Robert Grimm

4.4k citations
148 papers · 3.2k indexed · 1 hit paper · h-index 30

Robert Grimm

134 papers receiving 3.1k citations

Hit Papers

Golden‐angle radial sparse parallel MRI: Combination of c...5312013202620172021100200300400500

Peers

Robert Grimm
Comparison fields: 5 of 99
  • Radiology, Nuclear Medicine and Imaging 2.6k
  • Hepatology 298
  • Pulmonary and Respiratory Medicine 582
  • Health Informatics 21
  • Atomic and Molecular Physics, and Optics 433
Replace Jingfei Ma with:
Jingfei Ma United States
Patrick Veit‐Haibach Switzerland
Masayuki Matsuo Japan
Munenobu Nogami Japan
Thomas Kahn Germany
Stefan Diederich Germany
Lale Umutlu Germany
David S. Wang United States
Tomohiro Namimoto Japan
Spencer C. Behr United States
Robert Grimm relative to Jingfei Ma United States Jingfei Ma's profile →
Citations per field
00.5×2.9×
Jingfei Ma · 1×
Citations per year

Countries citing papers authored by Robert Grimm

Since Specialization
Citations

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

Fields of papers citing papers by Robert Grimm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20250
4 20250
5 20243
6 20240
7 20240
8 20239
9 20230
10 20239
11 20237
12 202321
13 20235
14 202021
15 201929
16 201920
17 201815
18 201866
19 201745
20 201585

About Robert Grimm

Robert Grimm is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology, Pulmonary and Respiratory Medicine, Orthopedics and Sports Medicine and Atomic and Molecular Physics, and Optics, having authored 148 papers that have together received 3.2k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (85 papers), Radiomics and Machine Learning in Medical Imaging (56 papers), Advanced MRI Techniques and Applications (51 papers), Advanced Neuroimaging Techniques and Applications (31 papers), Atomic and Subatomic Physics Research (23 papers), Prostate Cancer Diagnosis and Treatment (17 papers), Hepatocellular Carcinoma Treatment and Prognosis (16 papers) and Liver Disease Diagnosis and Treatment (14 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.6k citations), Hepatology (298 citations), Pulmonary and Respiratory Medicine (582 citations), Health Informatics (21 citations) and Atomic and Molecular Physics, and Optics (433 citations). Robert Grimm has collaborated with scholars based in Germany, China and United States. Frequent co-authors include Kai Tobias Block, Hersh Chandarana, Daniel K. Sodickson, Li Feng, Ricardo Otazo, Sungheon Kim, Jian Xu, Leon Axel, Caixia Fu and Joachim Hornegger. Their work appears in journals such as European Radiology, Journal of Magnetic Resonance Imaging, Investigative Radiology, European Journal of Radiology and Magnetic Resonance in Medicine.

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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