Statistics Austria

74.5k citations
2.7k papers ·

Impact in

Papers in

Statistics Austria

2.2k papers receiving 60.1k citations

Peers

Statistics Austria
Comparison fields: 5 of 246
  • Statistics and Probability 4.4k
  • Nephrology 3.2k
  • Internal Medicine 1.3k
  • Transplantation 882
  • Management Science and Operations Research 3.2k
Replace German Red Cross with:
German Red Cross Germany
Richard Wolf (Germany) Germany
University of Ostrava Czechia
Financial Research (Hungary) Hungary
University Hospital Augsburg Germany
Leipzig University of Applied Sciences Germany
Institut für Medizinische Biometrie, Informatik und Epidemiologie Germany
Institut für Medizinische Informatik, Biometrie und Epidemiologie Germany
TH Köln - University of Applied Sciences Germany
Statistics Belgium Belgium
Statistics Austria relative to German Red Cross Germany German Red Cross's profile →
Citations per field
00.5×10×20×27.3×
German Red Cross · 1×
Citations per year

Countries citing scholars working at Statistics Austria

Since Specialization
Citations

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

Fields of papers published by authors at Statistics Austria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Statistics Austria 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 Statistics Austria at the time of their publication.

About Statistics Austria

In recent decades, authors affiliated with Statistics Austria have published 2.7k papers, which have received a total of 74.5k indexed citations . Scholars at this organization have produced 293 papers in Statistics and Probability, 156 papers in Management Science and Operations Research, 25 papers in Transplantation, 64 papers in Nephrology and 68 papers in Ophthalmology on the topics of Statistical Methods in Clinical Trials (115 papers), Statistical Methods and Inference (90 papers), Advanced Statistical Methods and Models (62 papers), Statistical Methods and Bayesian Inference (57 papers), Optimal Experimental Design Methods (52 papers), Health Systems, Economic Evaluations, Quality of Life (51 papers), Retinal Diseases and Treatments (45 papers) and Geochemistry and Geologic Mapping (39 papers). Their work is cited by papers focused on Statistics and Probability (4.4k citations), Nephrology (3.2k citations), Internal Medicine (1.3k citations), Transplantation (882 citations) and Management Science and Operations Research (3.2k citations). Authors at Statistics Austria collaborate with scholars in Austria, Germany and United States and have published in prestigious journals including PLoS ONE, Scientific Reports, Statistics in Medicine, Nephrology Dialysis Transplantation and Annals of the Rheumatic Diseases. Some of Statistics Austria's most productive authors include Georg Heinze, Péter Bauer, Matthias Templ, Immanuel M. Bomze, Peter Filzmoser, Walter Schachermayer, Daniela Dunkler, Freddy Delbaen, Martin Posch and Barbara Schneider.

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.

Explore institutions with similar magnitude of impact