World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
31
Citations
5270
World Ranking
9661
National Ranking
108

Overview

Rasmus Larsen is affiliated with the Technical University of Denmark in Denmark. Their research primarily focuses on the field of Physics and Astronomy, with significant contributions across various subfields including Statistical and Nonlinear Physics, Ecology, Evolution, Behavior and Systematics, Atomic and Molecular Physics and Optics, Artificial Intelligence, and Genetics.

The scientist's work covers a diverse range of topics that reflect interdisciplinary interests. Key areas include Neural Networks and Reservoir Computing, Quantum chaos and dynamical systems, Insect and Arachnid Ecology and Behavior, Animal Behavior and Reproduction, stochastic dynamics and bifurcation, Plant and animal studies, and Nanoplatforms for cancer theranostics.

Rasmus Larsen has been involved in several publications between 2020 and 2025. Notable recent papers include:

  • Adaptive radiation and social evolution of the ants, 2025, Cell
  • Multimodal soft tissue markers for bridging high-resolution diagnostic imaging with therapeutic intervention, 2020, Science Advances
  • Canalized gene expression during development mediates caste differentiation in ants, 2022, Research Square
  • Towards learning optimized kernels for complex Langevin, 2022, arXiv
  • Kernel controlled real-time Complex Langevin simulation, 2023, Proceedings of The 39th International Symposium on Lattice Field Theory - PoS(LATTICE2022)

Their frequent coauthors include Alexander Rothkopf, Daniel Alvestad, Guo Ding, Qionghua Gao, and Wei Jiang. These collaborations have contributed to the breadth of Larsen's research output across high-impact venues and preprint archives.

Larsen's publications have appeared most frequently in the following venues:

  • arXiv (Cornell University)
  • Cell
  • Science Advances
  • Research Square
  • Proceedings of The 39th International Symposium on Lattice Field Theory - PoS(LATTICE2022)

Best Publications

  • Time-of-Flight Cameras in Computer Graphics

    Andreas Kolb;Erhardt Barth;Reinhard Koch;Rasmus Larsen

  • FAME-a flexible appearance modeling environment

    M.B. Stegmann;B.K. Ersboll;R. Larsen

  • Time-of-Flight Sensors in Computer Graphics

    Andreas Kolb;Erhardt Barth;Reinhard Koch;Rasmus Larsen

  • Shape analysis using the auto diffusion function

    K. Gębal;J. A. Bærentzen;H. Aanæs;R. Larsen

  • Fusion of stereo vision and Time-Of-Flight imaging for improved 3D estimation

    Sigurjon Arni Gudmundsson;Henrik Aanaes;Rasmus Larsen

  • Multi-band Modelling of Appearance

    Mikkel Bille Stegmann;Rasmus Larsen

  • Visceral and subcutaneous adipose tissue assessed by magnetic resonance imaging in relation to circulating androgens, sex hormone-binding globulin, and luteinizing hormone in young men.

    Torben Leo Nielsen;Claus Hagen;Kristian Wraae;Kim Brixen

  • Environmental Effects on Measurement Uncertainties of Time-of-Flight Cameras

    S.A. Guomundsson;H. Aanaes;R. Larsen

  • An Ensemble of 2D Convolutional Neural Networks for Tumor Segmentation

    Mark Lyksborg;Oula Puonti;Mikael Agn;Rasmus Larsen

  • Motion Tracking for Medical Imaging: A Nonvisible Structured Light Tracking Approach

    Oline Vinter Olesen;R. R. Paulsen;L. Hojgaard;B. Roed

  • Three-dimensional MRI-linac intra-fraction guidance using multiple orthogonal cine-MRI planes

    Troels Bjerre;Sjoerd Crijns;Per Munck af Rosenschöld;Marianne Aznar

  • Markov Random Field Surface Reconstruction

    Rasmus R Paulsen;Jakob Andreas Baerentzen;Rasmus Larsen

  • HEp-2 cell classification using shape index histograms with donut-shaped spatial pooling.

    Anders Boesen Lindbo Larsen;Jacob Schack Vestergaard;Rasmus Larsen

  • Shape and Texture Based Classification of Fish Species

    Rasmus Larsen;Hildur Olafsdottir;Bjarne Kjær Ersbøll

  • List-Mode PET Motion Correction Using Markerless Head Tracking: Proof-of-Concept With Scans of Human Subject

    O. V. Olesen;J. M. Sullivan;T. Mulnix;R. R. Paulsen

  • Analysis of pregerminated barley using hyperspectral image analysis.

    Morten Arngren;Per Waaben Hansen;Birger Eriksen;Jan Larsen

  • A framework for automatic segmentation in three dimensions of microstructural tomography data

    Peter Stanley Jørgensen;Karin Vels Hansen;Rasmus Larsen;Jacob R. Bowen

  • Novelty detection of foreign objects in food using multi-modal X-ray imaging

    Hildur Einarsdottir;Monica Jane Emerson;Line Katrine Harder Clemmensen;Kai Scherer

  • TOF imaging in Smart room environments towards improved people tracking

    S.A. Guomundsson;R. Larsen;H. Aanaes;M. Pardas

  • An Active Illumination and Appearance (AIA) Model for Face Alignment

    F. Kahraman;M. Gokmen;S. Darkner;R. Larsen

  • Decomposition using maximum autocorrelation factors

    Rasmus Larsen

  • Estimation of dense image flow fields in fluids

    R. Larsen;K. Conradsen;B.K. Ersboll

  • Sparse Decomposition and Modeling of Anatomical Shape Variation

    K. Sjostrand;E. Rostrup;C. Ryberg;R. Larsen

  • Learning Dictionaries of Discriminative Image Patches

    Anders Lindbjerg Dahl;Rasmus Larsen

  • Convolution approach for feature detection in topological skeletons obtained from vascular patterns

    Martin Aastrup Olsen;Daniel Hartung;Christoph Busch;Rasmus Larsen

  • Adaptive parametrization of multivariate B-splines for image registration

    M.S. Hansen;R. Larsen;B. Glocker;N. Navab

Frequent Co-Authors

Lena Specht
Lena Specht University of Copenhagen
Kim Brixen
Kim Brixen University of Southern Denmark
Mads Nielsen
Mads Nielsen University of Copenhagen
Per Soelberg Sørensen
Per Soelberg Sørensen University of Copenhagen
Henrik Larsson
Henrik Larsson Karolinska Institute
Alejandro F. Frangi
Alejandro F. Frangi University of Manchester
Erhardt Barth
Erhardt Barth University of Lübeck
Christoph Busch
Christoph Busch Norwegian University of Science and Technology
Jakob Birkedal Wagner
Jakob Birkedal Wagner Technical University of Denmark
Thomas Willum Hansen
Thomas Willum Hansen Technical University of Denmark

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring the field of Engineering and Technology opens doors to a broad range of related online degrees and career pathways. Students interested in technical support roles may find the associate in office administration a great starting point. This program builds vital organizational and communication skills essential for supporting engineering teams.

For those seeking a broader business perspective, a business administration online degree offers a strong foundation in management, finance, and operations. This credential can complement technical expertise and enhance career flexibility.

Individuals aiming for leadership roles in tech organizations often benefit from an organizational management degree online. This advanced degree focuses on strategic decision-making and people management in technical environments.

Engineering and technology professionals can also accelerate their careers with an online mba in operations management programs degree. It blends management principles with analytical problem-solving tailored for operations-intensive industries.

These related pathways help students expand their skills, making them versatile and competitive in the evolving technology landscape.

Best Scientists Citing Rasmus Larsen

Trending Scientists

Recently Published Articles