Aldo Badano

4.5k total citations
222 papers, 2.9k citations indexed

About

Aldo Badano is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Aldo Badano has authored 222 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Radiology, Nuclear Medicine and Imaging, 82 papers in Pulmonary and Respiratory Medicine and 61 papers in Biomedical Engineering. Recurrent topics in Aldo Badano's work include Digital Radiography and Breast Imaging (78 papers), Medical Imaging Techniques and Applications (74 papers) and Advanced X-ray and CT Imaging (56 papers). Aldo Badano is often cited by papers focused on Digital Radiography and Breast Imaging (78 papers), Medical Imaging Techniques and Applications (74 papers) and Advanced X-ray and CT Imaging (56 papers). Aldo Badano collaborates with scholars based in United States, Spain and Canada. Aldo Badano's co-authors include Andreu Badal, Kyle J. Myers, Michael Flynn, Brandon D. Gallas, Josep Sempau, Diksha Sharma, Iacovos S. Kyprianou, Jerzy Kanicki, Subok Park and Robert J. Jennings and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and PLoS ONE.

In The Last Decade

Aldo Badano

214 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aldo Badano United States 26 1.8k 1.3k 1.0k 430 416 222 2.9k
Dev P. Chakraborty United States 33 2.6k 1.5× 1.8k 1.4× 1.5k 1.5× 221 0.5× 1.0k 2.4× 113 4.2k
D. Cavouras Greece 28 987 0.6× 568 0.4× 472 0.5× 750 1.7× 537 1.3× 164 2.4k
Yaoqin Xie China 29 2.0k 1.1× 568 0.4× 1.0k 1.0× 793 1.8× 459 1.1× 211 3.2k
Hans Roehrig United States 23 859 0.5× 910 0.7× 377 0.4× 82 0.2× 263 0.6× 151 1.9k
Hongbing Lu China 38 3.4k 1.9× 694 0.5× 1.9k 1.8× 218 0.5× 397 1.0× 206 4.7k
Gene Gindi United States 24 1.8k 1.0× 328 0.3× 1.0k 1.0× 506 1.2× 141 0.3× 108 2.4k
David J. Hawkes United Kingdom 31 1.8k 1.0× 988 0.8× 742 0.7× 226 0.5× 242 0.6× 137 3.9k
Michael A. King United States 40 5.1k 2.9× 449 0.4× 2.5k 2.4× 1.1k 2.6× 121 0.3× 447 5.9k
Dan Ruan United States 32 1.8k 1.0× 1.4k 1.1× 576 0.6× 1.9k 4.3× 133 0.3× 193 3.2k
Mark A. Anastasio United States 38 2.8k 1.6× 177 0.1× 3.5k 3.4× 936 2.2× 233 0.6× 326 5.0k

Countries citing papers authored by Aldo Badano

Since Specialization
Citations

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

Fields of papers citing papers by Aldo Badano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aldo Badano

This figure shows the co-authorship network connecting the top 25 collaborators of Aldo Badano. A scholar is included among the top collaborators of Aldo Badano 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 Aldo Badano. Aldo Badano 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.
Dey, Damini, Rima Arnaout, Sameer Antani, et al.. (2023). Proceedings of the NHLBI Workshop on Artificial Intelligence in Cardiovascular Imaging. JACC. Cardiovascular imaging. 16(9). 1209–1223. 16 indexed citations
2.
Lemaillet, Paul, et al.. (2023). Method for characterizing small-spot luminance in medical virtual reality headsets. Optics Continuum. 2(5). 1180–1180. 1 indexed citations
3.
Lago, Miguel A. & Aldo Badano. (2023). Adaptive Laguerre-Gauss channels for detection and search of irregularly shaped lesions. 29–29. 1 indexed citations
5.
Gallas, Brandon D., Aldo Badano, Sarah Dudgeon, et al.. (2022). FDA fosters innovative approaches in research, resources and collaboration. Nature Machine Intelligence. 4(2). 97–98. 5 indexed citations
6.
Zhao, Chumin, et al.. (2022). Spatiotemporal image quality of virtual reality head mounted displays. Scientific Reports. 12(1). 20235–20235. 11 indexed citations
7.
Beams, Ryan, et al.. (2020). Angular Dependence of the Spatial Resolution in Virtual Reality Displays. 836–841. 10 indexed citations
8.
Badano, Aldo, Paul A. Boynton, Patrick Le Callet, et al.. (2016). Technical Note: Gray tracking in medical color displays—A report of Task Group 196. Medical Physics. 43(7). 4017–4022. 2 indexed citations
9.
Ramponi, Giovanni & Aldo Badano. (2016). Method for Adapting the Grayscale Standard Display Function to the Aging Eye. Journal of Digital Imaging. 30(1). 17–25. 2 indexed citations
10.
Badano, Aldo, et al.. (2014). Analytic variance estimates of Swank and Fano factors. Medical Physics. 41(7). 72102–72102. 3 indexed citations
11.
Badano, Aldo, Melanie Freed, & Yuan Fang. (2011). Oblique incidence effects in direct x‐ray detectors: A first‐order approximation using a physics‐based analytical model. Medical Physics. 38(4). 2095–2098. 20 indexed citations
12.
Choi, Mina, et al.. (2011). 24.2: Estimating the Perceptual Limits of Mobile Displays. SID Symposium Digest of Technical Papers. 42(1). 305–308.
13.
Sechopoulos, Ioannis, Andreu Badal, Aldo Badano, et al.. (2011). WE‐G‐110‐06: Introduction to the AAPM Task Group No. 195 ‐ Monte Carlo Reference Data Sets for Imaging Research. Medical Physics. 38(6Part33). 3834–3834. 1 indexed citations
14.
Freed, Melanie, Jacco A. de Zwart, Jennifer T. Loud, et al.. (2011). An anthropomorphic phantom for quantitative evaluation of breast MRI. Medical Physics. 38(2). 743–753. 36 indexed citations
15.
Freed, Melanie, Subok Park, & Aldo Badano. (2010). A fast, angle‐dependent, analytical model of CsI detector response for optimization of 3D x‐ray breast imaging systems. Medical Physics. 37(6Part1). 2593–2605. 35 indexed citations
16.
Park, Subok, et al.. (2007). 15.2: Distinguished Paper : Assessment of Temporal Blur‐Reduction Methods Using a Computational Observer that Predicts Human Performance. SID Symposium Digest of Technical Papers. 38(1). 967–970. 1 indexed citations
17.
Badal, Andreu, Iacovos S. Kyprianou, Aldo Badano, & Josep Sempau. (2007). Monte Carlo simulation of a realistic anatomical phantom described by triangle meshes: Application to prostate brachytherapy imaging. Radiotherapy and Oncology. 86(1). 99–103. 12 indexed citations
18.
Badano, Aldo & Josep Sempau. (2006). MANTIS: combined x-ray, electron and optical Monte Carlo simulations of indirect radiation imaging systems. Physics in Medicine and Biology. 51(6). 1545–1561. 61 indexed citations
19.
Badano, Aldo, et al.. (2004). Lubberts effect in columnar phosphors. Medical Physics. 31(11). 3122–3131. 50 indexed citations
20.
Badano, Aldo, Michael Flynn, Sandrine Martin, & Jerzy Kanicki. (2003). Angular dependence of the luminance and contrast in medical monochrome liquid crystal displays. Medical Physics. 30(10). 2602–2613. 33 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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