Nicole Krämer
Impact in
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Toxicology top 2%
Papers in
-
- Advanced Statistical Methods and Models 6
- Statistical Methods and Inference 5
- Oncology 8
- Lung Cancer Research Studies 6
- Co-authors
- Alois Schlögl (2 shared papers)Anne‐Laure Boulesteix (4 shared papers)Guido Nolte (2 shared papers)Klaus‐Robert Müller (2 shared papers)Andreas Ziehe (2 shared papers)Tom Brismar (1 shared paper)Vadim V. Nikulin (1 shared paper)Benjamin Blankertz (1 shared paper)
- Journals
- European Journal of Cancer (3 papers)Annals of Oncology (2 papers)British Journal of Clinical Pharmacology (2 papers)Journal of Thoracic Oncology (1 paper)Test (1 paper)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Nicole Krämer
36 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 159
- Cognitive Neuroscience 633
- Toxicology 79
- Geriatrics and Gerontology 57
- Statistics and Probability 113
- Signal Processing 135
Countries citing papers authored by Nicole Krämer
This map shows the geographic impact of Nicole Krämer'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 Nicole Krämer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicole Krämer more than expected).
Fields of papers citing papers by Nicole Krämer
This network shows the impact of papers produced by Nicole Krämer. 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 Nicole Krämer. The network helps show where Nicole Krämer may publish in the future.
Co-authors
The 25 scholars most cited alongside Nicole Krämer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 430 | |
| 2 | 2009 | 226 | |
| 3 | 2009 | 153 | |
| 4 | 2014 | 96 | |
| 5 | 2011 | 73 | |
| 6 | 2014 | 67 | |
| 7 | 2016 | 60 | |
| 8 | 2008 | 55 | |
| 9 | 2016 | 51 | |
| 10 | 2012 | 49 | |
| 11 | 2013 | 43 | |
| 12 | Comparison of Granger Causality and Phase Slope Index | 2008 | 42 |
| 13 | 2008 | 41 | |
| 14 | 2012 | 40 | |
| 15 | 2014 | 39 | |
| 16 | 2017 | 22 | |
| 17 | 2020 | 22 | |
| 18 | 2016 | 20 | |
| 19 | 2007 | 18 | |
| 20 | 2015 | 17 |
About Nicole Krämer
Nicole Krämer is a scholar working on Statistics and Probability, Oncology, Pulmonary and Respiratory Medicine, Analytical Chemistry and Mathematical Physics, having authored 36 papers that have together received 1.6k indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (7 papers), Lung Cancer Treatments and Mutations (7 papers), Advanced Statistical Methods and Models (6 papers), Lung Cancer Research Studies (6 papers), Statistical Methods and Inference (5 papers), Genetic and phenotypic traits in livestock (3 papers), Numerical methods in inverse problems (3 papers) and Sparse and Compressive Sensing Techniques (3 papers). The work is most often cited by research in Cognitive Neuroscience (633 citations), Toxicology (79 citations), Geriatrics and Gerontology (57 citations), Statistics and Probability (113 citations) and Signal Processing (135 citations). Nicole Krämer has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Alois Schlögl, Anne‐Laure Boulesteix, Guido Nolte, Klaus‐Robert Müller, Andreas Ziehe, Tom Brismar, Vadim V. Nikulin, Benjamin Blankertz, Carmen Vidaurre and Juliane Schäfer. Their work appears in journals such as European Journal of Cancer, Annals of Oncology, British Journal of Clinical Pharmacology, Journal of Thoracic Oncology and Test.
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.