Tim‐Rasmus Kiehl

6.5k citations
62 papers · 4.6k indexed · 2 hit papers · h-index 28
Topics
Neurofibromatosis and Schwannoma Cases (12 papers)AI in cancer detection (11 papers)Glioma Diagnosis and Treatment (8 papers)

In The Last Decade

Tim‐Rasmus Kiehl

59 papers receiving 4.5k citations

Hit Papers

Description of the NCAR Community Atmosphere Model (CAM 3.0)19962026200620162004199650010001.5k

Peers

Tim‐Rasmus Kiehl
Comparison fields: 5 of 152
  • Global and Planetary Change 2.5k
  • Atmospheric Science 2.5k
  • Oceanography 438
  • Neurology 389
  • Epidemiology 374
Replace Tsutomu Takashima with:
Tsutomu Takashima Japan
Olivier Le Moine Belgium
Steven Hancock United States
Richard H. Moore United States
Kristiaan Nackaerts Belgium
Seiji Kato United States
Michael W. Hess Austria
Richard J. Reed United States
Franklyn A. Howe United Kingdom
Markus Huber Switzerland
Tim‐Rasmus Kiehl relative to Tsutomu Takashima Japan Tsutomu Takashima's profile →
Citations per field
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Tsutomu Takashima · 1×
Citations per year

Countries citing papers authored by Tim‐Rasmus Kiehl

Since Specialization
Citations

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

Fields of papers citing papers by Tim‐Rasmus Kiehl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim‐Rasmus Kiehl. 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 Tim‐Rasmus Kiehl. The network helps show where Tim‐Rasmus Kiehl may publish in the future.

Co-authorship network of co-authors of Tim‐Rasmus Kiehl

This figure shows the co-authorship network connecting the top 25 collaborators of Tim‐Rasmus Kiehl. A scholar is included among the top collaborators of Tim‐Rasmus Kiehl based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tim‐Rasmus Kiehl. Tim‐Rasmus Kiehl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 1
5 45
6 5
7 69
8 7
9 2
10 7
11 2
12 8
13 33
14 22
15 31
16 30
17 10
18 63
19 16
20 39

About Tim‐Rasmus Kiehl

Tim‐Rasmus Kiehl is a scholar working on Health Informatics, Neurology and Genetics, having authored 62 papers that have together received 4.6k indexed citations. Recurring topics across this work include Neurofibromatosis and Schwannoma Cases (12 papers), AI in cancer detection (11 papers) and Glioma Diagnosis and Treatment (8 papers). The work is most often cited by research in Atmospheric Science (2.5k citations), Global and Planetary Change (2.5k citations) and Health Informatics (78 citations). Tim‐Rasmus Kiehl has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include P. Briegleb, L. Williamson, A. Boville, Joel Rasch, James R. McCaa, William D. Collins, Shian‐Jiann Lin, Minghua Zhang, Cecilia M. Bitz and James J. Hack. Their work appears in journals such as Brain, Neurology and Cancer 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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