Universität für Weiterbildung Krems

74.9k citations
3.2k papers ·

Impact in

    • Stroke Rehabilitation and Recovery
  • Neurology top 10%
    • Parkinson's Disease Mechanisms and Treatments

Papers in

Universität für Weiterbildung Krems

2.5k papers receiving 59.1k citations

Peers

Universität für Weiterbildung Krems
Comparison fields: 5 of 245
  • Rehabilitation 1.8k
  • Neurology 4.0k
  • Neurology 2.0k
  • Psychiatry and Mental health 3.2k
  • Biological Psychiatry 509
Replace Technische Hochschule Ulm with:
Technische Hochschule Ulm Germany
University of Foggia Italy
Berlin Institute of Health at Charité - Universitätsmedizin Berlin Germany
Institute for Biomedical Engineering Switzerland
Bern University of Applied Sciences Switzerland
University Hospital Augsburg Germany
Parthenope University of Naples Italy
Ospedale San Giuseppe Italy
Sigmund Freud Privatuniversität Wien Austria
Witten/Herdecke University Germany
Universität für Weiterbildung Krems relative to Technische Hochschule Ulm Germany Technische Hochschule Ulm's profile →
Citations per field
00.5×2×3×4.3×
Technische Hochschule Ulm · 1×
Citations per year

Countries citing scholars working at Universität für Weiterbildung Krems

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Universität für Weiterbildung Krems. 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 papers produced at Universität für Weiterbildung Krems with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Universität für Weiterbildung Krems more than expected).

Fields of papers published by authors at Universität für Weiterbildung Krems

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Universität für Weiterbildung Krems at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Universität für Weiterbildung Krems at the time of their publication.

About Universität für Weiterbildung Krems

In recent decades, authors affiliated with Universität für Weiterbildung Krems have published 3.2k papers, which have received a total of 74.9k indexed citations . Scholars at this organization have produced 96 papers in Management of Technology and Innovation, 78 papers in Statistics, Probability and Uncertainty, 50 papers in Applied Psychology, 68 papers in Communication and 116 papers in Rheumatology on the topics of E-Government and Public Services (87 papers), Osteoarthritis Treatment and Mechanisms (73 papers), Meta-analysis and systematic reviews (67 papers), Magnetic properties of thin films (63 papers), Acute Ischemic Stroke Management (62 papers), COVID-19 and Mental Health (60 papers), Data Visualization and Analytics (57 papers) and Advanced MEMS and NEMS Technologies (56 papers). Their work is cited by papers focused on Rehabilitation (1.8k citations), Neurology (4.0k citations), Neurology (2.0k citations), Psychiatry and Mental health (3.2k citations) and Biological Psychiatry (509 citations). Authors at Universität für Weiterbildung Krems collaborate with scholars in Austria, Germany and United States and have published in prestigious journals including Cochrane Database of Systematic Reviews, Journal of Clinical Epidemiology, Scientific Reports, PLoS ONE and Sustainability. Some of Universität für Weiterbildung Krems's most productive authors include Gerald Gartlehner, Michael Brainin, Thomas Probst, Christoph Pieh, Roland W. Scholz, Gerald Steiner, Noella Edelmann, Barbara Nußbaumer-Streit, Viktoria Weber and Sanja Budimir.

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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