Sinisa Pajevic
Impact in
- Computational Mathematics top 0.1%
- Tensor decomposition and applications
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- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- MRI in cancer diagnosis
Papers in
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- Tensor decomposition and applications 7
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- Advanced Neuroimaging Techniques and Applications 26
- Advanced MRI Techniques and Applications 19
- MRI in cancer diagnosis 5
- Optical Imaging and Spectroscopy Techniques 4
- Co-authors
- Carlo PierpaoliPeter J. BasserAkram AldroubiJeffrey DudaMarco CataniRobert HowardDerek K. JonesRobert Chen
- Journals
- Magnetic Resonance in Medicine (6 papers)Journal of Statistical Physics (3 papers)Macromolecules (3 papers)IEEE Transactions on Medical Imaging (3 papers)Clinical Neurophysiology (2 papers)
- Partner nations
- United StatesItalyChile
In The Last Decade
Sinisa Pajevic
59 papers receiving 8.4k citations
Hit Papers
Peers
Comparison fields: 5 of 199
- Computational Mathematics 533
- Radiology, Nuclear Medicine and Imaging 5.7k
- Cognitive Neuroscience 2.3k
- Pediatrics, Perinatology and Child Health 1.7k
- Developmental Neuroscience 232
Countries citing papers authored by Sinisa Pajevic
This map shows the geographic impact of Sinisa Pajevic'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 Sinisa Pajevic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sinisa Pajevic more than expected).
Fields of papers citing papers by Sinisa Pajevic
This network shows the impact of papers produced by Sinisa Pajevic. 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 Sinisa Pajevic. The network helps show where Sinisa Pajevic may publish in the future.
Co-authors
The 25 scholars most cited alongside Sinisa Pajevic, 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 | 2026 | 0 | |
| 2 | 2023 | 23 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 14 | |
| 5 | 2021 | 4 | |
| 6 | 2020 | 14 | |
| 7 | 2018 | 137 | |
| 8 | 2018 | 33 | |
| 9 | 2013 | 256 | |
| 10 | 2013 | 17 | |
| 11 | 2012 | 58 | |
| 12 | 2009 | 3 | |
| 13 | 2009 | 78 | |
| 14 | 2008 | 26 | |
| 15 | 2007 | 1 | |
| 16 | 2006 | 69 | |
| 17 | 2003 | 125 | |
| 18 | Virtual in Vivo Interactive Dissection of White Matter Fasciculi in the Human Brain Hit paper breakdown → | 2002 | 1273 |
| 19 | Fiber Tract Following in the Human Brain Using DT-MRI Data | 2002 | 22 |
| 20 | In vivo fiber tractography using DT-MRI data Hit paper breakdown → | 2000 | 2281 |
About Sinisa Pajevic
Sinisa Pajevic is a scholar working on Computational Mathematics, Radiology, Nuclear Medicine and Imaging, Acoustics and Ultrasonics, Cognitive Neuroscience and Neurology, having authored 61 papers that have together received 8.6k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (26 papers), Advanced MRI Techniques and Applications (19 papers), Neural dynamics and brain function (9 papers), Functional Brain Connectivity Studies (9 papers), Tensor decomposition and applications (7 papers), MRI in cancer diagnosis (5 papers), Fetal and Pediatric Neurological Disorders (4 papers) and Optical Imaging and Spectroscopy Techniques (4 papers). The work is most often cited by research in Computational Mathematics (533 citations), Radiology, Nuclear Medicine and Imaging (5.7k citations), Cognitive Neuroscience (2.3k citations), Pediatrics, Perinatology and Child Health (1.7k citations) and Developmental Neuroscience (232 citations). Sinisa Pajevic has collaborated with scholars based in United States, Italy and Chile. Frequent co-authors include Carlo Pierpaoli, Peter J. Basser, Akram Aldroubi, Jeffrey Duda, Marco Catani, Robert Howard, Derek K. Jones, Robert Chen, LaRoy Penix and Alan Barnett. Their work appears in journals such as Magnetic Resonance in Medicine, Journal of Statistical Physics, Macromolecules, IEEE Transactions on Medical Imaging and Clinical Neurophysiology.
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.