Eric Aliotta

1.1k citations
43 papers · 782 · h-index 15

Impact in

Papers in

    • Advanced Neuroimaging Techniques and Applications 13
    • Advanced MRI Techniques and Applications 11
    • MRI in cancer diagnosis 8
    • Medical Imaging Techniques and Applications 3
    • Advanced Radiotherapy Techniques 11

Eric Aliotta

38 papers receiving 780 citations

Peers

Eric Aliotta
Comparison fields: 5 of 64
  • Radiology, Nuclear Medicine and Imaging 385
  • Cardiology and Cardiovascular Medicine 248
  • Computational Mathematics 6
  • Radiation 76
  • Genetics 38
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Eric Aliotta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eric Aliotta Line = papers co-authored together Eric Aliotta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017166
2 201687
3 201868
4 201749
5 201735
6 201634
7 202229
8 201826
9 202025
10 201223
11 201923
12 201823
13 201922
14 202021
15 202016
16 201912
17 201910
18 20209
19 20179
20 20209

About Eric Aliotta

Eric Aliotta is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Biomedical Engineering, having authored 43 papers that have together received 782 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (13 papers), Advanced Radiotherapy Techniques (11 papers), Advanced MRI Techniques and Applications (11 papers), MRI in cancer diagnosis (8 papers), Head and Neck Cancer Studies (3 papers), Medical Imaging Techniques and Applications (3 papers), Cardiovascular Function and Risk Factors (3 papers) and Cardiac Structural Anomalies and Repair (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (385 citations), Cardiology and Cardiovascular Medicine (248 citations), Computational Mathematics (6 citations), Radiation (76 citations) and Genetics (38 citations). Eric Aliotta has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Daniel B. Ennis, Kévin Moulin, Holden H. Wu, Thomas Franz, Kevin L. Sack, Julius M. Guccione, Jenny S. Choy, Ghassan S. Kassab, Sohil H. Patel and Olujimi A. Ajijola. Their work appears in journals such as Magnetic Resonance in Medicine, Medical Physics, Journal of Neuro-Oncology, Physics and Imaging in Radiation Oncology and International Journal of Radiation Oncology*Biology*Physics.

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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