Rune Sundset

50 total papers · 463 total citations
31 papers, 314 citations indexed

About

Rune Sundset is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Rune Sundset has authored 31 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Molecular Biology and 7 papers in Pathology and Forensic Medicine. Recurrent topics in Rune Sundset's work include Medical Imaging Techniques and Applications (10 papers), Cardiac Ischemia and Reperfusion (7 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Rune Sundset is often cited by papers focused on Medical Imaging Techniques and Applications (10 papers), Cardiac Ischemia and Reperfusion (7 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Rune Sundset collaborates with scholars based in Norway, United States and Denmark. Rune Sundset's co-authors include Kathryn A. Yamada, Kirsti Ytrehus, Jeffrey E. Saffitz, Thomas H. Steinberg, Joseph G. Rogers, Svein‐Ole Mikalsen, Véronique Cruciani, Tetsuo Betsuyaku, Robert Jenssen and Jørn H. Hansen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Journal of Cerebral Blood Flow & Metabolism.

In The Last Decade

Rune Sundset

27 papers receiving 311 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Rune Sundset	186	106	58	31	29	31	314
Rita Garamvölgyi	142 0.8×	88 0.8×	27 0.5×	49 1.6×	14 0.5×	32	346
E. I. Chazov	74 0.4×	145 1.4×	63 1.1×	14 0.5×	10 0.3×	22	345
Anja Hagen	131 0.7×	114 1.1×	24 0.4×	14 0.5×	12 0.4×	25	339
Tamás Ivanics	116 0.6×	189 1.8×	58 1.0×	54 1.7×	5 0.2×	27	357
Yuki Kuramoto	142 0.8×	121 1.1×	25 0.4×	7 0.2×	11 0.4×	24	288
Katus Ha	148 0.8×	201 1.9×	26 0.4×	15 0.5×	6 0.2×	25	295
Dániel Czuriga	66 0.4×	213 2.0×	54 0.9×	17 0.5×	13 0.4×	40	305
Kwansong Ku	140 0.8×	63 0.6×	21 0.4×	100 3.2×	60 2.1×	21	362
Frank J. Raucci	136 0.7×	119 1.1×	26 0.4×	13 0.4×	5 0.2×	25	251
H. Metzger	54 0.3×	27 0.3×	87 1.5×	30 1.0×	18 0.6×	34	357

Countries citing papers authored by Rune Sundset

Since Specialization

Citations

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

Fields of papers citing papers by Rune Sundset

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rune Sundset

This figure shows the co-authorship network connecting the top 25 collaborators of Rune Sundset. A scholar is included among the top collaborators of Rune Sundset 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 Rune Sundset. Rune Sundset is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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