Ramin Shahidi

60 papers receiving 1.1k citations

Peers

Ramin Shahidi
Comparison fields: 5 of 116
  • Health Informatics 33
  • Computer Vision and Pattern Recognition 334
  • Surgery 467
  • Computer Graphics and Computer-Aided Design 34
  • Radiology, Nuclear Medicine and Imaging 185
Replace Alexander Seitel with:
Alexander Seitel Germany
Greg Osgood United States
Yoshikazu Nakajima Japan
Ekkehard Euler Germany
Cristian Lorenz Germany
Ken Masamune Japan
Min Suk Chung South Korea
Draženko Babić Netherlands
Yoshito Otake Japan
Pietro Cerveri Italy
Ramin Shahidi relative to Alexander Seitel Germany Alexander Seitel's profile →
Citations per field
00.5×3.4×
Alexander Seitel · 1×
Citations per year

Countries citing papers authored by Ramin Shahidi

Since Specialization
Citations

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

Fields of papers citing papers by Ramin Shahidi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000142
2
Coronary artery disease: metabolic risk factors and latent disease in individuals with paraplegia.
1992123
3 2000121
4 2002121
5 2005102
6 200674
7 200642
8 200232
9 199828
10 200327
11 200826
12 202323
13 200818
14 200518
15 202317
16 200717
17 200215
18 202414
19 199912
20 202312

About Ramin Shahidi

Ramin Shahidi is a scholar working on Surgery, Computer Vision and Pattern Recognition, Biomedical Engineering, Neurology and Pulmonary and Respiratory Medicine, having authored 65 papers that have together received 1.2k indexed citations. Recurring topics across this work include Surgical Simulation and Training (11 papers), Augmented Reality Applications (11 papers), Anatomy and Medical Technology (10 papers), COVID-19 Clinical Research Studies (7 papers), Spinal Fractures and Fixation Techniques (7 papers), Long-Term Effects of COVID-19 (6 papers), Computer Graphics and Visualization Techniques (6 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). The work is most often cited by research in Health Informatics (33 citations), Computer Vision and Pattern Recognition (334 citations), Surgery (467 citations), Computer Graphics and Computer-Aided Design (34 citations) and Radiology, Nuclear Medicine and Imaging (185 citations). Ramin Shahidi has collaborated with scholars based in United States, Iran and Germany. Frequent co-authors include Michael R. Bax, Jeremy A. Johnson, Eric P. Wilkinson, Calvin R. Maurer, Clement Yeh, Michael Figl, Johann Hummel, Wolfgang Birkfellner, Helmar Bergmann and Steffen K. Rosahl. Their work appears in journals such as Computer Aided Surgery, Operative Neurosurgery, Infectious Disorders - Drug Targets, Medical Physics and Scientific Reports.

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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