Erling Andersen

416 total citations
22 papers, 251 citations indexed

About

Erling Andersen is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Erling Andersen has authored 22 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Erling Andersen's work include MRI in cancer diagnosis (15 papers), Advanced MRI Techniques and Applications (9 papers) and Advanced Neuroimaging Techniques and Applications (7 papers). Erling Andersen is often cited by papers focused on MRI in cancer diagnosis (15 papers), Advanced MRI Techniques and Applications (9 papers) and Advanced Neuroimaging Techniques and Applications (7 papers). Erling Andersen collaborates with scholars based in Norway, Czechia and United States. Erling Andersen's co-authors include Jarle Rørvik, Arvid Lundervold, Erlend Hodneland, Einar Svarstad, Eli Eikefjord, Ole J. Halvorsen, Torfinn Taxt, Radovan Jiřík, Lars A. R. Reisæter and Christian Beisland and has published in prestigious journals such as JAMA, Scientific Reports and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Erling Andersen

22 papers receiving 248 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Erling Andersen Norway 10 178 74 32 21 20 22 251
Viola De Luca Italy 11 170 1.0× 116 1.6× 39 1.2× 16 0.8× 23 1.1× 24 362
Aaron Nelson United States 9 225 1.3× 126 1.7× 34 1.1× 15 0.7× 3 0.1× 22 310
Ivan A. Blokhin Russia 8 165 0.9× 48 0.6× 39 1.2× 12 0.6× 5 0.3× 44 227
Paul A. Armitage United Kingdom 8 219 1.2× 46 0.6× 25 0.8× 28 1.3× 15 0.8× 10 328
Youmin Guo China 11 524 2.9× 73 1.0× 69 2.2× 13 0.6× 13 0.7× 33 600
Rita Simões Netherlands 10 223 1.3× 87 1.2× 60 1.9× 32 1.5× 3 0.1× 30 309
Christian Bracco Italy 9 243 1.4× 87 1.2× 48 1.5× 9 0.4× 12 0.6× 26 334
Nathan Cross United States 8 184 1.0× 28 0.4× 93 2.9× 12 0.6× 5 0.3× 34 288
Hirotaka Takita Japan 14 252 1.4× 37 0.5× 35 1.1× 13 0.6× 33 1.6× 33 480
You‐Zhen Feng China 11 235 1.3× 71 1.0× 61 1.9× 2 0.1× 33 1.6× 30 333

Countries citing papers authored by Erling Andersen

Since Specialization
Citations

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

Fields of papers citing papers by Erling Andersen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erling Andersen

This figure shows the co-authorship network connecting the top 25 collaborators of Erling Andersen. A scholar is included among the top collaborators of Erling Andersen 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 Erling Andersen. Erling Andersen 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
1.
Hodneland, Erlend, Erling Andersen, Kari S. Wagner‐Larsen, et al.. (2024). Impact of MRI radiomic feature normalization for prognostic modelling in uterine endometrial and cervical cancers. Scientific Reports. 14(1). 16826–16826. 5 indexed citations
2.
Andersen, Erling, John‐Anker Zwart, Helena Brisby, et al.. (2023). Multi-Center CNN-Based Spine Segmentation from T2W MRI Using Small Amounts of Data. 1–5. 1 indexed citations
3.
Tveiten, Øystein Vesterli, Anette Storstein, Karl Ove Hufthammer, et al.. (2023). Upfront Radiosurgery vs a Wait-and-Scan Approach for Small- or Medium-Sized Vestibular Schwannoma. JAMA. 330(5). 421–421. 17 indexed citations
4.
Vetti, Nils, John‐Anker Zwart, Kjersti Storheim, et al.. (2022). Apparent diffusion coefficient values in Modic changes – interobserver reproducibility and relation to Modic type. BMC Musculoskeletal Disorders. 23(1). 695–695. 4 indexed citations
5.
Hodneland, Erlend, Kari S. Wagner‐Larsen, Erling Andersen, et al.. (2022). Fully Automatic Whole-Volume Tumor Segmentation in Cervical Cancer. Cancers. 14(10). 2372–2372. 15 indexed citations
6.
Andersen, Erling, et al.. (2022). Dixon T2 imaging of vertebral bone edema: reliability and comparison with short tau inversion recovery. Acta Radiologica. 65(3). 273–283. 5 indexed citations
7.
Andersen, Erling. (2022). Imagedata: A Python library to handle medical imagedata in NumPy array subclass Series. The Journal of Open Source Software. 7(73). 4133–4133. 6 indexed citations
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10.
Hodneland, Erlend, Eirik Keilegavlen, Erling Andersen, et al.. (2018). In Vivo Detection of Chronic Kidney Disease Using Tissue Deformation Fields From Dynamic MR Imaging. IEEE Transactions on Biomedical Engineering. 66(6). 1779–1790. 15 indexed citations
11.
Taxt, Torfinn, Rolf K. Reed, Tina Pavlin, et al.. (2017). Semi-parametric arterial input functions for quantitative dynamic contrast enhanced magnetic resonance imaging in mice. Magnetic Resonance Imaging. 46. 10–20. 3 indexed citations
12.
Eikefjord, Eli, et al.. (2017). Workflow sensitivity of post-processing methods in renal DCE-MRI. Magnetic Resonance Imaging. 42. 60–68. 5 indexed citations
13.
Eikefjord, Eli, Erling Andersen, Erlend Hodneland, et al.. (2016). Quantification of Single-Kidney Function and Volume in Living Kidney Donors Using Dynamic Contrast-Enhanced MRI. American Journal of Roentgenology. 207(5). 1022–1030. 13 indexed citations
14.
Eikefjord, Eli, Erling Andersen, Erlend Hodneland, et al.. (2016). Dynamic contrast-enhanced MRI measurement of renal function in healthy participants. Acta Radiologica. 58(6). 748–757. 21 indexed citations
15.
Eikefjord, Eli, Erling Andersen, Erlend Hodneland, et al.. (2015). Use of 3D DCE-MRI for the Estimation of Renal Perfusion and Glomerular Filtration Rate: An Intrasubject Comparison of FLASH and KWIC With a Comprehensive Framework for Evaluation. American Journal of Roentgenology. 204(3). W273–W281. 24 indexed citations
16.
Taxt, Torfinn, Tina Pavlin, Rolf K. Reed, et al.. (2015). Using Single-Channel Blind Deconvolution to Choose the Most Realistic Pharmacokinetic Model in Dynamic Contrast-Enhanced MR Imaging. Applied Magnetic Resonance. 46(6). 643–659. 5 indexed citations
17.
Taxt, Torfinn, Radovan Jiřík, Cecilie Brekke Rygh, et al.. (2012). Single-Channel Blind Estimation of Arterial Input Function and Tissue Impulse Response in DCE-MRI. IEEE Transactions on Biomedical Engineering. 59(4). 1012–1021. 25 indexed citations
18.
Andersen, Erling, et al.. (2012). Markowitz portfolio optimization using MOSEK. MOSEK Technical report: TR-2009-2. 1 indexed citations
19.
Hodneland, Erlend, et al.. (2011). In vivo estimation of glomerular filtration in the kidney using DCE-MRI. 755–761. 15 indexed citations
20.
Matre, Knut, Lars Ersland, Terje H. Larsen, & Erling Andersen. (2002). In Vitro Agreement between Magnetic Resonance Imaging and Intraluminal Doppler Ultrasound for High Flow Velocity Measurements. Scandinavian Cardiovascular Journal. 36(3). 180–186. 2 indexed citations

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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