Ingerid Reinertsen

2.0k total citations
56 papers, 1.2k citations indexed

About

Ingerid Reinertsen is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ingerid Reinertsen has authored 56 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Radiology, Nuclear Medicine and Imaging, 28 papers in Genetics and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ingerid Reinertsen's work include Glioma Diagnosis and Treatment (28 papers), Radiomics and Machine Learning in Medical Imaging (22 papers) and Medical Image Segmentation Techniques (10 papers). Ingerid Reinertsen is often cited by papers focused on Glioma Diagnosis and Treatment (28 papers), Radiomics and Machine Learning in Medical Imaging (22 papers) and Medical Image Segmentation Techniques (10 papers). Ingerid Reinertsen collaborates with scholars based in Norway, Sweden and Canada. Ingerid Reinertsen's co-authors include Ole Solheim, Geirmund Unsgård, Asgeir Store Jakola, Frank Lindseth, Erik Magnus Berntsen, D. Louis Collins, Tormod Selbekk, Hassan Rivaz, Lisa Millgård Sagberg and Yiming Xiao and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Ingerid Reinertsen

51 papers receiving 1.2k citations

Peers

Ingerid Reinertsen
Comparison fields: 5 of 89
  • Radiology, Nuclear Medicine and Imaging 613
  • Genetics 472
  • Biomedical Engineering 323
  • Computer Vision and Pattern Recognition 295
  • Surgery 160
Replace Alexander Hartov with:
Alexander Hartov United States
David T. Gering United States
Steinar Ommedal Norway
Toril A. Nagelhus Hernes Norway
Peter McLaren Black United States
Daoying Geng China
Tormod Selbekk Norway
Marc C. Mabray United States
Leonard Sunwoo South Korea
C. Trantakis Germany
Alexander Hartov United States View profile →
Citations per field, relative to Ingerid Reinertsen
Ingerid Reinertsen · 1×
Citations per year, relative to Ingerid Reinertsen
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Countries citing papers authored by Ingerid Reinertsen

Since Specialization
Citations

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

Fields of papers citing papers by Ingerid Reinertsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ingerid Reinertsen

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 2
4 1
5 2
6 3
7 3
8 12
9 0
10 1
11 17
12 42
13 10
14 11
15 7
16 55
17 37
18 43
19 124
20 15

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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