Nils Raabe
Impact in
- Anesthesiology and Pain Medicine top 10%
- Surgery top 10%
- Anesthesia and Pain Management
- Testicular diseases and treatments
Papers in
- Surgery 22
- Anesthesia and Pain Management 12
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- Breast Cancer Treatment Studies 11
- Co-authors
- Bernhard Sick (1 shared paper)Janosch Henze (1 shared paper)André Gensler (1 shared paper)Patrick Belfrage (12 shared papers)B Thalme (3 shared papers)Sophie D. Fosså (7 shared papers)Michael Spiteller (2 shared papers)Andrija Šmelcerović (2 shared papers)
In The Last Decade
Nils Raabe
63 papers receiving 1.3k citations
Nils Raabe's Hit Papers
Peers
Comparison fields: 5 of 132
- Anesthesiology and Pain Medicine 52
- Surgery 352
- Renewable Energy, Sustainability and the Environment 126
- Artificial Intelligence 242
- Developmental Neuroscience 28
Countries citing papers authored by Nils Raabe
This map shows the geographic impact of Nils Raabe'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 Nils Raabe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nils Raabe more than expected).
Fields of papers citing papers by Nils Raabe
This network shows the impact of papers produced by Nils Raabe. 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 Nils Raabe. The network helps show where Nils Raabe may publish in the future.
Co-authors
The 25 scholars most cited alongside Nils Raabe, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep Learning for solar power forecasting — An approach using AutoEncoder and LSTM Neural Networks Hit paper breakdown → | 2016 | 425 |
| 2 | 2005 | 85 | |
| 3 | 2006 | 69 | |
| 4 | 1974 | 61 | |
| 5 | 1997 | 60 | |
| 6 | 1981 | 57 | |
| 7 | 1986 | 52 | |
| 8 | 2008 | 51 | |
| 9 | 1975 | 34 | |
| 10 | 1997 | 32 | |
| 11 | 1975 | 29 | |
| 12 | 1989 | 26 | |
| 13 | 1976 | 23 | |
| 14 | 1992 | 22 | |
| 15 | 1976 | 21 | |
| 16 | 2017 | 19 | |
| 17 | 1995 | 18 | |
| 18 | 2017 | 18 | |
| 19 | 1991 | 17 | |
| 20 | 1996 | 16 |
About Nils Raabe
Nils Raabe is a scholar working on Surgery, Cancer Research, Pulmonary and Respiratory Medicine, Atomic and Molecular Physics, and Optics and Oncology, having authored 66 papers that have together received 1.4k indexed citations. Recurring topics across this work include Anesthesia and Pain Management (12 papers), Breast Cancer Treatment Studies (11 papers), Laser-Matter Interactions and Applications (9 papers), Advanced Fiber Laser Technologies (7 papers), Cardiac, Anesthesia and Surgical Outcomes (6 papers), Prostate Cancer Treatment and Research (5 papers), Estrogen and related hormone effects (5 papers) and Anesthesia and Sedative Agents (4 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (52 citations), Surgery (352 citations), Renewable Energy, Sustainability and the Environment (126 citations), Artificial Intelligence (242 citations) and Developmental Neuroscience (28 citations). Nils Raabe has collaborated with scholars based in Norway, Sweden and Germany. Frequent co-authors include Bernhard Sick, Janosch Henze, André Gensler, Patrick Belfrage, B Thalme, Sophie D. Fosså, Michael Spiteller, Andrija Šmelcerović, L. Irestedt and Anita Berlin. Their work appears in journals such as Acta Obstetricia Et Gynecologica Scandinavica, Acta Oncologica, European Journal of Cancer, Optics Letters and American Journal of Obstetrics and Gynecology.
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.