Jan Larsen

34.4k total citations · 5 hit papers
439 papers, 25.0k citations indexed

About

Jan Larsen is a scholar working on Neurology, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Jan Larsen has authored 439 papers receiving a total of 25.0k indexed citations (citations by other indexed papers that have themselves been cited), including 166 papers in Neurology, 66 papers in Artificial Intelligence and 56 papers in Signal Processing. Recurrent topics in Jan Larsen's work include Parkinson's Disease Mechanisms and Treatments (155 papers), Neurological disorders and treatments (66 papers) and Neural Networks and Applications (38 papers). Jan Larsen is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (155 papers), Neurological disorders and treatments (66 papers) and Neural Networks and Applications (38 papers). Jan Larsen collaborates with scholars based in Norway, Denmark and United States. Jan Larsen's co-authors include Dag Aarsland, Guido Alves, Elise Tandberg, Ole‐Bjørn Tysnes, Tore Wentzel‐Larsen, Carmen Janvin, Kjeld Andersen, Anette Lolk, Kenn Freddy Pedersen and Kolbjørn Brønnick and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Neuroscience.

In The Last Decade

Jan Larsen

430 papers receiving 24.0k citations

Hit Papers

Prevalence and Characteristics of Dementia in Parkinson D... 2000 2026 2008 2017 2003 2000 2010 2001 2008 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Larsen Norway 84 15.2k 4.4k 4.3k 2.9k 2.7k 439 25.0k
Daniela Berg Germany 83 19.8k 1.3× 2.9k 0.7× 2.5k 0.6× 6.8k 2.3× 2.6k 1.0× 533 29.2k
Bastiaan R. Bloem Netherlands 96 28.3k 1.9× 6.0k 1.4× 11.2k 2.6× 5.8k 2.0× 2.9k 1.1× 695 44.5k
Nir Giladi Israel 94 19.3k 1.3× 4.7k 1.1× 12.0k 2.7× 3.4k 1.2× 1.5k 0.6× 450 35.0k
Günther Deuschl Germany 102 29.6k 1.9× 6.7k 1.5× 3.7k 0.9× 13.7k 4.7× 2.3k 0.8× 681 41.1k
Sue E. Leurgans United States 78 5.5k 0.4× 3.2k 0.7× 6.4k 1.5× 1.9k 0.7× 1.5k 0.5× 334 20.7k
Peter C. O’Brien United States 105 9.5k 0.6× 4.1k 0.9× 8.4k 1.9× 4.1k 1.4× 2.9k 1.1× 426 39.8k
Placido Bramanti Italy 73 3.3k 0.2× 3.1k 0.7× 3.1k 0.7× 2.5k 0.9× 2.2k 0.8× 755 22.6k
Thomas Gasser Germany 93 21.1k 1.4× 3.1k 0.7× 2.0k 0.5× 8.8k 3.0× 3.6k 1.3× 544 35.4k
Jeffrey M. Hausdorff Israel 102 10.9k 0.7× 9.8k 2.2× 13.7k 3.2× 1.8k 0.6× 1.4k 0.5× 365 49.0k
Valery L. Feigin New Zealand 69 7.9k 0.5× 1.4k 0.3× 3.2k 0.7× 1.7k 0.6× 12.9k 4.8× 286 33.1k

Countries citing papers authored by Jan Larsen

Since Specialization
Citations

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

Fields of papers citing papers by Jan Larsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Larsen

