Sattar Ameri

432 citations
10 papers · 267 · h-index 5

Impact in

Papers in

Sattar Ameri

10 papers receiving 264 citations

Peers

Sattar Ameri
Comparison fields: 5 of 73
  • Health Informatics 29
  • Computer Science Applications 45
  • Surgery 127
  • Computer Vision and Pattern Recognition 44
  • Biomedical Engineering 92
Replace Mahtab J. Fard with:
Mahtab J. Fard United States
Hannes Götz Kenngott Germany
Anas Amin Preukschas Germany
Vincent Bissonnette Canada
Bjarne Pfitzner Germany
Marion Blount United States
Mohammad Reza Mohebbian Canada
Kai-Chih Pai Taiwan
Yonghao Long Hong Kong
Daniela D’Auria Italy
Sattar Ameri relative to Mahtab J. Fard United States Mahtab J. Fard's profile →
Citations per field
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Mahtab J. Fard · 1×
Citations per year

Countries citing papers authored by Sattar Ameri

Since Specialization
Citations

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

Fields of papers citing papers by Sattar Ameri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Sattar Ameri, 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 Sattar Ameri Line = papers co-authored together Sattar Ameri links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2017128
2 201679
3 201635
4 20198
5 20176
6
Machine learning approach for skill evaluation in robotic-assisted surgery
20164
7
Survival Analysis Approach For Early Prediction Of Student Dropout
20153
8 20172
9
Toward personalized training and skill assessment in robotic minimally invasive surgery
20161
10
Skill Assessment and Personalized Training in Robotic-Assisted Surgery.
20161

About Sattar Ameri

Sattar Ameri is a scholar working on Surgery, Biomedical Engineering, Safety, Risk, Reliability and Quality, Management Science and Operations Research and Computer Science Applications, having authored 10 papers that have together received 267 indexed citations. Recurring topics across this work include Surgical Simulation and Training (5 papers), Anatomy and Medical Technology (4 papers), Soft Robotics and Applications (3 papers), Reliability and Maintenance Optimization (2 papers), Online Learning and Analytics (2 papers), Software Reliability and Analysis Research (2 papers), Metal Forming Simulation Techniques (1 paper) and Augmented Reality Applications (1 paper). The work is most often cited by research in Health Informatics (29 citations), Computer Science Applications (45 citations), Surgery (127 citations), Computer Vision and Pattern Recognition (44 citations) and Biomedical Engineering (92 citations). Sattar Ameri has collaborated with scholars based in United States and Iran. Frequent co-authors include Mahtab J. Fard, Ratna Babu Chinnam, R. Darin Ellis, Michael D. Klein, Abhilash K. Pandya, Chandan K. Reddy, Kyoung‐Yun Kim and Ali Zeinal Hamadani. Their work appears in journals such as IEEE Robotics and Automation Letters, International Journal of Quality & Reliability Management, Procedia Manufacturing, International Journal of Medical Robotics and Computer Assisted Surgery and World Congress on Engineering.

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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