Phillipp Schmidt
Impact in
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- Advanced Fluorescence Microscopy Techniques
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- Data Quality and Management
Papers in
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- Effects and risks of endocrine disrupting chemicals 2
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- Ion channel regulation and function 1
- Co-authors
- Dennis Botman (1 shared paper)Joachim Goedhart (1 shared paper)Daan H. de Groot (1 shared paper)Bas Teusink (1 shared paper)Johan H. van Heerden (1 shared paper)Frank J. Bruggeman (1 shared paper)Niclas Nordholt (1 shared paper)Sebastian Schelter (2 shared papers)
- Journals
- Toxics (2 papers)International Journal of Hygiene and Environmental Health (1 paper)The Journal of Membrane Biology (1 paper)Journal of Machine Learning Research (1 paper)Journal of The Royal Society Interface (1 paper)
- Partner nations
- GermanyNetherlandsBelgium
In The Last Decade
Phillipp Schmidt
8 papers receiving 267 citations
Peers
Comparison fields: 5 of 87
- Biophysics 24
- Management Science and Operations Research 25
- Molecular Biology 120
- Health, Toxicology and Mutagenesis 22
- Artificial Intelligence 55
Countries citing papers authored by Phillipp Schmidt
This map shows the geographic impact of Phillipp Schmidt'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 Phillipp Schmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phillipp Schmidt more than expected).
Fields of papers citing papers by Phillipp Schmidt
This network shows the impact of papers produced by Phillipp Schmidt. 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 Phillipp Schmidt. The network helps show where Phillipp Schmidt may publish in the future.
Co-authors
The 25 scholars most cited alongside Phillipp Schmidt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 78 | |
| 2 | DataWig: Missing Value Imputation for Tables | 2019 | 69 |
| 3 | 2017 | 67 | |
| 4 | 2024 | 19 | |
| 5 | 2019 | 13 | |
| 6 | 1998 | 12 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 5 |
About Phillipp Schmidt
Phillipp Schmidt is a scholar working on Health, Toxicology and Mutagenesis, Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Pollution, having authored 8 papers that have together received 270 indexed citations. Recurring topics across this work include Effects and risks of endocrine disrupting chemicals (2 papers), Time Series Analysis and Forecasting (1 paper), Cardiac electrophysiology and arrhythmias (1 paper), Ion channel regulation and function (1 paper), Mental Health Research Topics (1 paper), Data Visualization and Analytics (1 paper), Photoreceptor and optogenetics research (1 paper) and Data Analysis with R (1 paper). The work is most often cited by research in Biophysics (24 citations), Management Science and Operations Research (25 citations), Molecular Biology (120 citations), Health, Toxicology and Mutagenesis (22 citations) and Artificial Intelligence (55 citations). Phillipp Schmidt has collaborated with scholars based in Germany, Netherlands and Belgium. Frequent co-authors include Dennis Botman, Joachim Goedhart, Daan H. de Groot, Bas Teusink, Johan H. van Heerden, Frank J. Bruggeman, Niclas Nordholt, Sebastian Schelter, Felix Bießmann and Dustin Lange. Their work appears in journals such as Toxics, International Journal of Hygiene and Environmental Health, The Journal of Membrane Biology, Journal of Machine Learning Research and Journal of The Royal Society Interface.
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.