Karoline Skogen

43 total papers · 896 total citations
23 papers, 666 citations indexed

About

Karoline Skogen is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Karoline Skogen has authored 23 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 11 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Neurology. Recurrent topics in Karoline Skogen's work include Glioma Diagnosis and Treatment (11 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Traumatic Brain Injury and Neurovascular Disturbances (6 papers). Karoline Skogen is often cited by papers focused on Glioma Diagnosis and Treatment (11 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Traumatic Brain Injury and Neurovascular Disturbances (6 papers). Karoline Skogen collaborates with scholars based in Norway, United Kingdom and Netherlands. Karoline Skogen's co-authors include Balaji Ganeshan, Kenneth A. Miles, Ian Pressney, Eirik Helseth, Andrés Server, Anselm Schulz, Johann Baptist Dormagen, Giles Critchley, Catriona D. Good and Mads Aarhus and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Medical Imaging and European Journal of Nuclear Medicine and Molecular Imaging.

In The Last Decade

Karoline Skogen

23 papers receiving 659 citations

Author Peers

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

Author Last Decade Papers Cites
Karoline Skogen 486 151 150 128 113 23 666
L. Gill Naul 300 0.6× 79 0.5× 196 1.3× 152 1.2× 84 0.7× 30 712
Sandra Canale 294 0.6× 130 0.9× 169 1.1× 119 0.9× 65 0.6× 36 706
Jay Patel 444 0.9× 202 1.3× 179 1.2× 95 0.7× 57 0.5× 31 717
Georg Bier 305 0.6× 108 0.7× 124 0.8× 98 0.8× 56 0.5× 47 556
Julio Arévalo‐Pérez 411 0.8× 307 2.0× 141 0.9× 180 1.4× 51 0.5× 38 710
Young Jin Ryu 310 0.6× 83 0.5× 152 1.0× 128 1.0× 48 0.4× 38 624
G. Negrão de Figueiredo 274 0.6× 64 0.4× 223 1.5× 160 1.3× 40 0.4× 44 641
Donghyun Kim 384 0.8× 72 0.5× 151 1.0× 83 0.6× 59 0.5× 33 560
Gada Gaballa 467 1.0× 132 0.9× 86 0.6× 182 1.4× 69 0.6× 13 787
Terje Nome 247 0.5× 168 1.1× 88 0.6× 121 0.9× 9 0.1× 23 660

Countries citing papers authored by Karoline Skogen

Since Specialization
Citations

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

Fields of papers citing papers by Karoline Skogen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karoline Skogen

This figure shows the co-authorship network connecting the top 25 collaborators of Karoline Skogen. A scholar is included among the top collaborators of Karoline Skogen 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 Karoline Skogen. Karoline Skogen 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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