Tim Jerman
Impact in
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- Retinal Imaging and Analysis
- Ophthalmology top 10%
- Glaucoma and retinal disorders
- Retinal Diseases and Treatments
Papers in
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- Intracranial Aneurysms: Treatment and Complications 6
- Traumatic Brain Injury and Neurovascular Disturbances 2
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- Retinal Imaging and Analysis 5
- Co-authors
- Žiga Špiclin (10 shared papers)Franjo Pernuš (10 shared papers)Boštjan Likar (10 shared papers)Alfiia Galimzianova (1 shared paper)Aichi Chien (3 shared papers)Aleš Hladnik (2 shared papers)
- Journals
- Coloration Technology (1 paper)IEEE Transactions on Medical Imaging (1 paper)IEEE Transactions on Biomedical Engineering (1 paper)IEEE Transactions on Visualization and Computer Graphics (1 paper)Lecture notes in computer science (2 papers)
- Partner nations
- SloveniaUnited States
In The Last Decade
Tim Jerman
12 papers receiving 397 citations
Peers
Comparison fields: 5 of 67
- Radiology, Nuclear Medicine and Imaging 164
- Ophthalmology 54
- Computer Vision and Pattern Recognition 122
- Biophysics 23
- Neurology 30
Countries citing papers authored by Tim Jerman
This map shows the geographic impact of Tim Jerman'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 Tim Jerman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Jerman more than expected).
Fields of papers citing papers by Tim Jerman
This network shows the impact of papers produced by Tim Jerman. 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 Tim Jerman. The network helps show where Tim Jerman may publish in the future.
Co-authors
The 6 scholars most cited alongside Tim Jerman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 230 | |
| 2 | 2015 | 67 | |
| 3 | 2015 | 39 | |
| 4 | 2016 | 17 | |
| 5 | 2015 | 14 | |
| 6 | 2017 | 12 | |
| 7 | 2018 | 7 | |
| 8 | 2019 | 7 | |
| 9 | 2016 | 3 | |
| 10 | 2019 | 2 | |
| 11 | 2014 | 1 | |
| 12 | Language Learning with First Click on Slovene | 2008 | 1 |
| 13 | Prediction of RGB camera values by means of artificial neural networks | 2013 | 1 |
About Tim Jerman
Tim Jerman is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 13 papers that have together received 401 indexed citations. Recurring topics across this work include Intracranial Aneurysms: Treatment and Complications (6 papers), Cerebrovascular and Carotid Artery Diseases (5 papers), Retinal Imaging and Analysis (5 papers), Medical Image Segmentation Techniques (2 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Acute Ischemic Stroke Management (2 papers), Multiple Sclerosis Research Studies (1 paper) and Calibration and Measurement Techniques (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (164 citations), Ophthalmology (54 citations), Computer Vision and Pattern Recognition (122 citations), Biophysics (23 citations) and Neurology (30 citations). Tim Jerman has collaborated with scholars based in Slovenia and United States. Frequent co-authors include Žiga Špiclin, Franjo Pernuš, Boštjan Likar, Alfiia Galimzianova, Aichi Chien and Aleš Hladnik. Their work appears in journals such as Coloration Technology, IEEE Transactions on Medical Imaging, IEEE Transactions on Biomedical Engineering, IEEE Transactions on Visualization and Computer Graphics and Lecture notes in computer science.
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.