T. Jaermann

1.2k citations
18 papers · 947 indexed · h-index 14

Impact in

Papers in

T. Jaermann

18 papers receiving 937 citations

Peers

T. Jaermann
Comparison fields: 5 of 81
  • Radiology, Nuclear Medicine and Imaging 589
  • Computational Mathematics 11
  • Cognitive Neuroscience 243
  • Endocrine and Autonomic Systems 51
  • Pediatrics, Perinatology and Child Health 132
Replace Marcello Cadioli with:
Marcello Cadioli Italy
Osamu Kizu Japan
Yaniv Assaf Israel
Michiel Kleinnijenhuis Netherlands
H Matsuzawa Japan
Diana Gomez‐Hassan United States
Kentaro Akazawa Japan
Joong Hee Kim United States
Matthew M. Cheung Hong Kong
T. Jaermann relative to Marcello Cadioli Italy Marcello Cadioli's profile →
Citations per field
00.5×1.5×1.8×
Marcello Cadioli · 1×
Citations per year

Countries citing papers authored by T. Jaermann

Since Specialization
Citations

This map shows the geographic impact of T. Jaermann'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 T. Jaermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Jaermann more than expected).

Fields of papers citing papers by T. Jaermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2004173
2 2005109
3 200593
4 200776
5
A preliminary study of the effects of trigger timing on diffusion tensor imaging of the human spinal cord.
200675
6 200772
7 200567
8 200552
9 200644
10 200142
11 200734
12 200732
13 200530
14 200929
15 20119
16 20117
17 20012
18
Simulations of SNR Efficiency of DTI Using Parallel Imaging and rFOV Acquisition at 3 T and 7 T
20081

About T. Jaermann

T. Jaermann is a scholar working on Computational Mathematics, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Critical Care and Intensive Care Medicine and Biophysics, having authored 18 papers that have together received 947 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (11 papers), Advanced MRI Techniques and Applications (10 papers), Functional Brain Connectivity Studies (3 papers), Atomic and Subatomic Physics Research (2 papers), Fetal and Pediatric Neurological Disorders (2 papers), MRI in cancer diagnosis (2 papers), Visual perception and processing mechanisms (1 paper) and Neuroscience of respiration and sleep (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (589 citations), Computational Mathematics (11 citations), Cognitive Neuroscience (243 citations), Endocrine and Autonomic Systems (51 citations) and Pediatrics, Perinatology and Child Health (132 citations). T. Jaermann has collaborated with scholars based in Switzerland, Germany and Netherlands. Frequent co-authors include Peter Boesiger, Philipp Stäempfli, Spyros Kollias, Anton Valavanis, Klaas P. Pruessmann, G.R. Crelier, Peter Schmid, Peter F. Niederer, Carolin Reischauer and Peter C.M. van Zijl. Their work appears in journals such as Magnetic Resonance in Medicine, NeuroImage, Cortex, Journal of Radiological Protection and Brain Research Reviews.

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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