Filip Malmberg

1.9k citations
48 papers · 627 · h-index 14

Impact in

Papers in

Filip Malmberg

45 papers receiving 602 citations

Peers

Filip Malmberg
Comparison fields: 5 of 106
  • Computer Vision and Pattern Recognition 213
  • Radiology, Nuclear Medicine and Imaging 88
  • Media Technology 36
  • Health, Toxicology and Mutagenesis 48
  • Computer Graphics and Computer-Aided Design 10
Replace Shaoxiang Zhang with:
Shaoxiang Zhang China
Ana I. L. Namburete United Kingdom
Seong Jae Hwang United States
Zhuangzhi Yan China
Ayşe Betül Oktay Türkiye
Kiyoshi Hoshino Japan
Xiaoxiao Wang China
Fabian Wenzel Germany
Ahmet Bagci United States
Ting Ma China
Filip Malmberg relative to Shaoxiang Zhang China Shaoxiang Zhang's profile →
Citations per field
00.5×4.4×
Shaoxiang Zhang · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201386
2 201256
3 201254
4 201452
5 201731
6 201430
7 201430
8 201025
9 201820
10
Smart Paint : A New Interactive Segmentation Method\\ Applied to MR Prostate Segmentation
201219
11 201319
12 200918
13 201117
14 201316
15 202212
16 202212
17 201611
18 201311
19 201410
20 20199

About Filip Malmberg

Filip Malmberg is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Computational Mechanics, Computer Graphics and Computer-Aided Design and Ophthalmology, having authored 48 papers that have together received 627 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (20 papers), Digital Image Processing Techniques (8 papers), Medical Imaging Techniques and Applications (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Advanced Neural Network Applications (5 papers), 3D Shape Modeling and Analysis (5 papers), Advanced MRI Techniques and Applications (4 papers) and MRI in cancer diagnosis (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (213 citations), Radiology, Nuclear Medicine and Imaging (88 citations), Media Technology (36 citations), Health, Toxicology and Mutagenesis (48 citations) and Computer Graphics and Computer-Aided Design (10 citations). Filip Malmberg has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Joel Kullberg, Robin Strand, Håkan Åhlström, Richard Nordenskjöld, Lars Lind, Krzysztof Chris Ciesielski, Punam K. Saha, Andrew Simmons, Lars Johansson and Elna‐Marie Larsson. Their work appears in journals such as Scientific Reports, PLoS ONE, Journal of Magnetic Resonance Imaging, Computer Vision and Image Understanding and European Journal of Operational Research.

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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