Manuel Arreola

712 total citations
47 papers, 536 citations indexed

About

Manuel Arreola is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Manuel Arreola has authored 47 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Radiology, Nuclear Medicine and Imaging, 27 papers in Biomedical Engineering and 24 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Manuel Arreola's work include Radiation Dose and Imaging (31 papers), Advanced X-ray and CT Imaging (26 papers) and Digital Radiography and Breast Imaging (19 papers). Manuel Arreola is often cited by papers focused on Radiation Dose and Imaging (31 papers), Advanced X-ray and CT Imaging (26 papers) and Digital Radiography and Breast Imaging (19 papers). Manuel Arreola collaborates with scholars based in United States, Mexico and Belgium. Manuel Arreola's co-authors include Lynn Rill, Wesley E. Bolch, David E. Hintenlang, R Staton, Robert A. Vander Griend, Brian L. Badman, Choonik Lee, Libby Brateman, Choonsik Lee and Frank J. Bova and has published in prestigious journals such as Journal of Bone and Joint Surgery, Radiology and The Journal of Urology.

In The Last Decade

Manuel Arreola

43 papers receiving 512 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manuel Arreola United States 14 419 251 156 134 99 47 536
Gilbert G. Stamm Germany 10 563 1.3× 406 1.6× 153 1.0× 120 0.9× 58 0.6× 21 727
Artur Omar Sweden 12 288 0.7× 240 1.0× 124 0.8× 87 0.6× 153 1.5× 25 483
E. Koulentianos Greece 10 225 0.5× 78 0.3× 105 0.7× 117 0.9× 28 0.3× 14 333
C. Étard France 13 415 1.0× 241 1.0× 126 0.8× 40 0.3× 95 1.0× 34 497
Erin Angel United States 15 984 2.3× 745 3.0× 318 2.0× 152 1.1× 164 1.7× 37 1.1k
Ioannis Pantos Greece 15 492 1.2× 258 1.0× 196 1.3× 276 2.1× 28 0.3× 39 783
İbrahim Yel Germany 18 567 1.4× 641 2.6× 60 0.4× 174 1.3× 15 0.2× 80 855
P Bellinck Belgium 6 374 0.9× 291 1.2× 103 0.7× 85 0.6× 13 0.1× 11 452
Ranish Deedar Ali Khawaja United States 13 544 1.3× 430 1.7× 143 0.9× 63 0.5× 21 0.2× 32 649
Frank N. Ranallo United States 12 434 1.0× 353 1.4× 160 1.0× 63 0.5× 24 0.2× 27 589

Countries citing papers authored by Manuel Arreola

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Arreola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuel Arreola

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Arreola. A scholar is included among the top collaborators of Manuel Arreola 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 Manuel Arreola. Manuel Arreola 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.
Khanna, Anna, et al.. (2025). Clinical utility of consecutive volume scanning dual‐energy CT in differentiating hemorrhage from contrast staining in ischemic stroke patients. Journal of Applied Clinical Medical Physics. 26(9). e70209–e70209. 1 indexed citations
2.
Stoddard, Gregory J., et al.. (2025). Assessment of a New CT Detector and Filtration Technology: Part 2—Image Quality in Phantoms, Cadavers, and Patients. Journal of Computer Assisted Tomography. 49(4). 631–639. 1 indexed citations
3.
Pierre, Kevin, Bruno Hochhegger, Keith Peters, et al.. (2023). Introduction to Radiomics and Artificial Intelligence: A Primer for Radiologists. Seminars in Roentgenology. 58(2). 152–157. 7 indexed citations
4.
Arreola, Manuel, et al.. (2022). Characterization of time of flight and resolution modeling on image quality in positron emission tomography. Journal of Applied Clinical Medical Physics. 23(10). e13751–e13751. 4 indexed citations
5.
Verma, Nupur, et al.. (2021). Comparison of CT image quality between the AIDR 3D and FIRST iterative reconstruction algorithms: an assessment based on phantom measurements and clinical images. Physics in Medicine and Biology. 66(12). 125002–125002. 9 indexed citations
6.
Dean, Cooper W., et al.. (2020). Comparison of metal artifact reduction using single-energy CT and dual-energy CT with various metallic implants in cadavers. European Journal of Radiology. 133. 109357–109357. 21 indexed citations
7.
Rill, Lynn, et al.. (2019). Impact of patient centering in CT on organ dose and the effect of using a positioning compensation system: Evidence from OSLD measurements in postmortem subjects. Journal of Applied Clinical Medical Physics. 20(6). 141–151. 20 indexed citations
8.
Brennan, Meghan, William R. Stetler, Adam Polifka, et al.. (2017). The Patient Size Setting: A Novel Dose Reduction Strategy in Cerebral Endovascular Neurosurgery Using Biplane Fluoroscopy. World Neurosurgery. 110. e636–e641. 1 indexed citations
9.
Rill, Lynn, et al.. (2016). SU‐F‐SPS‐03: Direct Measurement of Organ Doses Resulting From Head and Cervical Spine Trauma CT Protocols. Medical Physics. 43(6Part4). 3350–3351. 1 indexed citations
10.
Rill, Lynn, et al.. (2015). SU-E-I-28: Introduction and Investigation of Effective Diameter Ratios as a New Patient Size Metric for Use in CT. Medical Physics. 42(6Part6). 3247–3248. 2 indexed citations
11.
Ghita, Monica, et al.. (2011). CHARACTERIZATION OF A COMMERCIALLY-AVAILABLE, OPTICALLY-STIMULATED LUMINESCENT DOSIMETRY SYSTEM FOR USE IN COMPUTED TOMOGRAPHY. Health Physics. 101(3). 299–310. 20 indexed citations
12.
Staton, R, et al.. (2007). Organ and effective doses in infants undergoing upper gastrointestinal (UGI) fluoroscopic examination. Medical Physics. 34(2). 703–710. 14 indexed citations
13.
Gaona, Enrique, et al.. (2006). Quality Imaging — Comparison of CR Mammography with Screen-Film Mammography. AIP conference proceedings. 854. 227–229.
14.
15.
Staton, R, A. Kyle Jones, Choonik Lee, et al.. (2006). A tomographic physical phantom of the newborn child with real-time dosimetry. II. Scaling factors for calculation of mean organ dose in pediatric radiography. Medical Physics. 33(9). 3274–3274. 19 indexed citations
16.
Gaona, Enrique, et al.. (2005). Utilidad clínica de los programas de control de calidad en mamografía. 4(2). 133–140. 1 indexed citations
17.
Arreola, Manuel & Lynn Rill. (2004). Management of pediatric radiation dose using Canon digital radiography. Pediatric Radiology. 34(S3). S221–S226. 4 indexed citations
18.
Rill, Lynn, Libby Brateman, & Manuel Arreola. (2003). Evaluating radiographic parameters for mobile chest computed radiography: Phantoms, image quality and effective dose. Medical Physics. 30(10). 2727–2735. 12 indexed citations
19.
Hintenlang, David E., et al.. (2002). Comparisons of point and average organ dose within an anthropomorphic physical phantom and a computational model of the newborn patient. Medical Physics. 29(6). 1080–1089. 28 indexed citations
20.
Huda, Walter, Manuel Arreola, & Zhenxue Jing. (1995). <title>Computed radiography acceptance testing</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2432. 512–521. 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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