Lars Kai Hansen

18.9k citations
332 papers · 11.8k indexed · 2 hit papers · h-index 46

Impact in

Papers in

Lars Kai Hansen

310 papers receiving 11.2k citations

Hit Papers

Explainable AI: Interpreting, Explaining and Visualizing Deep Learning 2019 · 876 citations
876199020262002201450010001.5k2.0k2.5k

Peers

Lars Kai Hansen
Comparison fields: 5 of 219
  • Computational Mathematics 362
  • Signal Processing 1.8k
  • Cognitive Neuroscience 2.9k
  • Artificial Intelligence 3.7k
  • Biophysics 500
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Citations per field
00.5×3.1×
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Citations per year

Countries citing papers authored by Lars Kai Hansen

Since Specialization
Citations

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

Fields of papers citing papers by Lars Kai Hansen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lars Kai Hansen. 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 Lars Kai Hansen. The network helps show where Lars Kai Hansen may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202032
2
Bayesian Inference for Spatio-temporal Spike-and-Slab Priors
201717
3
Bayesian Inference for Structured Spike and Slab Priors
201426
4
Probabilistic M/EEG source imaging from sparse spatio-temporal event structure
20121
5
Latent Causal Modelling of Neuroimaging Data
20092
6
Sparse but emotional decomposition of lyrics
20090
7
Sparse Coding and Automatic Relevance Determination for Multi-way models
20093
8
Deterministic Modularity Optimization
200734
9 20069
10
Decomposing the time-frequency representation of EEG using non-negative matrix and multi-way factorization
200628
11
A Harmonic Excitation State-Space Approach to Blind Separation of Speech
20045
12
Mining Posterior Cingulate
20042
13
Mean Field Implementation Of Bayesian ICA
20019
14
Signal Detection using ICA: Application to Chat Room Topic Spotting
200148
15
Ensemble Learning and Linear Response Theory for ICA
20002
16
Bayesian Averaging is Well-Temperated
19996
17
Bayesian Modelling of fMRI lime Series
199919
18
Detection of Malignant Melanoma using Neural Classifiers
19961
19
Pruning with generalization based weight saliencies: gamma-OBD, gamma-OBS.
19958
20
Recurrent Networks: Second Order Properties and Pruning
199415

About Lars Kai Hansen

Lars Kai Hansen is a scholar working on Computational Mathematics, Signal Processing, Cognitive Neuroscience, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 332 papers that have together received 11.8k indexed citations. Recurring topics across this work include Blind Source Separation Techniques (69 papers), Neural Networks and Applications (63 papers), Functional Brain Connectivity Studies (55 papers), Neural dynamics and brain function (44 papers), EEG and Brain-Computer Interfaces (29 papers), Speech and Audio Processing (26 papers), Advanced MRI Techniques and Applications (25 papers) and Spectroscopy and Chemometric Analyses (17 papers). The work is most often cited by research in Computational Mathematics (362 citations), Signal Processing (1.8k citations), Cognitive Neuroscience (2.9k citations), Artificial Intelligence (3.7k citations) and Biophysics (500 citations). Lars Kai Hansen has collaborated with scholars based in Denmark, United States and United Kingdom. Frequent co-authors include Peter Salamon, Morten Mørup, Finn Årup Nielsen, Jan Larsen, Stephen C. Strother, Cyril Goutte, Andrea Vedaldi, Grégoire Montavon, Wojciech Samek and Klaus‐Robert Müller. Their work appears in journals such as NeuroImage, Neural Computation, IEEE Transactions on Medical Imaging, Human Brain Mapping and Magnetic Resonance in Medicine.

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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