Robin Strand

2.8k total citations
106 papers, 1.0k citations indexed

About

Robin Strand is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Physiology. According to data from OpenAlex, Robin Strand has authored 106 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Computer Vision and Pattern Recognition, 29 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Physiology. Recurrent topics in Robin Strand's work include Medical Image Segmentation Techniques (48 papers), Digital Image Processing Techniques (32 papers) and Radiomics and Machine Learning in Medical Imaging (17 papers). Robin Strand is often cited by papers focused on Medical Image Segmentation Techniques (48 papers), Digital Image Processing Techniques (32 papers) and Radiomics and Machine Learning in Medical Imaging (17 papers). Robin Strand collaborates with scholars based in Sweden, India and Hungary. Robin Strand's co-authors include Joel Kullberg, Håkan Åhlström, Filip Malmberg, Gunilla Borgefors, Punam K. Saha, Benedek Nagy, E. Hayman, Krzysztof Chris Ciesielski, Lars Lind and Göran Bergström and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Robin Strand

95 papers receiving 983 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robin Strand Sweden 19 438 237 169 110 92 106 1.0k
Dana Cobzaş Canada 17 347 0.8× 243 1.0× 202 1.2× 55 0.5× 77 0.8× 54 943
Qiang Zheng China 15 199 0.5× 215 0.9× 56 0.3× 28 0.3× 160 1.7× 59 856
E. Bullitt United States 13 712 1.6× 540 2.3× 53 0.3× 96 0.9× 200 2.2× 21 1.5k
Kálmán Palágyi Hungary 14 564 1.3× 222 0.9× 60 0.4× 30 0.3× 72 0.8× 41 1.1k
Hans‐Peter Meinzer Germany 20 601 1.4× 287 1.2× 47 0.3× 95 0.9× 415 4.5× 132 1.4k
Tingying Peng Germany 15 318 0.7× 473 2.0× 90 0.5× 52 0.5× 219 2.4× 44 1.3k
Margarida Silveira Portugal 17 266 0.6× 135 0.6× 46 0.3× 41 0.4× 152 1.7× 58 1.2k
Tryphon Lambrou United Kingdom 14 401 0.9× 274 1.2× 40 0.2× 32 0.3× 92 1.0× 34 921
Mehul Sampat United States 16 504 1.2× 272 1.1× 78 0.5× 28 0.3× 95 1.0× 37 1.3k
Olivier Commowick France 24 693 1.6× 787 3.3× 64 0.4× 32 0.3× 292 3.2× 73 1.7k

Countries citing papers authored by Robin Strand

Since Specialization
Citations

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

Fields of papers citing papers by Robin Strand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robin Strand

This figure shows the co-authorship network connecting the top 25 collaborators of Robin Strand. A scholar is included among the top collaborators of Robin Strand 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 Robin Strand. Robin Strand 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.
2.
Svensson, Maria, Robin Strand, Joel Kullberg, et al.. (2025). Causal effects of obesity on estimated glomerular filtration rate: a Mendelian randomization and image data analysis study. Clinical Kidney Journal. 18(5). sfaf116–sfaf116.
3.
Banerjee, Subhashis, et al.. (2024). Streamlining neuroradiology workflow with AI for improved cerebrovascular structure monitoring. Scientific Reports. 14(1). 9245–9245. 2 indexed citations
4.
Ahmad, Nouman, et al.. (2024). Whole-body tumor segmentation from FDG-PET/CT: Leveraging a segmentation prior from tissue-wise projections. Heliyon. 11(1). e41038–e41038. 1 indexed citations
5.
Strand, Robin, et al.. (2024). Classification of rotation-invariant biomedical images using equivariant neural networks. Scientific Reports. 14(1). 14995–14995. 1 indexed citations
6.
Toumpanakis, Dimitrios, et al.. (2024). Atten‐SEVNETR for volumetric segmentation of glioblastoma and interactive refinement to limit over‐segmentation. IET Image Processing. 18(14). 4928–4943.
7.
Strand, Robin, et al.. (2022). Patient specific deep learning based segmentation for magnetic resonance guided prostate radiotherapy. Physics and Imaging in Radiation Oncology. 23. 38–42. 23 indexed citations
8.
Ahnesjö, Anders, et al.. (2021). Intrafractional motion models based on principal components in Magnetic Resonance guided prostate radiotherapy. Physics and Imaging in Radiation Oncology. 20. 17–22. 4 indexed citations
9.
Guglielmo, Priscilla, Simon Ekström, Robin Strand, et al.. (2020). Validation of automated whole-body analysis of metabolic and morphological parameters from an integrated FDG-PET/MRI acquisition. Scientific Reports. 10(1). 5331–5331. 5 indexed citations
10.
Strand, Robin, Joel Kullberg, Håkan Åhlström, & Lars Lind. (2020). Relationships between plasma levels and six proinflammatory interleukins and body composition using a new magnetic resonance imaging voxel-based technique. SHILAP Revista de lepidopterología. 3(1). 100050–100050. 5 indexed citations
11.
Ekström, Simon, Robin Strand, Håkan Åhlström, et al.. (2019). A whole-body FDG PET/MR atlas for multiparametric voxel-based analysis. Scientific Reports. 9(1). 6158–6158. 9 indexed citations
12.
Manell, Hannes, Robin Strand, Anders Forslund, et al.. (2019). Brown adipose tissue estimated with the magnetic resonance imaging fat fraction is associated with glucose metabolism in adolescents. Pediatric Obesity. 14(9). e12531–e12531. 11 indexed citations
13.
Vacavant, Antoine, et al.. (2019). A robust multi-variability model based liver segmentation algorithm for CT-scan and MRI modalities. Computerized Medical Imaging and Graphics. 76. 101635–101635. 13 indexed citations
14.
Adler, Jeremy, Ida‐Maria Sintorn, Robin Strand, & Ingela Parmryd. (2018). Conventional analysis of movement on non-flat surfaces like the plasma membrane makes Brownian motion appear anomalous. Communications Biology. 2(1). 12–12. 16 indexed citations
15.
Malmberg, Filip, Cris L. Luengo Hendriks, & Robin Strand. (2016). Exact evaluation of targeted stochastic watershed cuts. Discrete Applied Mathematics. 216. 449–460. 5 indexed citations
16.
Malmberg, Filip, Robin Strand, Joel Kullberg, Richard Nordenskjöld, & Ewert Bengtsson. (2012). Smart Paint : A New Interactive Segmentation Method\\ Applied to MR Prostate Segmentation. 19 indexed citations
17.
Strand, Robin & Benedek Nagy. (2011). A weighted neighbourhood sequence distance function with three local steps. University of Debrecen Electronic Archive (University of Debrecen). 564–568.
18.
Strand, Robin & Benedek Nagy. (2009). Path-based distance functions in n-dimensional generalizations of the face- and body-centered cubic grids. Discrete Applied Mathematics. 157(16). 3386–3400. 5 indexed citations
19.
Strand, Robin. (2008). Weighted distances based on neighborhood sequences for point-lattices. Discrete Applied Mathematics. 157(4). 641–652. 6 indexed citations
20.
Strand, Robin, et al.. (2007). Topology Preserving Marching Cubes-like Algorithms on the Face-Centered Cubic Grid. 781–788. 8 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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