Barbara Nußbaumer-Streit
Impact in
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
- Health Informatics top 2%
Papers in
-
- Meta-analysis and systematic reviews 32
- Co-authors
- Gerald GartlehnerIrma KleringsGernot WagnerChantelle GarrittyAdrienne StevensAndreea DobrescuEmma PersadCandyce Hamel
- Journals
- Cochrane Database of Systematic Reviews (14 papers)Journal of Clinical Epidemiology (12 papers)BMJ evidence-based medicine (6 papers)Systematic Reviews (6 papers)Research Synthesis Methods (4 papers)
- Partner nations
- AustriaUnited StatesCanada
In The Last Decade
Barbara Nußbaumer-Streit
74 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 183
- Modeling and Simulation 405
- Health Informatics 70
- Statistics, Probability and Uncertainty 327
- Clinical Psychology 679
- General Health Professions 693
Countries citing papers authored by Barbara Nußbaumer-Streit
This map shows the geographic impact of Barbara Nußbaumer-Streit'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 Barbara Nußbaumer-Streit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara Nußbaumer-Streit more than expected).
Fields of papers citing papers by Barbara Nußbaumer-Streit
This network shows the impact of papers produced by Barbara Nußbaumer-Streit. 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 Barbara Nußbaumer-Streit. The network helps show where Barbara Nußbaumer-Streit may publish in the future.
Co-authors
The 25 scholars most cited alongside Barbara Nußbaumer-Streit, 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 | 2026 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 3 | |
| 8 | Updated recommendations for the Cochrane rapid review methods guidance for rapid reviews of effectiveness Hit paper breakdown → | 2024 | 77 |
| 9 | 2024 | 8 | |
| 10 | 2024 | 7 | |
| 11 | Data extraction for evidence synthesis using a large language model: A proof‐of‐concept study Hit paper breakdown → | 2024 | 52 |
| 12 | 2024 | 2 | |
| 13 | 2024 | 1 | |
| 14 | 2023 | 37 | |
| 15 | 2023 | 3 | |
| 16 | 2023 | 16 | |
| 17 | 2020 | 22 | |
| 18 | 2020 | 108 | |
| 19 | 2020 | 15 | |
| 20 | 2017 | 9 |
About Barbara Nußbaumer-Streit
Barbara Nußbaumer-Streit is a scholar working on Statistics, Probability and Uncertainty, Health Informatics, Endocrine and Autonomic Systems, General Health Professions and History and Philosophy of Science, having authored 84 papers that have together received 3.7k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (32 papers), Health Policy Implementation Science (16 papers), Delphi Technique in Research (14 papers), Circadian rhythm and melatonin (9 papers), Health Systems, Economic Evaluations, Quality of Life (9 papers), Clinical practice guidelines implementation (7 papers), Health Sciences Research and Education (6 papers) and Neuroendocrine regulation and behavior (5 papers). The work is most often cited by research in Modeling and Simulation (405 citations), Health Informatics (70 citations), Statistics, Probability and Uncertainty (327 citations), Clinical Psychology (679 citations) and General Health Professions (693 citations). Barbara Nußbaumer-Streit has collaborated with scholars based in Austria, United States and Canada. Frequent co-authors include Gerald Gartlehner, Irma Klerings, Gernot Wagner, Chantelle Garritty, Adrienne Stevens, Andreea Dobrescu, Emma Persad, Candyce Hamel, Valerie King and Chris Kamel. Their work appears in journals such as Cochrane Database of Systematic Reviews, Journal of Clinical Epidemiology, BMJ evidence-based medicine, Systematic Reviews and Research Synthesis Methods.
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.