schwemmer, Max Schöebinger, Lucian Itu, Saikiran Rapaka, Puneet Sharma, U. Joseph Schoepf	170
17	Comprehensive preclinical evaluation of a multi-physics model of liver tumor radiofrequency ablation 2017 ·International Journal of Computer Assisted Radiology and Surgery ·(unknown), Tommaso Mansi, Hervé Delingette, Saikiran Rapaka, Tiziano Passerini, Viorel Mihalef, Marie‐Pierre Jolly, Raoul Pop, Michèle Diana, Luc Soler, Ali Kamen, Dorin Comaniciu, Nicholas Ayache	11
18	Challenges to Validate Multi-physics Model of Liver Tumor Radiofrequency Ablation from Pre-clinical Data 2015 ·HAL (Le Centre pour la Communication Scientifique Directe) ·(unknown), Tommaso Mansi, Hervé Delingette, Saikiran Rapaka, Tiziano Passerini, Viorel Mihalef, (unknown), Michèle Diana, (unknown), Ali Kamen, Dorin Comaniciu, (unknown)	1
19	Data-driven estimation of cardiac electrical diffusivity from 12-lead ECG signals 2014 ·Medical Image Analysis ·Oliver Zettinig, Tommaso Mansi, Dominik Neumann, Bogdan Georgescu, Saikiran Rapaka, Philipp Seegerer, Elham Kayvanpour, Farbod Sedaghat‐Hamedani, Ali Amr, Jan Haas, Henning Steen, Hugo A. Katus, Benjamin Meder, Nassir Navab, Ali Kamen, Dorin Comaniciu	36
20	Lattice Boltzmann Method for Fast Patient-Specific Simulation of Liver Tumor Ablation from CT Images 2013 ·Lecture notes in computer science ·(unknown), Tommaso Mansi, Hervé Delingette, Saikiran Rapaka, Viorel Mihalef, Puneet Sharma, (unknown), Emad M. Boctor, Michael A. Choti, Ali Kamen, Dorin Comaniciu, Nicholas Ayache	15

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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