Ben Luijten

932 total citations
10 papers, 218 citations indexed

About

Ben Luijten is a scholar working on Radiology, Nuclear Medicine and Imaging, Mechanics of Materials and Biomedical Engineering. According to data from OpenAlex, Ben Luijten has authored 10 papers receiving a total of 218 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Mechanics of Materials and 6 papers in Biomedical Engineering. Recurrent topics in Ben Luijten's work include Ultrasound Imaging and Elastography (9 papers), Ultrasonics and Acoustic Wave Propagation (6 papers) and Microwave Imaging and Scattering Analysis (3 papers). Ben Luijten is often cited by papers focused on Ultrasound Imaging and Elastography (9 papers), Ultrasonics and Acoustic Wave Propagation (6 papers) and Microwave Imaging and Scattering Analysis (3 papers). Ben Luijten collaborates with scholars based in Netherlands, Israel and Denmark. Ben Luijten's co-authors include Ruud J. G. van Sloun, Yonina C. Eldar, Massimo Mischi, Regev Cohen, Nishith Chennakeshava, Nir Shlezinger, Matthias Bo Stuart, Jørgen Arendt Jensen, Martin D. Verweij and Mikkel Schou and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Medical Imaging and Ultrasound in Medicine & Biology.

In The Last Decade

Ben Luijten

10 papers receiving 218 citations

Peers

Countries citing papers authored by Ben Luijten

Since Specialization

Citations

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

Fields of papers citing papers by Ben Luijten

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ben Luijten

This figure shows the co-authorship network connecting the top 25 collaborators of Ben Luijten. A scholar is included among the top collaborators of Ben Luijten 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 Ben Luijten. Ben Luijten is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

#	Work	Indexed citations
1	Ultrasound Signal Processing: From Models to Deep Learning 2023 ·Ultrasound in Medicine & Biology ·Ben Luijten, Nishith Chennakeshava, Yonina C. Eldar, Massimo Mischi, Ruud J. G. van Sloun	16
2	Deep Task-Based Analog-to-Digital Conversion 2022 ·IEEE Transactions on Signal Processing ·Nir Shlezinger, (unknown), Ben Luijten, Ruud J. G. van Sloun, Yonina C. Eldar	14
3	Improving Lateral Resolution in 3-D Imaging With Micro-beamforming Through Adaptive Beamforming by Deep Learning 2022 ·Ultrasound in Medicine & Biology ·(unknown), Ben Luijten, Deep Bera, Nico de Jong, Martin D. Verweij, Ruud J. G. van Sloun	4
4	A Hybrid Deep Learning Pipeline for Improved Ultrasound Localization Microscopy 2022 ·2022 IEEE International Ultrasonics Symposium (IUS) ·(unknown), (unknown), Ben Luijten, (unknown), (unknown), Shiying Wang, (unknown), Claudia Errico, Massimo Mischi, Nicola Pezzotti, Ruud J. G. van Sloun	3
5	3-D contrast enhanced ultrasound imaging of an in vivo chicken embryo with a sparse array and deep learning based adaptive beamforming 2022 ·2022 IEEE International Ultrasonics Symposium (IUS) ·(unknown), (unknown), Ben Luijten, Hendrik J. Vos, Nico de Jong, Ruud J. G. van Sloun, Martin D. Verweij	1
6	Model-based Deep Learning on Ultrasound Channel Data for Fast Ultrasound Localization Microscopy 2021 ·TU/e Research Portal ·(unknown), Ben Luijten, Mikkel Schou, Matthias Bo Stuart, Yonina C. Eldar, Ruud J. G. van Sloun, Jørgen Arendt Jensen	4
7	Deep Learning Models for Fast Ultrasound Localization Microscopy 2020 ·TU/e Research Portal ·(unknown), Ben Luijten, Matthias Bo Stuart, Yonina C. Eldar, Ruud J. G. van Sloun, Jørgen Arendt Jensen	8
8	Adaptive Ultrasound Beamforming Using Deep Learning 2020 ·IEEE Transactions on Medical Imaging ·Ben Luijten, Regev Cohen, (unknown), (unknown), Massimo Mischi, Yonina C. Eldar, Ruud J. G. van Sloun	124
9	High Resolution Plane Wave Compounding Through Deep Proximal Learning 2020 ·TU/e Research Portal ·Nishith Chennakeshava, Ben Luijten, (unknown), Massimo Mischi, Yonina C. Eldar, Ruud J. G. van Sloun	6
10	Deep Learning for Fast Adaptive Beamforming 2019 ·TU/e Research Portal ·Ben Luijten, Regev Cohen, (unknown), (unknown), Massimo Mischi, Yonina C. Eldar, Ruud J. G. van Sloun	38

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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