Eric Aliotta

1.1k total citations
41 papers, 763 citations indexed

About

Eric Aliotta is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Eric Aliotta has authored 41 papers receiving a total of 763 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Radiation and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Eric Aliotta's work include Advanced MRI Techniques and Applications (17 papers), Advanced Neuroimaging Techniques and Applications (17 papers) and MRI in cancer diagnosis (14 papers). Eric Aliotta is often cited by papers focused on Advanced MRI Techniques and Applications (17 papers), Advanced Neuroimaging Techniques and Applications (17 papers) and MRI in cancer diagnosis (14 papers). Eric Aliotta collaborates with scholars based in United States, United Kingdom and Netherlands. Eric Aliotta's co-authors include Daniel B. Ennis, Kévin Moulin, Holden H. Wu, Ghassan S. Kassab, Kevin L. Sack, Julius M. Guccione, Thomas Franz, Jenny S. Choy, Sohil H. Patel and Jeffrey L. Ardell and has published in prestigious journals such as Journal of the American College of Cardiology, International Journal of Radiation Oncology*Biology*Physics and Magnetic Resonance in Medicine.

In The Last Decade

Eric Aliotta

38 papers receiving 761 citations

Peers

Countries citing papers authored by Eric Aliotta

Since Specialization

Citations

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

Fields of papers citing papers by Eric Aliotta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Aliotta

