Peter Savadjiev

3.0k citations
50 papers · 1.4k · h-index 18

Impact in

Papers in

Peter Savadjiev

50 papers receiving 1.3k citations

Peers

Peter Savadjiev
Comparison fields: 5 of 113
  • Computational Mathematics 59
  • Health Informatics 65
  • Radiology, Nuclear Medicine and Imaging 811
  • Cognitive Neuroscience 262
  • Pediatrics, Perinatology and Child Health 164
Replace Hongyan Ni with:
Hongyan Ni China
Jakob Wasserthal Switzerland
Sheng Xie China
Hiroyuki Kabasawa Japan
Vincent Noblet France
Isabella M. Björkman‐Burtscher Sweden
Birkan Tunç United States
Nikola Stikov Canada
E. Cabanis France
Peter Savadjiev relative to Hongyan Ni China Hongyan Ni's profile →
Citations per field
00.5×10×16.3×
Hongyan Ni · 1×
Citations per year

Countries citing papers authored by Peter Savadjiev

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Peter Savadjiev Line = papers co-authored together Peter Savadjiev links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019136
2 2019114
3 2018108
4 201773
5 202272
6 201467
7 200863
8 201460
9 201356
10 200853
11 201747
12 201746
13 200644
14 201241
15 201535
16 201333
17 201333
18 201926
19 201417
20 202217

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 1.4k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (38 papers), Functional Brain Connectivity Studies (19 papers), Advanced MRI Techniques and Applications (12 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Fetal and Pediatric Neurological Disorders (6 papers), Bone and Joint Diseases (5 papers), Tensor decomposition and applications (4 papers) and Advanced X-ray and CT Imaging (3 papers). The work is most often cited by research in Computational Mathematics (59 citations), Health Informatics (65 citations), Radiology, Nuclear Medicine and Imaging (811 citations), Cognitive Neuroscience (262 citations) and Pediatrics, Perinatology and Child Health (164 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 Anthony Dohan. Their work appears in journals such as NeuroImage, Human Brain Mapping, European Radiology, 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.

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