Knut Liestøl

9.8k citations
191 papers · 6.7k indexed · 2 hit papers · h-index 43

Knut Liestøl

188 papers receiving 6.5k citations

Hit Papers

Designing deep learning studies in cancer diagnostics2102020202620222024100200300

Peers

Knut Liestøl
Comparison fields: 5 of 192
  • Health Informatics 83
  • Cell Biology 803
  • Cardiology and Cardiovascular Medicine 1.1k
  • Cancer Research 573
  • Complementary and alternative medicine 301
Replace Jennifer L. Hall with:
Jennifer L. Hall United States
Ulrich Keller Germany
Erwin P. Böttinger United States
Stuart A. Cook United Kingdom
Liam Murray United Kingdom
Wei Wang China
Bin Zhang China
Loreto Gesualdo Italy
Peter N. Robinson Germany
Johanne Tremblay Canada
Knut Liestøl relative to Jennifer L. Hall United States Jennifer L. Hall's profile →
Citations per field
00.5×2.8×
Jennifer L. Hall · 1×
Citations per year

Countries citing papers authored by Knut Liestøl

Since Specialization
Citations

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

Fields of papers citing papers by Knut Liestøl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Knut Liestøl, 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 Knut Liestøl Line = papers co-authored together Knut Liestøl links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20251
4 20241
5 20231
6 202313
7 20223
8 20221
9 20211
10 202117
11
Designing deep learning studies in cancer diagnosticsbreakdown →
2021210
12 20206
13 201538
14 201536
15
Visit-to-visit blood pressure variability increases risk of stroke or cardiac events in patients given valsartan or amlodipine in the value trial
20151
16 201315
17 2012100
18 2004149
19
A note on confidence intervals and bands for the survival function based on transformations
199061
20
Confidence intervals and confidence bands for the cumulative hazard rate function and their small sample properties
198650

About Knut Liestøl

Knut Liestøl is a scholar working on Cardiology and Cardiovascular Medicine, Health Informatics and Complementary and alternative medicine, having authored 191 papers that have together received 6.7k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (19 papers), Heart Rate Variability and Autonomic Control (18 papers), Lymphoma Diagnosis and Treatment (14 papers), Cardiovascular and exercise physiology (11 papers), Congenital Heart Disease Studies (11 papers), Cellular transport and secretion (11 papers), Cancer Genomics and Diagnostics (8 papers) and Birth, Development, and Health (7 papers). The work is most often cited by research in Health Informatics (83 citations), Cell Biology (803 citations) and Cardiology and Cardiovascular Medicine (1.1k citations). Knut Liestøl has collaborated with scholars based in Norway, United States and United Kingdom. Frequent co-authors include Gunnar Erikssen, Harald Stenmark, Lars Walløe, Jan Erikssen, Kristian Gundersen, Jo C. Bruusgaard, Jørgen Vildershøj Bjørnholt, Ole Christian Lingjærde, Gro Harlem Brundtland and Håvard E. Danielsen. Their work appears in journals such as PLoS ONE, Journal of Hypertension, Acta Paediatrica, Annals of Human Biology and Hypertension.

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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