Danyal Fer

20 papers receiving 351 citations

Peers

Danyal Fer
Comparison fields: 5 of 59
  • Health Informatics 16
  • Neurology 66
  • Epidemiology 108
  • Cognitive Neuroscience 62
  • Surgery 128
Replace Hedyeh Rafii-Tari with:
Hedyeh Rafii-Tari United Kingdom
Dennis Kundrat Germany
Diego L. Guarín United States
Yong Bai China
Simon Drouin Canada
Kitaro Yoshimitsu Japan
Cinzia Freschi Italy
Gauthier Gras United Kingdom
Sonny Chan Canada
Fengling Hu United States
Danyal Fer relative to Hedyeh Rafii-Tari United Kingdom Hedyeh Rafii-Tari's profile →
Citations per field
00.5×5.1×
Hedyeh Rafii-Tari · 1×
Citations per year

Countries citing papers authored by Danyal Fer

Since Specialization
Citations

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

Fields of papers citing papers by Danyal Fer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012112
2 202141
3 202226
4 202025
5 202123
6 201819
7 202219
8 202116
9 201915
10 202211
11 201910
12 20208
13 20236
14 20236
15 20235
16 20253
17
Efficiently Calibrating Cable-Driven Surgical Robots With RGBD Sensing, Temporal Windowing, and Linear and Recurrent Neural Network Compensation
20203
18 20232
19 20232
20 20232

About Danyal Fer

Danyal Fer is a scholar working on Surgery, Biomedical Engineering, Computer Vision and Pattern Recognition, Epidemiology and Public Health, Environmental and Occupational Health, having authored 21 papers that have together received 354 indexed citations. Recurring topics across this work include Surgical Simulation and Training (19 papers), Soft Robotics and Applications (10 papers), Anatomy and Medical Technology (9 papers), Augmented Reality Applications (6 papers), Surgical Sutures and Adhesives (3 papers), Digital Imaging in Medicine (2 papers), Robotics and Sensor-Based Localization (2 papers) and Simulation-Based Education in Healthcare (1 paper). The work is most often cited by research in Health Informatics (16 citations), Neurology (66 citations), Epidemiology (108 citations), Cognitive Neuroscience (62 citations) and Surgery (128 citations). Danyal Fer has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Ken Goldberg, Brijen Thananjeyan, Jeffrey Ichnowski, Minho Hwang, Thomas Low, Daniel Seita, Poul Jennum, Diego Garcı́a-Borreguero, Thomas M. Ward and Shaun T. O’Keeffe. Their work appears in journals such as Surgical Endoscopy, European Journal of Neurology, IEEE Transactions on Automation Science and Engineering, Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization and PubMed.

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.

Explore authors with similar magnitude of impact