E Ahunbay

1.5k total citations
77 papers, 1.1k citations indexed

About

E Ahunbay is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, E Ahunbay has authored 77 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Radiation, 57 papers in Radiology, Nuclear Medicine and Imaging and 30 papers in Pulmonary and Respiratory Medicine. Recurrent topics in E Ahunbay's work include Advanced Radiotherapy Techniques (64 papers), Medical Imaging Techniques and Applications (35 papers) and Radiation Therapy and Dosimetry (20 papers). E Ahunbay is often cited by papers focused on Advanced Radiotherapy Techniques (64 papers), Medical Imaging Techniques and Applications (35 papers) and Radiation Therapy and Dosimetry (20 papers). E Ahunbay collaborates with scholars based in United States and China. E Ahunbay's co-authors include X. Allen Li, Guang‐Pei Chen, Peng Cheng, Andrew Godley, E.S. Paulson, C.A. Lawton, Christopher J. Schultz, Bradley A. Erickson, Xinfeng Chen and Cheng Peng and has published in prestigious journals such as PLoS ONE, International Journal of Radiation Oncology*Biology*Physics and Magnetic Resonance in Medicine.

In The Last Decade

E Ahunbay

76 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E Ahunbay United States 19 902 813 506 185 71 77 1.1k
Louise Braban United States 9 1.0k 1.1× 983 1.2× 893 1.8× 157 0.8× 46 0.6× 12 1.3k
Bin Cai United States 19 861 1.0× 722 0.9× 552 1.1× 173 0.9× 35 0.5× 81 1.1k
H. Harold Li United States 17 997 1.1× 877 1.1× 596 1.2× 144 0.8× 24 0.3× 46 1.2k
K. Wijesooriya United States 13 1.2k 1.4× 966 1.2× 795 1.6× 320 1.7× 90 1.3× 35 1.4k
Wouter Crijns Belgium 18 850 0.9× 662 0.8× 559 1.1× 218 1.2× 32 0.5× 59 1.1k
Geert Bosmans Netherlands 18 723 0.8× 1.0k 1.3× 855 1.7× 94 0.5× 59 0.8× 28 1.4k
M. Coghe Belgium 17 865 1.0× 656 0.8× 610 1.2× 156 0.8× 80 1.1× 36 1.1k
Marta Paiusco Italy 17 841 0.9× 832 1.0× 636 1.3× 313 1.7× 41 0.6× 64 1.2k
Mu‐Han Lin United States 17 773 0.9× 658 0.8× 466 0.9× 250 1.4× 16 0.2× 104 993
K Bzdusek United States 16 892 1.0× 631 0.8× 596 1.2× 184 1.0× 22 0.3× 32 971

Countries citing papers authored by E Ahunbay

Since Specialization
Citations

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

Fields of papers citing papers by E Ahunbay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E Ahunbay

This figure shows the co-authorship network connecting the top 25 collaborators of E Ahunbay. A scholar is included among the top collaborators of E Ahunbay 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 E Ahunbay. E Ahunbay 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
1.
Parchur, Abdul K., et al.. (2025). Automated hallucination detection for synthetic CT images used in MR-only radiotherapy workflows. Physics in Medicine and Biology. 70(5). 05NT01–05NT01. 2 indexed citations
2.
Ahunbay, E, et al.. (2022). Development and implementation of an automatic air delineation technique for MRI-guided adaptive radiation therapy. Physics in Medicine and Biology. 67(14). 145011–145011. 4 indexed citations
3.
Paulson, E.S., E Ahunbay, Xinfeng Chen, et al.. (2020). 4D-MRI driven MR-guided online adaptive radiotherapy for abdominal stereotactic body radiation therapy on a high field MR-Linac: Implementation and initial clinical experience. Clinical and Translational Radiation Oncology. 23. 72–79. 92 indexed citations
4.
5.
Ahunbay, E, et al.. (2019). Indications of Online Adaptive Replanning Based On Organ Deformation. Practical Radiation Oncology. 10(2). e95–e102. 8 indexed citations
6.
Ahunbay, E, et al.. (2019). Automated air region delineation on MRI for synthetic CT creation. Physics in Medicine and Biology. 65(2). 25009–25009. 4 indexed citations
7.
Ahunbay, E, et al.. (2016). An online replanning method using warm start optimization and aperture morphing for flattening-filter-free beams. Medical Physics. 43(8Part1). 4575–4584. 11 indexed citations
8.
Chen, Guang‐Pei, E Ahunbay, & X. Allen Li. (2016). Technical Note: Development and performance of a software tool for quality assurance of online replanning with a conventional Linac or MR‐Linac. Medical Physics. 43(4). 1713–1719. 30 indexed citations
9.
Ahunbay, E, et al.. (2013). Comparison of Various Online Strategies to Account for Interfractional Variations for Pancreatic Cancer. International Journal of Radiation Oncology*Biology*Physics. 86(5). 914–921. 12 indexed citations
10.
Paulson, E.S., et al.. (2011). Internal margin assessment using cine MRI analysis of deglutition in head and neck cancer radiotherapy. Medical Physics. 38(4). 1740–1747. 16 indexed citations
11.
Cheng, Peng, Guang‐Pei Chen, E Ahunbay, et al.. (2011). Validation of an online replanning technique for prostate adaptive radiotherapy. Physics in Medicine and Biology. 56(12). 3659–3668. 20 indexed citations
12.
Li, X. Allen, Feng Liu, A. Tai, et al.. (2011). Development of an online adaptive solution to account for inter- and intra-fractional variations. Radiotherapy and Oncology. 100(3). 370–374. 31 indexed citations
13.
Ahunbay, E, et al.. (2011). Interfractional Target Variations for Partial Breast Irradiation. International Journal of Radiation Oncology*Biology*Physics. 82(5). 1594–1604. 12 indexed citations
14.
Godley, Andrew, E Ahunbay, Cheng Peng, & X. Allen Li. (2009). Automated registration of large deformations for adaptive radiation therapy of prostate cancer. Medical Physics. 36(4). 1433–1441. 45 indexed citations
15.
Ahunbay, E, Peng Cheng, Guang‐Pei Chen, et al.. (2008). An on-line replanning scheme for interfractional variationsa). Medical Physics. 35(8). 3607–3615. 102 indexed citations
16.
Ahunbay, E, et al.. (2007). Direct aperture optimization–based intensity-modulated radiotherapy for whole breast irradiation. International Journal of Radiation Oncology*Biology*Physics. 67(4). 1248–1258. 53 indexed citations
17.
Patel, Neil, Sou‐Tung Chiu‐Tsao, E Ahunbay, et al.. (2001). Treatment planning dosimetric parameters for a 90Y coil source used in intravascular brachytherapy. PubMed. 2(2). 83–92. 10 indexed citations
18.
Ahunbay, E & James G. Pipe. (2000). Rapid method for deblurring spiral MR images. Magnetic Resonance in Medicine. 44(3). 491–494. 28 indexed citations
19.
Pipe, James G., E Ahunbay, & P. K. Menon. (1999). Effects of interleaf order for spiral MRI of dynamic processes. Magnetic Resonance in Medicine. 41(2). 417–422. 19 indexed citations
20.
Pipe, James G., E Ahunbay, & P. K. Menon. (1999). Effects of interleaf order for spiral MRI of dynamic processes. Magnetic Resonance in Medicine. 41(2). 417–422. 1 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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