Filip Malmberg

1.8k total citations
45 papers, 609 citations indexed

About

Filip Malmberg is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Computational Mechanics. According to data from OpenAlex, Filip Malmberg has authored 45 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 18 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Computational Mechanics. Recurrent topics in Filip Malmberg's work include Medical Image Segmentation Techniques (21 papers), Digital Image Processing Techniques (8 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Filip Malmberg is often cited by papers focused on Medical Image Segmentation Techniques (21 papers), Digital Image Processing Techniques (8 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Filip Malmberg collaborates with scholars based in Sweden, United States and United Kingdom. Filip Malmberg's co-authors include Robin Strand, Joel Kullberg, Håkan Åhlström, Richard Nordenskjöld, Lars Lind, Krzysztof Chris Ciesielski, Punam K. Saha, Lars Johansson, Elna‐Marie Larsson and Andrew Simmons and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Filip Malmberg

43 papers receiving 584 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Filip Malmberg Sweden 14 219 130 60 50 50 45 609
Lotta M. Ellingsen United States 12 173 0.8× 214 1.6× 116 1.9× 31 0.6× 20 0.4× 27 590
Ana I. L. Namburete United Kingdom 15 138 0.6× 216 1.7× 92 1.5× 25 0.5× 11 0.2× 41 717
Kiyoshi Hoshino Japan 15 113 0.5× 102 0.8× 52 0.9× 23 0.5× 87 1.7× 144 1.0k
Xin Xing China 14 49 0.2× 86 0.7× 38 0.6× 25 0.5× 146 2.9× 56 973
Ting Ma China 15 86 0.4× 194 1.5× 234 3.9× 16 0.3× 28 0.6× 83 657
Kai‐Hsiang Chen Taiwan 16 35 0.2× 64 0.5× 64 1.1× 69 1.4× 49 1.0× 44 763
Jing Wan China 14 77 0.4× 224 1.7× 228 3.8× 15 0.3× 52 1.0× 31 692
Nicolas Toussaint United Kingdom 13 81 0.4× 310 2.4× 69 1.1× 5 0.1× 39 0.8× 23 573
Shaoxiang Zhang China 17 94 0.4× 95 0.7× 90 1.5× 12 0.2× 25 0.5× 55 863
Ethan Waisberg United States 17 54 0.2× 305 2.3× 50 0.8× 22 0.4× 327 6.5× 123 862

Countries citing papers authored by Filip Malmberg

Since Specialization
Citations

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

Fields of papers citing papers by Filip Malmberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Filip Malmberg

This figure shows the co-authorship network connecting the top 25 collaborators of Filip Malmberg. A scholar is included among the top collaborators of Filip Malmberg 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 Filip Malmberg. Filip Malmberg 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.
Avenel, Christophe, et al.. (2024). Points2Regions : Fast, interactive clustering of imaging‐based spatial transcriptomics data. Cytometry Part A. 105(9). 677–687. 2 indexed citations
2.
Malmberg, Filip, et al.. (2023). A whole-body diffusion MRI normal atlas: development, evaluation and initial use. Cancer Imaging. 23(1). 87–87. 2 indexed citations
3.
Kullberg, Joel, et al.. (2022). Improved geometric accuracy of whole body diffusion-weighted imaging at 1.5T and 3T using reverse polarity gradients. Scientific Reports. 12(1). 11605–11605. 3 indexed citations
4.
Malmberg, Filip, et al.. (2022). White matter changes should not exclude patients with idiopathic normal pressure hydrocephalus from shunt surgery. Fluids and Barriers of the CNS. 19(1). 35–35. 11 indexed citations
5.
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
6.
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
7.
8.
Olsson, Pontus, et al.. (2017). Using anti-aliased signed distance fields for generating surgical guides and plates from CT images. Digital Library (University of West Bohemia). 25(1). 11–20. 5 indexed citations
9.
Strand, Robin, Filip Malmberg, L. E. B. Johansson, et al.. (2017). A concept for holistic whole body MRI data analysis, Imiomics. PLoS ONE. 12(2). e0169966–e0169966. 31 indexed citations
10.
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
11.
12.
Nysjö, Johan, Filip Malmberg, Ida‐Maria Sintorn, & Ingela Nyström. (2015). BoneSplit - A 3D Texture Painting Tool for Interactive Bone Separation in CT Images. Digital Library (University of West Bohemia). 23(2). 157–166. 8 indexed citations
13.
Nordenskjöld, Richard, Filip Malmberg, Elna‐Marie Larsson, et al.. (2014). Intracranial volume normalization methods: Considerations when investigating gender differences in regional brain volume. Psychiatry Research Neuroimaging. 231(3). 227–235. 50 indexed citations
14.
Malmberg, Filip, Richard Nordenskjöld, Robin Strand, & Joel Kullberg. (2014). SmartPaint: a tool for interactive segmentation of medical volume images. Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization. 5(1). 36–44. 30 indexed citations
15.
Nordenskjöld, Richard, Filip Malmberg, Elna‐Marie Larsson, et al.. (2013). Intracranial volume estimated with commonly used methods could introduce bias in studies including brain volume measurements. NeuroImage. 83. 355–360. 86 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, Krzysztof Chris Ciesielski, Filip Malmberg, & Punam K. Saha. (2012). The minimum barrier distance. Computer Vision and Image Understanding. 117(4). 429–437. 55 indexed citations
18.
Rönn, Monika, Joel Kullberg, Helén Karlsson, et al.. (2012). Bisphenol A exposure increases liver fat in juvenile fructose-fed Fischer 344 rats. Toxicology. 303. 125–132. 54 indexed citations
19.
Malmberg, Filip, Joakim Lindblad, Nataša Sladoje, & Ingela Nyström. (2010). A graph-based framework for sub-pixel image segmentation. Theoretical Computer Science. 412(15). 1338–1349. 25 indexed citations
20.
Malmberg, Filip, et al.. (2008). An Automated Image Analysis Method for Measuring Fibre Contact in Fibrous and Composite Materials. 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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