Sam Sedaghat

34 papers receiving 394 citations

Peers

Sam Sedaghat
Comparison fields: 5 of 56
  • Health Informatics 116
  • Radiology, Nuclear Medicine and Imaging 86
  • Pulmonary and Respiratory Medicine 106
  • Family Practice 6
  • Complementary and Manual Therapy 7
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Kongkrit Chaiyasate United States
Janardhana Ponnatapura United States
Tatum A. McArthur United States
Rachel Kuo United Kingdom
Felix G. Gassert Germany
Shah H.M. Khan United Kingdom
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Citations per year

Countries citing papers authored by Sam Sedaghat

Since Specialization
Citations

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

Fields of papers citing papers by Sam Sedaghat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2023116
2 202019
3 202017
4 202017
5 202416
6 202115
7 202115
8 202015
9 201914
10 202113
11 202113
12 202311
13 202410
14 202010
15 202310
16 20239
17 20249
18 20239
19 20247
20
Biomechanical analysis of temporomandibular joint dynamics based on real-time magnetic resonance imaging.
20207

About Sam Sedaghat

Sam Sedaghat is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Health Informatics and Rheumatology, having authored 39 papers that have together received 399 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (11 papers), Advanced X-ray and CT Imaging (5 papers), COVID-19 diagnosis using AI (5 papers), Artificial Intelligence in Healthcare and Education (5 papers), Medical Imaging and Analysis (3 papers), Bone Tumor Diagnosis and Treatments (2 papers), Photoacoustic and Ultrasonic Imaging (2 papers) and Bone health and osteoporosis research (2 papers). The work is most often cited by research in Health Informatics (116 citations), Radiology, Nuclear Medicine and Imaging (86 citations), Pulmonary and Respiratory Medicine (106 citations), Family Practice (6 citations) and Complementary and Manual Therapy (7 citations). Sam Sedaghat has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Olav Jansen, Marcus Both, V. Nicolas, Hyungseok Jang, Mona Salehi Ravesh, Sebastian Krohn, Hans‐Ulrich Kauczor, Graeme M. Campbell, Arne Streitbürger and Fabian Schmitz. Their work appears in journals such as European Journal of Radiology, RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, Journal of Cranio-Maxillofacial Surgery, Scientific Reports and BMC Cancer.

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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