Erlend Hodneland

1.9k citations
61 papers · 1.4k indexed · h-index 21

Erlend Hodneland

58 papers receiving 1.4k citations

Peers

Erlend Hodneland
Comparison fields: 5 of 139
  • Radiology, Nuclear Medicine and Imaging 446
  • Biophysics 75
  • Obstetrics and Gynecology 98
  • Cell Biology 140
  • Computer Vision and Pattern Recognition 148
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Citations per year

Countries citing papers authored by Erlend Hodneland

Since Specialization
Citations

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

Fields of papers citing papers by Erlend Hodneland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20230
3 20227
4 202126
5 201919
6 201815
7 20185
8 201515
9 201510
10 20157
11 201344
12
Fast marching tractography from multiple diffusion sensitizing directions in MR-DTI from the brain
20112
13
In vivo estimation of glomerular filtration in the kidney using DCE-MRI
201115
14
Automated workflow for spatial alignment of multimodal MR image acquisitions in a longitudinal study of cognitive aging
20101
15 2010123
16 200913
17 200928
18 2009183
19 200815
20 2006121

About Erlend Hodneland

Erlend Hodneland is a scholar working on Computational Mathematics, Radiology, Nuclear Medicine and Imaging, Biophysics, Obstetrics and Gynecology and Computer Vision and Pattern Recognition, having authored 61 papers that have together received 1.4k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (17 papers), Advanced MRI Techniques and Applications (17 papers), Radiomics and Machine Learning in Medical Imaging (12 papers), Advanced Neuroimaging Techniques and Applications (11 papers), Medical Image Segmentation Techniques (10 papers), Endometrial and Cervical Cancer Treatments (8 papers), Cell Image Analysis Techniques (6 papers) and Cellular transport and secretion (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (446 citations), Biophysics (75 citations), Obstetrics and Gynecology (98 citations), Cell Biology (140 citations) and Computer Vision and Pattern Recognition (148 citations). Erlend Hodneland has collaborated with scholars based in Norway, Germany and United States. Frequent co-authors include Arvid Lundervold, Hans‐Hermann Gerdes, Nickolay V. Bukoreshtliev, João Filipe Barroso, Xiang Wang, Astri J. Lundervold, Judit Haász, Martin Ystad, Jarle Rørvik and Tanja Kögel. Their work appears in journals such as Scientific Reports, NeuroImage, American Journal of Roentgenology, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Medical Imaging.

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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