Kim Sivesgaard

496 total citations
15 papers, 365 citations indexed

About

Kim Sivesgaard is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Hepatology. According to data from OpenAlex, Kim Sivesgaard has authored 15 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Cardiology and Cardiovascular Medicine and 4 papers in Hepatology. Recurrent topics in Kim Sivesgaard's work include MRI in cancer diagnosis (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Hepatocellular Carcinoma Treatment and Prognosis (4 papers). Kim Sivesgaard is often cited by papers focused on MRI in cancer diagnosis (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Hepatocellular Carcinoma Treatment and Prognosis (4 papers). Kim Sivesgaard collaborates with scholars based in Denmark and United States. Kim Sivesgaard's co-authors include Frank Viborg Mortensen, Sigrid S. Árnadóttir, Hans Jørgen Nielsen, Torben F. Ørntoft, Philippe Lamy, Mai‐Britt W. Ørntoft, Thomas Reinert, Anders Riegels Knudsen, Peter Mouritzen and Iver Nordentoft and has published in prestigious journals such as Scientific Reports, Clinical Cancer Research and Journal of Magnetic Resonance Imaging.

In The Last Decade

Kim Sivesgaard

14 papers receiving 361 citations

Peers

Kim Sivesgaard
Comparison fields: 5 of 45
  • Cancer Research 211
  • Oncology 179
  • Pathology and Forensic Medicine 133
  • Pulmonary and Respiratory Medicine 97
  • Radiology, Nuclear Medicine and Imaging 71
Replace G. Bruixola with:
G. Bruixola Spain
Emily E. Van Seventer United States
Yuexin Tong China
H Wotherspoon United Kingdom
Valentina Agostini Italy
Osamu Nakahara Japan
Franco Decian Italy
Jung Wook Huh South Korea
Alessio Rizzo Italy
G. Bruixola Spain View profile →
Citations per field, relative to Kim Sivesgaard
Kim Sivesgaard · 1×
Citations per year, relative to Kim Sivesgaard
Kim Sivesgaard · 1×

Countries citing papers authored by Kim Sivesgaard

Since Specialization
Citations

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

Fields of papers citing papers by Kim Sivesgaard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kim Sivesgaard

This figure shows the co-authorship network connecting the top 25 collaborators of Kim Sivesgaard. A scholar is included among the top collaborators of Kim Sivesgaard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kim Sivesgaard. Kim Sivesgaard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 0
2 4
3 4
4 2
5 2
6 55
7 230
8 2
9 8
10
Traditional SCORE-based health check fails to identify individuals who develop acute myocardial infarction.
10
11 5
12 2
13 36
14 1
15 4

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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