Lars Linsen

2.3k total citations
149 papers, 1.5k citations indexed

About

Lars Linsen is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Lars Linsen has authored 149 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Computer Vision and Pattern Recognition, 52 papers in Computer Graphics and Computer-Aided Design and 31 papers in Computational Mechanics. Recurrent topics in Lars Linsen's work include Data Visualization and Analytics (50 papers), Computer Graphics and Visualization Techniques (49 papers) and 3D Shape Modeling and Analysis (22 papers). Lars Linsen is often cited by papers focused on Data Visualization and Analytics (50 papers), Computer Graphics and Visualization Techniques (49 papers) and 3D Shape Modeling and Analysis (22 papers). Lars Linsen collaborates with scholars based in Germany, United States and Brazil. Lars Linsen's co-authors include Bernd Hamann, Paul Rosenthal, Heinrich Müller, Guido Brunnett, Horst K. Hahn, Hartmut Prautzsch, Oliver Kreylos, John D. Owens, Maria Cristina Ferreira de Oliveira and Rosane Minghim and has published in prestigious journals such as BMC Bioinformatics, Information Sciences and Advances in experimental medicine and biology.

In The Last Decade

Lars Linsen

134 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lars Linsen Germany	20	685	416	375	204	168	149	1.5k
Ralph R. Martin United Kingdom	18	1.2k 1.8×	292 0.7×	516 1.4×	368 1.8×	103 0.6×	44	2.5k
Jack Bresenham United States	7	949 1.4×	424 1.0×	278 0.7×	131 0.6×	105 0.6×	14	1.7k
Andreas Koschan United States	27	1.7k 2.5×	317 0.8×	407 1.1×	93 0.5×	130 0.8×	128	2.5k
Bruce J. Schachter United States	10	476 0.7×	372 0.9×	221 0.6×	118 0.6×	170 1.0×	23	1.4k
Eugene Zhang United States	21	789 1.2×	1.2k 2.8×	963 2.6×	120 0.6×	102 0.6×	68	2.0k
Hans Hagen Germany	24	597 0.9×	717 1.7×	819 2.2×	63 0.3×	97 0.6×	133	1.7k
Suresh K. Lodha United States	20	854 1.2×	309 0.7×	208 0.6×	195 1.0×	381 2.3×	58	1.6k
Qunsheng Peng China	26	1.3k 2.0×	897 2.2×	753 2.0×	89 0.4×	90 0.5×	197	2.2k
Michael B. Oren United States	10	1.6k 2.4×	466 1.1×	325 0.9×	261 1.3×	84 0.5×	25	2.3k

Countries citing papers authored by Lars Linsen

Since Specialization

Citations

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

Fields of papers citing papers by Lars Linsen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lars Linsen

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

All Works

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20 of 20 papers shown

Kronenberg, Katharina, Nassim Ghaffari‐Tabrizi‐Wizsy, Dalial Freitak, et al.. (2025). Exploring high-dimensional LA-ICP-TOFMS data with uniform manifold approximation and projection (UMAP). Journal of Analytical Atomic Spectrometry. 40(12). 3473–3484.

Linsen, Lars, et al.. (2024). Interactive Visual Analysis of Spatial Sensitivities. IEEE Transactions on Visualization and Computer Graphics. 31(9). 5101–5115.

Buchholz, Rebecca, Uwe Kärst, Lars Linsen, et al.. (2022). Fingerprints of Element Concentrations in Infective Endocarditis Obtained by Mass Spectrometric Imaging and t-Distributed Stochastic Neighbor Embedding. ACS Infectious Diseases. 8(2). 360–372. 6 indexed citations

Linsen, Lars, et al.. (2021). Multifaceted Visual Analysis of Oceanographic Simulation Ensemble Data. IEEE Computer Graphics and Applications. 42(4). 80–88.

Grün, Katja, Martin Krämer, Karl‐Heinz Herrmann, et al.. (2021). Pulmonary Arteriovenous Pressure Gradient and Time-Averaged Mean Velocity of Small Pulmonary Arteries Can Serve as Sensitive Biomarkers in the Diagnosis of Pulmonary Arterial Hypertension: A Preclinical Study by 4D-Flow MRI. Diagnostics. 12(1). 58–58. 3 indexed citations

Soltwisch, Jens, et al.. (2020). Interactive Visual Analysis of Mass Spectrometry Imaging Data Using Linear and Non-Linear Embeddings. Information. 11(12). 575–575. 1 indexed citations

Wehrum, Thomas, et al.. (2017). Uncertainty visualization for interactive assessment of stenotic regions in vascular structures. Computers & Graphics. 69. 116–130. 2 indexed citations

Völzke, Henry, et al.. (2017). Automatic MRI segmentation of para-pharyngeal fat pads using interactive visual feature space analysis for classification. BMC Medical Imaging. 17(1). 15–15. 9 indexed citations

Linsen, Lars, et al.. (2016). Generating real-time objects for a bridge ship-handling simulator based on automatic identification system data. Simulation Modelling Practice and Theory. 72. 69–87. 9 indexed citations

10.

Völzke, Henry, et al.. (2015). Automatic Pharynx Segmentation from MRI Data for Obstructive Sleep Apnea Analysis. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 599–608. 6 indexed citations

11.

Linsen, Lars, et al.. (2013). Frequency-based Progressive Rendering of Continuous Scatterplots. Digital Library (University of West Bohemia). 21. 49–58. 3 indexed citations

12.

Günther, C., et al.. (2013). A GPGPU-based Pipeline for Accelerated Rendering of Point Clouds. Digital Library (University of West Bohemia). 21. 153–161. 11 indexed citations

13.

Linsen, Lars, Hans Hagen, Bernd Hamann, & Hans‐Christian Hege. (2012). Visualization in Medicine and Life Sciences II: Progress and New Challenges. CERN Document Server (European Organization for Nuclear Research). 3 indexed citations

14.

Linsen, Lars, et al.. (2012). On-the-fly Luminance Correction for Rendering of Inconsistently Lit Point Clouds.. International Conference in Central Europe on Computer Graphics and Visualization. 20. 161–170. 2 indexed citations

15.

Rosenthal, Paul, et al.. (2011). A Narrow Band Level Set Method for Surface Extraction from Unstructured Point-based Volume Data. Qucosa - Monarch (Chemnitz University of Technology). 5 indexed citations

16.

Linsen, Lars, Karsten Müller, & Paul Rosenthal. (2007). Splat-based ray tracing of point clouds. Digital Library (University of West Bohemia). 15. 51–58. 26 indexed citations

17.

Linsen, Lars, et al.. (2007). Inverse Modeling and Animation of Growing Single-stemmed Trees at Interactive Rates. Digital Library (University of West Bohemia). 217–224. 9 indexed citations

18.

Hamann, Bernd, et al.. (2006). USING RAY INTERSECTION FOR DUAL ISOSURFACING. 34–42. 1 indexed citations

19.

Linsen, Lars, et al.. (2005). Tree growth visualization. Digital Library (University of West Bohemia). 13. 81–88. 14 indexed citations

20.

Linsen, Lars & Hartmut Prautzsch. (2002). Fan Clouds - An Alternative To Meshes. eScholarship (California Digital Library). 6 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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