Anders Eklund

6.8k total citations · 1 hit paper
76 papers, 4.0k citations indexed

About

Anders Eklund is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Anders Eklund has authored 76 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Radiology, Nuclear Medicine and Imaging, 29 papers in Cognitive Neuroscience and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Anders Eklund's work include Functional Brain Connectivity Studies (27 papers), Advanced MRI Techniques and Applications (25 papers) and Advanced Neuroimaging Techniques and Applications (17 papers). Anders Eklund is often cited by papers focused on Functional Brain Connectivity Studies (27 papers), Advanced MRI Techniques and Applications (25 papers) and Advanced Neuroimaging Techniques and Applications (17 papers). Anders Eklund collaborates with scholars based in Sweden, United States and United Kingdom. Anders Eklund's co-authors include Hans Knutsson, Thomas E. Nichols, Stephen M. LaConte, Paul Dufort, Daniel Forsberg, Mats Andersson, Yun Bai, Christopher B. Williams, Mattias Villani and Mikael Andersson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, NeuroImage and IEEE Access.

In The Last Decade

Anders Eklund

74 papers receiving 3.9k citations

Hit Papers

Cluster failure: Why fMRI inferences for spatial extent h... 2016 2026 2019 2022 2016 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anders Eklund Sweden 19 2.2k 862 540 389 319 76 4.0k
Kristoffer H. Madsen Denmark 43 2.0k 0.9× 933 1.1× 259 0.5× 286 0.7× 134 0.4× 195 6.0k
Kai Wu China 29 1.1k 0.5× 632 0.7× 377 0.7× 405 1.0× 345 1.1× 162 2.8k
Michael Brady United Kingdom 20 1.8k 0.8× 909 1.1× 325 0.6× 298 0.8× 234 0.7× 106 4.1k
Tong Boon Tang Malaysia 28 891 0.4× 757 0.9× 279 0.5× 134 0.3× 183 0.6× 205 3.4k
Craig A. Moodie United States 15 2.2k 1.0× 552 0.6× 617 1.1× 296 0.8× 275 0.9× 24 3.2k
Chang‐Hwan Im South Korea 37 3.8k 1.8× 538 0.6× 435 0.8× 376 1.0× 133 0.4× 266 5.5k
Hui Shen China 35 3.0k 1.4× 1.5k 1.8× 807 1.5× 463 1.2× 172 0.5× 163 4.6k
Aamir Saeed Malik Malaysia 36 2.6k 1.2× 280 0.3× 856 1.6× 127 0.3× 151 0.5× 342 6.4k
Banu Onaral United States 35 1.8k 0.8× 1.8k 2.1× 286 0.5× 243 0.6× 116 0.4× 117 5.3k
Parashkev Nachev United Kingdom 30 3.5k 1.6× 1.1k 1.3× 396 0.7× 677 1.7× 210 0.7× 129 5.6k

Countries citing papers authored by Anders Eklund

Since Specialization
Citations

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

Fields of papers citing papers by Anders Eklund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anders Eklund

This figure shows the co-authorship network connecting the top 25 collaborators of Anders Eklund. A scholar is included among the top collaborators of Anders Eklund 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 Anders Eklund. Anders Eklund 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.
Khawaja, Sajid Gul, et al.. (2025). Knowledge Distillation and Transformer-Based Framework for Automatic Spine CT Report Generation. IEEE Access. 13. 42949–42964. 1 indexed citations
2.
Blystad, Ida, et al.. (2024). Pediatric brain tumor classification using deep learning on MR images with age fusion. Neuro-Oncology Advances. 7(1). vdae205–vdae205. 5 indexed citations
4.
Olausson, Håkan, et al.. (2023). Get a New Perspective on EEG: Convolutional Neural Network Encoders for Parametric t-SNE. Brain Sciences. 13(3). 453–453. 10 indexed citations
5.
Lindahl, Olof, Fredrik Öhberg, Linda Pommer, et al.. (2022). Medtech innovation guide: an empiric model to support medical technology innovation. Health and Technology. 12(5). 911–922. 6 indexed citations
6.
Eklund, Anders, et al.. (2022). Inflation of test accuracy due to data leakage in deep learning-based classification of OCT images. arXiv (Cornell University). 42 indexed citations
7.
Eklund, Anders, et al.. (2022). Diseased thyroid tissue classification inOCTimages using deep learning: Towards surgical decision support. Journal of Biophotonics. 16(2). e202200227–e202200227. 6 indexed citations
8.
Aganj, Iman, et al.. (2021). Characterization Of Spatial Dynamics Of Fmri Data In White Matter Using Diffusion-Informed White Matter Harmonics. PubMed. 2021. 1586–1590. 4 indexed citations
9.
Hedlund, Joel, Anders Eklund, & Claes Lundström. (2020). Key insights in the AIDA community policy on sharing of clinical imaging data for research in Sweden. Scientific Data. 7(1). 331–331. 12 indexed citations
10.
Ahlfors, Magnus, et al.. (2019). HIP for AM - Optimized Material Properties by HIP. Materials research proceedings. 10. 1–10. 6 indexed citations
11.
Gu, Xuan & Anders Eklund. (2019). Evaluation of Six Phase Encoding Based Susceptibility Distortion Correction Methods for Diffusion MRI. Frontiers in Neuroinformatics. 13. 76–76. 12 indexed citations
12.
Eklund, Anders, et al.. (2019). Refacing: Reconstructing Anonymized Facial Features Using GANS. arXiv (Cornell University). 1104–1108. 26 indexed citations
13.
Sadeghi, Esmaeil, Paria Karimi, Soroush Momeni, et al.. (2019). Influence of thermal post treatments on microstructure and oxidation behavior of EB-PBF manufactured Alloy 718. Materials Characterization. 150. 236–251. 46 indexed citations
14.
Eklund, Anders & Magnus Ahlfors. (2018). Heat treatment of PM parts by Hot Isostatic Pressing. Metal Powder Report. 73(3). 163–169. 11 indexed citations
15.
Eklund, Anders & Thomas E. Nichols. (2017). How open science revealed false positives in brain imaging. Significance. 14(1). 30–33. 1 indexed citations
16.
Eklund, Anders. (2017). HOT ISOSTATIC PRESSING OF AM PARTS. 1 indexed citations
17.
Eklund, Anders, Thomas E. Nichols, & Hans Knutsson. (2016). Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates. Proceedings of the National Academy of Sciences. 113(28). 7900–7905. 2482 indexed citations breakdown →
18.
Eklund, Anders, Paul Dufort, Daniel Forsberg, & Stephen M. LaConte. (2013). Medical image processing on the GPU – Past, present and future. Medical Image Analysis. 17(8). 1073–1094. 288 indexed citations
19.
Forsberg, Daniel, Anders Eklund, Mats Andersson, & Hans Knutsson. (2011). Phase-Based Non-Rigid 3D Image Registration - From Minutes to Seconds Using CUDA. KTH Publication Database DiVA (KTH Royal Institute of Technology). 11 indexed citations
20.
Eklund, Anders, Mats Andersson, & Hans Knutsson. (2010). Phase based volume registration using cuda. KTH Publication Database DiVA (KTH Royal Institute of Technology). 658–661. 18 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026