Thomas Røraas

28 papers receiving 1.2k citations

Peers

Thomas Røraas
Comparison fields: 5 of 105
  • Statistics, Probability and Uncertainty 302
  • Statistics and Probability 235
  • Physiology 588
  • Nephrology 135
  • Endocrinology, Diabetes and Metabolism 161
Replace Aasne K. Aarsand with:
Aasne K. Aarsand Norway
Jorge Díaz–Garzón Spain
Carmen Perich Spain
Federica Braga Italy
Joana Minchinela Spain
Fernando Cava Spain
Virtudes Álvarez Spain
Ole Blaabjerg Denmark
Peter Felding Denmark
Gabriel Lima-Oliveira Italy
Thomas Røraas relative to Aasne K. Aarsand Norway Aasne K. Aarsand's profile →
Citations per field
00.5×
Aasne K. Aarsand · 1×
Citations per year

Countries citing papers authored by Thomas Røraas

Since Specialization
Citations

This map shows the geographic impact of Thomas Røraas'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 Thomas Røraas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Røraas more than expected).

Fields of papers citing papers by Thomas Røraas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas Røraas. 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 Thomas Røraas. The network helps show where Thomas Røraas may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Thomas Røraas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Thomas Røraas Line = papers co-authored together Thomas Røraas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20195
2 201832
3 201831
4 20189
5 201835
6 201710
7 201761
8 2017158
9 201719
10 201749
11 201685
12 2016103
13 201526
14 2015123
15 20148
16 20145
17 201477
18 201340
19 20129
20 201013

About Thomas Røraas

Thomas Røraas is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability, Physiology, Internal Medicine and Nephrology, having authored 28 papers that have together received 1.2k indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (16 papers), Statistical Methods in Clinical Trials (10 papers), Meta-analysis and systematic reviews (8 papers), Blood properties and coagulation (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers), Diabetes Management and Education (2 papers) and Healthcare cost, quality, practices (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (302 citations), Statistics and Probability (235 citations), Physiology (588 citations), Nephrology (135 citations) and Endocrinology, Diabetes and Metabolism (161 citations). Thomas Røraas has collaborated with scholars based in Norway, Italy and Spain. Frequent co-authors include Sverre Sandberg, Per Hyltoft Petersen, Anna Carobene, William A. Bartlett, Pilar Fernández–Calle, Abdurrahman Coşkun, Federica Braga, Bård Støve, Jorge Díaz–Garzón and Niels Jonker. Their work appears in journals such as Clinical Chemistry, Clinical Chemistry and Laboratory Medicine (CCLM), Clinica Chimica Acta, Scandinavian Journal of Clinical and Laboratory Investigation and BMC Health Services Research.

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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