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Larsen. A scholar is included among the top collaborators of Jan Larsen 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 Jan Larsen. Jan Larsen 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.
Frederiksen, Peter, Nanna Louise Junker Udesen, Ann Banke, et al.. (2023). Cardiac energetics and end-organ perfusion with veno-arterial extracorporeal membrane oxygenation versus ecmella for cardiogenic shock in a large animal model. European Heart Journal. 44(Supplement_2).
2.
Jacobsen, Charlotte, et al.. (2020). Multi-Extraction and Quality of Protein and Carrageenan from Commercial Spinosum (Eucheuma denticulatum). Foods. 9(8). 1072–1072. 39 indexed citations
3.
Larsen, Jan, et al.. (2017). The prognosis of stroke survivors primarily discharged to their homes. Acta Neurologica Scandinavica. 136(4). 338–344. 1 indexed citations
4.
Tysnes, Ole‐Bjørn, et al.. (2016). Loss of independence in early Parkinson disease. Neurology. 87(15). 1599–1606. 37 indexed citations
5.
Sturm, Bob L., et al.. (2016). Deep Learning and Music Adversaries. Queen Mary Research Online (Queen Mary University of London). 66 indexed citations
6.
Alstrøm, Tommy Sonne, Michael Schmidt, Mikkel N. Schmidt, et al.. (2016). Surface-enhanced Raman spectroscopic study of DNA and 6-mercapto-1-hexanol interactions using large area mapping. Vibrational Spectroscopy. 86. 331–336. 8 indexed citations
7.
Dölle, Christian, Irene H. Flønes, Gonzalo S. Nido, et al.. (2016). Defective mitochondrial DNA homeostasis in the substantia nigra in Parkinson disease. Nature Communications. 7(1). 13548–13548. 196 indexed citations
8.
Larsen, Jan, et al.. (2015). The Potential of Proteomics in Understanding Neurodegeneration. International review of neurobiology. 121. 25–58. 15 indexed citations
9.
Larsen, Jan, et al.. (2013). Personalized Audio Systems - a Bayesian Approach. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam).
10.
Nielsen, Jakob, et al.. (2013). Hearing Aid Personalization. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 2 indexed citations
11.
Schmidt, Mikkel N., et al.. (2012). Interactive 3-D Audio: Enhancing Awareness of Details in Immersive Soundscapes?. Journal of the Audio Engineering Society. 2 indexed citations
12.
Brønnick, Kolbjørn, et al.. (2010). Verbal memory in drug-naive, newly diagnosed Parkinson's disease. The retrieval deficit hypothesis revisited.. Neuropsychology. 25(1). 114–124. 79 indexed citations
13.
Aarsland, Dag, Kenn Freddy Pedersen, Uwe Ehrt, et al.. (2008). Nevropsykiatriske og kognitive symptomer ved Parkinsons sykdom. Tidsskrift for Den Norske Laegeforening. 1 indexed citations
14.
Larsen, Jan, Antonie Giæver Beiske, Svein Ivar Bekkelund, et al.. (2008). Motoriske symptomer ved Parkinsons sykdom. Tidsskrift for Den Norske Laegeforening. 2 indexed citations
15.
Kolenda, Thomas, Lars Kai Hansen, & Jan Larsen. (2001). Signal Detection using ICA: Application to Chat Room Topic Spotting. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 48 indexed citations
16.
Aarsland, Dag, Jan Larsen, Elise Tandberg, & Knut Laake. (2000). Predictors of Nursing Home Placement in Parkinson's Disease: A Population‐Based, Prospective Study. Journal of the American Geriatrics Society. 48(8). 938–942. 577 indexed citations breakdown →
17.
Larsen, Jan. (1998). DESIGN CRITERIA FOR CYLINDRICAL MASTS EXPOSED TO SNOW CREEP FORCES. Duo Research Archive (University of Oslo). 203. 105–109. 7 indexed citations
18.
Hansen, Lars Kai, et al.. (1996). Detection of Malignant Melanoma using Neural Classifiers. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 1 indexed citations
19.
Hansen, Lars Kai, et al.. (1996). Cross validation in LULOO. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 1 indexed citations
20.
Hansen, Lars Kai & Jan Larsen. (1995). Pruning with generalization based weight saliencies: gamma-OBD, gamma-OBS.. Neural Information Processing Systems. 521–527. 8 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.

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