Michael Schrempf

844 citations
21 papers · 266 indexed · h-index 9
Topics
Climate Change and Health Impacts (5 papers)Machine Learning in Healthcare (4 papers)Skin Protection and Aging (4 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports

In The Last Decade

Michael Schrempf

20 papers receiving 262 citations

Peers

Michael Schrempf
Comparison fields: 5 of 72
  • Global and Planetary Change 112
  • Atmospheric Science 97
  • Health, Toxicology and Mutagenesis 66
  • Artificial Intelligence 52
  • Environmental Engineering 42
Replace Stefan Riechelmann with:
Stefan Riechelmann Germany
Μ. Μ. Zempila Greece
A. de La Casinière France
Josef Schreder Austria
Kostas Eleftheratos Greece
A. Thomas New Zealand
R. Meerkötter Germany
Luka Ilić Serbia
Ioannis‐Panagiotis Raptis Greece
Michael Schrempf relative to Stefan Riechelmann Germany Stefan Riechelmann's profile →
Citations per field
00.5×1.5×
Stefan Riechelmann · 1×
Citations per year

Countries citing papers authored by Michael Schrempf

Since Specialization
Citations

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

Fields of papers citing papers by Michael Schrempf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Schrempf

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Schrempf. A scholar is included among the top collaborators of Michael Schrempf 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 Michael Schrempf. Michael Schrempf 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 1
3 1
4 2
5 1
6 1
7 2
8 6
9 50
10 13
11 3
12 2
13 15
14 1
15 14
16 20
17 20
18 35
19 45
20 31

About Michael Schrempf

Michael Schrempf is a scholar working on Health Informatics, Dermatology and Health, Toxicology and Mutagenesis, having authored 21 papers that have together received 266 indexed citations. Recurring topics across this work include Climate Change and Health Impacts (5 papers), Machine Learning in Healthcare (4 papers) and Skin Protection and Aging (4 papers). The work is most often cited by research in Atmospheric Science (97 citations), Global and Planetary Change (112 citations) and Health, Toxicology and Mutagenesis (66 citations). Michael Schrempf has collaborated with scholars based in Germany, Austria and New Zealand. Frequent co-authors include Günther Seckmeyer, Stefan Riechelmann, M. Zankl, A. Wieczorek, Ben Liley, Alessandro Damiani, Penny M. Rowe, Sarah J. Doherty, Francisco Fernandoy and Roberto Rondanelli. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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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