Frank Hertel

2.8k citations
62 papers · 1.2k · h-index 18

Impact in

Papers in

Frank Hertel

61 papers receiving 1.2k citations

Peers

Frank Hertel
Comparison fields: 5 of 129
  • Neurology 519
  • Research and Theory 29
  • Cellular and Molecular Neuroscience 202
  • Genetics 110
  • Biophysics 51
Replace Akshitkumar M. Mistry with:
Akshitkumar M. Mistry United States
Kaan Yağmurlu United States
Nicholas Brandmeir United States
Francesco Signorelli Italy
Tejas Sankar Canada
Xinguang Yu China
David S. Xu United States
Nicolas Reyns France
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Susanne Wegener Switzerland
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Citations per field
00.5×2.8×
Akshitkumar M. Mistry · 1×
Citations per year

Countries citing papers authored by Frank Hertel

Since Specialization
Citations

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

Fields of papers citing papers by Frank Hertel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017172
2 2015121
3 2008102
4 200686
5 201383
6 201371
7 201247
8 200542
9 201341
10 200335
11 202032
12 201731
13 201125
14 200524
15 202322
16 201621
17 202118
18 200618
19 202016
20 200316

About Frank Hertel

Frank Hertel is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience, Biophysics and Computer Vision and Pattern Recognition, having authored 62 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neurological disorders and treatments (15 papers), Parkinson's Disease Mechanisms and Treatments (8 papers), Advanced Neuroimaging Techniques and Applications (7 papers), Spectroscopy Techniques in Biomedical and Chemical Research (7 papers), Medical Image Segmentation Techniques (6 papers), Neuroscience and Neural Engineering (4 papers), Advanced MRI Techniques and Applications (4 papers) and Cerebrospinal fluid and hydrocephalus (3 papers). The work is most often cited by research in Neurology (519 citations), Research and Theory (29 citations), Cellular and Molecular Neuroscience (202 citations), Genetics (110 citations) and Biophysics (51 citations). Frank Hertel has collaborated with scholars based in Luxembourg, Germany and United States. Frequent co-authors include Andreas Husch, Peter Gemmar, Jorge Gonçalves, Mikkel Steen Petersen, Georges Dooms, Martin Bettag, Hans Boecher-Schwarz, Anisa Hana, Mark Züchner and Bernhard Noll. Their work appears in journals such as Journal of Neurology, Neurosurgery, Journal of Visualized Experiments, Neuro-Oncology and Neuro-Oncology Advances.

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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