Ehsan Samei

19.1k citations
615 papers · 14.8k · 1 hit paper · h-index 61

Impact in

Papers in

Ehsan Samei

586 papers receiving 14.4k citations

Ehsan Samei's Hit Papers

A method for measuring the presampled MTF of digital radiographic systems using an edge test device 1998 · 624 citations
6240+9+18Years since publication200400600

Peers

Ehsan Samei
Comparison fields: 5 of 166
  • Radiology, Nuclear Medicine and Imaging 8.4k
  • Pulmonary and Respiratory Medicine 4.7k
  • Biomedical Engineering 6.5k
  • Radiation 1.2k
  • Health Informatics 100
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Countries citing papers authored by Ehsan Samei

Since Specialization
Citations

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

Fields of papers citing papers by Ehsan Samei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ehsan Samei, 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 Ehsan Samei Line = papers co-authored together Ehsan Samei links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 615 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A method for measuring the presampled MTF of digital radiographic systems using an edge test device
Hit paper breakdown →
1998624
2 2009446
3 2012348
4 2005320
5 2003232
6 2012231
7 2019230
8 2019215
9 2009203
10 1999185
11 2013181
12 2006175
13 2020170
14 2014167
15 2006156
16 2008152
17 2020151
18 2006143
19 2015141
20 2010131

About Ehsan Samei

Ehsan Samei is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Biomedical Engineering, Radiation and Artificial Intelligence, having authored 615 papers that have together received 14.8k indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (266 papers), Radiation Dose and Imaging (243 papers), Medical Imaging Techniques and Applications (197 papers), Digital Radiography and Breast Imaging (191 papers), Radiomics and Machine Learning in Medical Imaging (61 papers), AI in cancer detection (42 papers), Advanced Radiotherapy Techniques (32 papers) and Lung Cancer Diagnosis and Treatment (28 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (8.4k citations), Pulmonary and Respiratory Medicine (4.7k citations), Biomedical Engineering (6.5k citations), Radiation (1.2k citations) and Health Informatics (100 citations). Ehsan Samei has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Justin Solomon, Michael J. Flynn, W. Paul Segars, Samuel Richard, Daniele Marin, Rendon C. Nelson, James T. Dobbins, Michael J. Flynn, David A. Reimann and Robert S. Saunders. Their work appears in journals such as Medical Physics, Radiology, Physics in Medicine and Biology, American Journal of Roentgenology and Academic Radiology.

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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