Tobias Kober

5.6k citations
152 papers · 3.7k indexed · 1 hit paper · h-index 30

Tobias Kober

143 papers receiving 3.7k citations

Hit Papers

MP2RAGE, a self bias-field corrected sequence for improve...1.0k20092026201420202505007501000

Peers

Tobias Kober
Comparison fields: 5 of 134
  • Radiology, Nuclear Medicine and Imaging 2.5k
  • Health Informatics 99
  • Cognitive Neuroscience 903
  • Pathology and Forensic Medicine 646
  • Neurology 334
Replace Bram Stieltjes with:
Bram Stieltjes Germany
Koji Kamagata Japan
Akifumi Hagiwara Japan
Shannon Kolind Canada
Christopher G. Filippi United States
Philip C. De Witt Hamer Netherlands
Marco Reisert Germany
Alexey Samsonov United States
Wolfgang Block Germany
Elias R. Melhem United States
Tobias Kober relative to Bram Stieltjes Germany Bram Stieltjes's profile →
Citations per field
00.5×3.4×
Bram Stieltjes · 1×
Citations per year

Countries citing papers authored by Tobias Kober

Since Specialization
Citations

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

Fields of papers citing papers by Tobias Kober

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20241
4 20232
5 20228
6 20225
7 202110
8 202043
9 202021
10 202021
11 20197
12 20195
13 201910
14
Atlas-based tract damage mapping improves 4-year forecast of EDSS in multiple sclerosis
20191
15 201857
16 201825
17
Differential diagnosis of multiple sclerosis with machine learning-based central vein sign recognition
20181
18 201715
19 201424
20 201419

About Tobias Kober

Tobias Kober is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Health Informatics, having authored 152 papers that have together received 3.7k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (91 papers), Advanced Neuroimaging Techniques and Applications (61 papers), Multiple Sclerosis Research Studies (23 papers), Medical Imaging Techniques and Applications (22 papers), Functional Brain Connectivity Studies (22 papers), Atomic and Subatomic Physics Research (16 papers), MRI in cancer diagnosis (13 papers) and Advanced NMR Techniques and Applications (9 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.5k citations), Health Informatics (99 citations) and Cognitive Neuroscience (903 citations). Tobias Kober has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Gunnar Krueger, José P. Marques, Rolf Gruetter, Wietske van der Zwaag, Pierre‐François Van de Moortele, Tom Hilbert, Jean‐Philippe Thiran, Reto Meuli, Cristina Granziera and Mário João Fartaria. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

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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