2026 Jan Larsen: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	41	8888	8637	40	38	207	6608

Research.com Recognitions

2009 - ACM Senior Member

Overview

Jan Larsen is affiliated with the Technical University of Denmark in Denmark. Their research primarily spans the fields of Medicine and Biochemistry, Genetics and Molecular Biology, with focused subfields including Surgery, Biophysics, Public Health, Environmental and Occupational Health, Genetics, and Immunology.

The scientist's work covers a range of topics, notably:

Chronic Lymphocytic Leukemia Research
Immunodeficiency and Autoimmune Disorders
Lymphoma Diagnosis and Treatment
Seaweed-derived Bioactive Compounds
Food and Agricultural Sciences
Protein Hydrolysis and Bioactive Peptides
Spectroscopy and Chemometric Analyses

Jan Larsen has contributed to several recent papers, including:

"Machine learning can identify newly diagnosed patients with CLL at high risk of infection", 2020, Nature Communications
"Multi-Extraction and Quality of Protein and Carrageenan from Commercial Spinosum (Eucheuma denticulatum)", 2020, Foods
"Subjective recovery from pregnancy-related pelvic girdle pain the first 6 weeks after delivery: a prospective longitudinal cohort study", 2020, European Spine Journal
"Predicting pectin performance strength using near-infrared spectroscopic data: A comparative evaluation of 1-D convolutional neural network, partial least squares, and ridge regression modeling", 2021, Journal of Chemometrics
"Cardiac energetics and end-organ perfusion with veno-arterial extracorporeal membrane oxygenation versus ecmella for cardiogenic shock in a large animal model", 2023, European Heart Journal

Frequent publication venues for their work include:

European Heart Journal
Nature Communications
Foods
Journal of Chemometrics
European Spine Journal

Larsen collaborates regularly with a number of coauthors, among them:

Peter Frederiksen
Louise Linde
Emilie Gregers
O K L Helgestad
Ann Banke

Jan Larsen was recognized as an ACM Senior Member in 2009.

Best Publications

Convolutive Blind Source Separation Methods

Michael Syskind Pedersen;Jan Larsen;Ulrik Kjems;Lucas C. Parra

456
Citations
Detection of skin cancer by classification of Raman spectra

S. Sigurdsson;P.A. Philipsen;L.K. Hansen;J. Larsen

386
Citations
A SURVEY OF CONVOLUTIVE BLIND SOURCE SEPARATION METHODS

Michael Syskind Pedersen;Jan Larsen;Ulrik Kjems;Lucas C. Parra

343
Citations
ICA of functional MRI data: an overview.

Vince D. Calhoun;Tülay Adali;Lars Kai Hansen;Jan Larsen

249
Citations
Development and validation of a colorimetric sensor array for fish spoilage monitoring

Mohamed K. Morsy;Kinga Zór;Nathalie Kostesha;Tommy Sonne Alstrøm

241
Citations
Generalizable patterns in neuroimaging: how many principal components?

Lars Kai Hansen;Jan Larsen;Finn Årup Nielsen;Stephen C. Strother

233
Citations
Temporal Feature Integration for Music Genre Classification

A. Meng;P. Ahrendt;J. Larsen;L.K. Hansen

211
Citations
Wind Noise Reduction using Non-Negative Sparse Coding

M.N. Schmidt;J. Larsen;Fu-Tien Hsiao

210
Citations
Propagation of uncertainty in Bayesian kernel models - application to multiple-step ahead forecasting

J.Q. Candela;A. Girard;J. Larsen;C.E. Rasmussen

193
Citations
Deep Learning and Music Adversaries

Corey Kereliuk;Bob L. Sturm;Jan Larsen

161
Citations
Heterotrophic bacteria growing in association with Methylococcus capsulatus (Bath) in a single cell protein production process

Harald Bothe;K. Møller Jensen;A. Mergel;J. Larsen

140
Citations
Comparison of PCA and ICA based clutter reduction in GPR systems for anti-personal landmine detection

B. Karlsen;J. Larsen;H.B.D. Sorensen;K.B. Jakobsen

139
Citations
An Electronic Patch for Wearable Health Monitoring by Reflectance Pulse Oximetry

R. G. Haahr;S. B. Duun;M. H. Toft;B. Belhage

133
Citations
Generalization performance of regularized neural network models

J. Larsen;L.K. Hansen

127
Citations
Two-Microphone Separation of Speech Mixtures

M.S. Pedersen;DeLiang Wang;J. Larsen;U. Kjems

120
Citations
Machine learning can identify newly diagnosed patients with CLL at high risk of infection.

Rudi Agius;Rudi Agius;Christian Brieghel;Michael A. Andersen;Alexander T. Pearson

117
Citations
On design and evaluation of tapped-delay neural network architectures

C. Svarer;L.K. Hansen;J. Larsen

110
Citations
Multimedia Image and Video Processing

Ling Guan;S. Y. Kung;Jan Larsen

100
Citations
Adaptive Regularization in Neural Network Modeling

Jan Larsen;Claus Svarer;Lars Nonboe Andersen;Lars Kai Hansen

99
Citations
Blind detection of independent dynamic components

L.K. Hansen;J. Larsen;T. Kolenda

98
Citations

Frequent Co-Authors

Lars Kai Hansen Technical University of Denmark

Anja Boisen Technical University of Denmark

Tulay Adali University of Maryland, Baltimore County

Cyril Goutte National Research Council Canada

Claus Svarer Copenhagen University Hospital

Rikke S. Møller University of Southern Denmark

Carl Edward Rasmussen University of Cambridge

Marc M. Van Hulle KU Leuven

Helle Hjalgrim University of Copenhagen

Thomas Thundat University at Buffalo, State University of New York

External Links

Personal website of Jan Larsen Google Scholar page

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