Peter Savadjiev
Impact in
- Computational Mathematics top 2%
- Health Informatics top 2%
Papers in
-
- Advanced Neuroimaging Techniques and Applications 39
- Advanced MRI Techniques and Applications 12
- Radiomics and Machine Learning in Medical Imaging 9
- MRI in cancer diagnosis 5
-
- Functional Brain Connectivity Studies 20
- Co-authors
- Caroline Reinhold (8 shared papers)Kaleem Siddiqi (13 shared papers)Reza Forghani (8 shared papers)Martha E. Shenton (15 shared papers)G. Bruce Pike (8 shared papers)Marek Kubicki (14 shared papers)B. Gallix (4 shared papers)Sylvain Bouix (12 shared papers)
- Journals
- NeuroImage (4 papers)European Radiology (3 papers)Human Brain Mapping (3 papers)Brain Imaging and Behavior (3 papers)Schizophrenia Research (2 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Peter Savadjiev
50 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 118
- Computational Mathematics 60
- Health Informatics 73
- Radiology, Nuclear Medicine and Imaging 989
- Cognitive Neuroscience 308
- Hepatology 82
Countries citing papers authored by Peter Savadjiev
This map shows the geographic impact of Peter Savadjiev'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 Peter Savadjiev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Savadjiev more than expected).
Fields of papers citing papers by Peter Savadjiev
This network shows the impact of papers produced by Peter Savadjiev. 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 Peter Savadjiev. The network helps show where Peter Savadjiev may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Savadjiev, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 133 | |
| 2 | 2019 | 113 | |
| 3 | 2018 | 104 | |
| 4 | 2017 | 71 | |
| 5 | 2022 | 66 | |
| 6 | 2014 | 65 | |
| 7 | 2008 | 63 | |
| 8 | 2014 | 58 | |
| 9 | 2013 | 55 | |
| 10 | 2008 | 53 | |
| 11 | 2017 | 46 | |
| 12 | 2017 | 45 | |
| 13 | 2006 | 44 | |
| 14 | 2012 | 41 | |
| 15 | 2015 | 35 | |
| 16 | 2013 | 33 | |
| 17 | 2013 | 32 | |
| 18 | 2019 | 26 | |
| 19 | 2022 | 17 | |
| 20 | 2014 | 17 |
About Peter Savadjiev
Peter Savadjiev is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Pediatrics, Perinatology and Child Health, Orthopedics and Sports Medicine and Biomedical Engineering, having authored 50 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (39 papers), Functional Brain Connectivity Studies (20 papers), Advanced MRI Techniques and Applications (12 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Fetal and Pediatric Neurological Disorders (7 papers), MRI in cancer diagnosis (5 papers), Bone and Joint Diseases (5 papers) and Tensor decomposition and applications (4 papers). The work is most often cited by research in Computational Mathematics (60 citations), Health Informatics (73 citations), Radiology, Nuclear Medicine and Imaging (989 citations), Cognitive Neuroscience (308 citations) and Hepatology (82 citations). Peter Savadjiev has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Caroline Reinhold, Kaleem Siddiqi, Reza Forghani, Martha E. Shenton, G. Bruce Pike, Marek Kubicki, B. Gallix, Sylvain Bouix, Avishek Chatterjee and Jennifer S. W. Campbell. Their work appears in journals such as NeuroImage, European Radiology, Human Brain Mapping, Brain Imaging and Behavior and Schizophrenia Research.
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.