Lars Villemoes

49 total papers · 824 total citations
31 papers, 527 citations indexed

About

Lars Villemoes is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computational Mechanics. According to data from OpenAlex, Lars Villemoes has authored 31 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 20 papers in Signal Processing and 8 papers in Computational Mechanics. Recurrent topics in Lars Villemoes's work include Speech and Audio Processing (12 papers), Image and Signal Denoising Methods (12 papers) and Advanced Data Compression Techniques (8 papers). Lars Villemoes is often cited by papers focused on Speech and Audio Processing (12 papers), Image and Signal Denoising Methods (12 papers) and Advanced Data Compression Techniques (8 papers). Lars Villemoes collaborates with scholars based in Sweden, United States and Finland. Lars Villemoes's co-authors include Albert Cohen, Karlheinz Gröchenig, Christoph Thiele, Jeroen Breebaart, Per Bodin, Heiko Purnhagen, Kristofer Kjörling, Bo Wahlberg, Sascha Disch and Johannes Hilpert and has published in prestigious journals such as IEEE Transactions on Information Theory, SIAM Journal on Control and Optimization and IEEE Transactions on Audio Speech and Language Processing.

In The Last Decade

Lars Villemoes

28 papers receiving 437 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Lars Villemoes	292	224	194	160	60	31	527
Gabriele Steidl	171 0.6×	77 0.3×	109 0.6×	99 0.6×	33 0.6×	41	454
M.N.S. Swamy	103 0.4×	242 1.1×	232 1.2×	23 0.1×	22 0.4×	56	464
Michael Davies	145 0.5×	152 0.7×	233 1.2×	29 0.2×	25 0.4×	29	479
Jinsong Leng	180 0.6×	52 0.2×	58 0.3×	216 1.4×	20 0.3×	55	493
Götz E. Pfander	218 0.7×	156 0.7×	201 1.0×	311 1.9×	6 0.1×	59	520
Venkat Chandrasekaran	82 0.3×	90 0.4×	214 1.1×	34 0.2×	32 0.5×	27	587
Nicki Holighaus	281 1.0×	259 1.2×	42 0.2×	96 0.6×	33 0.6×	29	496
E.I. Plotkin	174 0.6×	131 0.6×	96 0.5×	19 0.1×	27 0.5×	84	446
Deyun Wei	369 1.3×	142 0.6×	45 0.2×	175 1.1×	6 0.1×	19	457
Martin Welk	320 1.1×	51 0.2×	138 0.7×	18 0.1×	11 0.2×	32	495

Countries citing papers authored by Lars Villemoes

Since Specialization

Citations

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

Fields of papers citing papers by Lars Villemoes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lars Villemoes

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

All Works

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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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