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Aliotta. A scholar is included among the top collaborators of Eric Aliotta 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 Eric Aliotta. Eric Aliotta 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 and monitoring response to head and neck cancer radiotherapy using multimodality imaging and radiobiological digital twin simulations 2025 ·Physics in Medicine and Biology ·Eric Aliotta, (unknown), Ramesh Paudyal, Milan Grkovski, Bill H. Diplas, James E. Han, Vaios Hatzoglou, Michalis Aristophanous, Nadeem Riaz, Heiko Schöder, Nancy Y. Lee, Amita Shukla‐Dave, Joseph O. Deasy	0
2	Characterizing the motion management system accuracy on a 1.5T MR-Linac 2025 ·Physica Medica ·(unknown), (unknown), (unknown), (unknown), Eric Aliotta, James Mechalakos, Lakshmi Santanam, Neelam Tyagi, Seng Boh Lim	0
3	Predicting radiation‐induced immune suppression in lung cancer patients treated with stereotactic body radiation therapy 2024 ·Medical Physics ·(unknown), (unknown), (unknown), Eric Aliotta, (unknown), (unknown), (unknown), (unknown), Timothy N. Showalter, Paul W. Read, James M. Larner, K. Wijesooriya	4
4	Reduced-distortion diffusion weighted imaging for head and neck radiotherapy 2024 ·Physics and Imaging in Radiation Oncology ·Eric Aliotta, Ramesh Paudyal, (unknown), Amita Shukla‐Dave, Nancy Y. Lee, Laura Cerviño, Ricardo Otazo, Victoria Yu	1
5	Automatic segmentation for magnetic resonance imaging guided individual elective lymph node irradiation in head and neck cancer patients 2024 ·Physics and Imaging in Radiation Oncology ·(unknown), M.H.F. Savenije, Mischa de Ridder, Matteo Maspero, Patricia Doornaert, Chris H.J. Terhaard, Cornelis P.J. Raaijmakers, Kaveh Zakeri, Nancy Y. Lee, Eric Aliotta, (unknown), (unknown), M.E.P. Philippens	2
6	Automated tracking of morphologic changes in weekly magnetic resonance imaging during head and neck radiotherapy 2023 ·Journal of Applied Clinical Medical Physics ·Eric Aliotta, Yu‐Chi Hu, Peng Zhang, (unknown), A. Caringi, (unknown), C. Jillian Tsai, Kaveh Zakeri, Nancy Y. Lee, Pengpeng Zhang, Laura Cerviño, Michalis Aristophanous	6
7	The future of MRI in radiation therapy: Challenges and opportunities for the MR community 2022 ·Magnetic Resonance in Medicine ·(unknown), M.E.P. Philippens, Thierry Lefebvre, (unknown), (unknown), (unknown), David E. J. Waddington, (unknown), Eric Aliotta, (unknown), T. Stanescu, (unknown), (unknown), Andreas Wetscherek, Uwe Oelfke, (unknown), Ralph P. Mason, Petra J. van Houdt, James M. Balter, Oliver J. Gurney‐Champion	25
8	Dose differentiated high-dose-rate prostate brachytherapy: a feasibility assessment of MRI-guided dose escalation to dominant intra-prostatic lesions 2022 ·Journal of Contemporary Brachytherapy ·(unknown), (unknown), Eric Aliotta, (unknown), David J. Cousins, Timothy N. Showalter, Bruce Libby	1
9	Clinical Outcomes and Predictors of Lung Toxicity After Multiple Courses of Lung Stereotactic Body Radiotherapy for Early-Stage Non–Small Cell Lung Cancer 2020 ·Clinical Lung Cancer ·(unknown), Sunil W. Dutta, Eric Aliotta, (unknown), K. Wijesooriya, (unknown), James M. Larner	9
10	Intracranial disease control for EGFR-mutant and ALK-rearranged lung cancer with large volume or symptomatic brain metastases 2020 ·Journal of Neuro-Oncology ·Sunil W. Dutta, Marie Mack, Eric Aliotta, (unknown), (unknown), James M. Larner, Camilo E. Fadul, Richard D. Hall, Ryan D. Gentzler, Jason P. Sheehan	9
11	Quantifying the dosimetric impact of organ-at-risk delineation variability in head and neck radiation therapy in the context of patient setup uncertainty 2019 ·Physics in Medicine and Biology ·Eric Aliotta, (unknown), Jeffrey V. Siebers	12
12	Molecular Subtype Classification in Lower-Grade Glioma with Accelerated DTI 2019 ·American Journal of Neuroradiology ·Eric Aliotta, (unknown), Prem P. Batchala, David Schiff, M. Beatriz S. Lopes, T. Jason Druzgal, Sugoto Mukherjee, Sohil H. Patel	22
13	Increased intratumoral infiltration in IDH wild-type lower-grade gliomas observed with diffusion tensor imaging 2019 ·Journal of Neuro-Oncology ·Eric Aliotta, Prem P. Batchala, David Schiff, Beatriz Lopes, (unknown), Sugoto Mukherjee, Sohil H. Patel	6
14	Effect of flow‐encoding strength on intravoxel incoherent motion in the liver 2018 ·Magnetic Resonance in Medicine ·Kévin Moulin, Eric Aliotta, Daniel B. Ennis	23
15	Quantifying precision in cardiac diffusion tensor imaging with second‐order motion‐compensated convex optimized diffusion encoding 2018 ·Magnetic Resonance in Medicine ·Eric Aliotta, Kévin Moulin, (unknown), Daniel B. Ennis	26
16	Time resolved displacement-based registration of in vivo cDTI cardiomyocyte orientations 2018 ·PubMed ·(unknown), (unknown), Eric Aliotta, Daniel B. Ennis, Luigi E. Perotti	4
17	Construction and Validation of Subject-Specific Biventricular Finite-Element Models of Healthy and Failing Swine Hearts From High-Resolution DT-MRI 2018 ·Frontiers in Physiology ·Kevin L. Sack, Eric Aliotta, Daniel B. Ennis, Jenny S. Choy, Ghassan S. Kassab, Julius M. Guccione, Thomas Franz	65
18	Microstructurally Anchored Cardiac Kinematics by Combining In Vivo DENSE MRI and cDTI 2017 ·Lecture notes in computer science ·Luigi E. Perotti, (unknown), (unknown), Eric Aliotta, Kévin Moulin, Daniel B. Ennis	9
19	Assessment of Myocardial Microstructural Dynamics by In Vivo Diffusion Tensor Cardiac Magnetic Resonance 2017 ·Journal of the American College of Cardiology ·Sònia Nielles‐Vallespin, Zohya Khalique, Pedro Ferreira, Ranil de Silva, Andrew D. Scott, Philip J. Kilner, (unknown), Archontis Giannakidis, Peter Gatehouse, Daniel B. Ennis, Eric Aliotta, (unknown), Peter Kellman, Dumitru Mazilu, Robert S. Balaban, David Firmin, Andrew E. Arai, Dudley J. Pennell	163
20	RapidArc patient specific mechanical delivery accuracy under extreme mechanical limits using linac log files 2012 ·Medical Physics ·K. Wijesooriya, Eric Aliotta, Stanley Benedict, Paul W. Read, Tyvin A. Rich, James M. Larner	23

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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