Jan Eric Lenssen

76 total papers · 2.6k total citations
22 papers, 401 citations indexed

About

Jan Eric Lenssen is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Jan Eric Lenssen has authored 22 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 6 papers in Computational Mechanics and 6 papers in Artificial Intelligence. Recurrent topics in Jan Eric Lenssen's work include 3D Shape Modeling and Analysis (6 papers), Advanced Graph Neural Networks (4 papers) and Computer Graphics and Visualization Techniques (4 papers). Jan Eric Lenssen is often cited by papers focused on 3D Shape Modeling and Analysis (6 papers), Advanced Graph Neural Networks (4 papers) and Computer Graphics and Visualization Techniques (4 papers). Jan Eric Lenssen collaborates with scholars based in Germany, United States and United Kingdom. Jan Eric Lenssen's co-authors include Matthias Fey, Frank Weichert, Heinrich Müller, Jonathan Masci, Christian Osendorfer, Jonathan Masci, Nils M. Kriege, Christopher Morris, Roland Hergenröder and Gerard Pons‐Moll and has published in prestigious journals such as Sensors, Computer Graphics Forum and arXiv (Cornell University).

In The Last Decade

Jan Eric Lenssen

20 papers receiving 387 citations

Author Peers

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

Author Last Decade Papers Cites
Jan Eric Lenssen 203 119 115 51 34 22 401
Y. Xiong 319 1.6× 61 0.5× 86 0.7× 45 0.9× 19 0.6× 39 446
Shagan Sah 150 0.7× 31 0.3× 110 1.0× 12 0.2× 17 0.5× 23 333
Daniyar Turmukhambetov 233 1.1× 47 0.4× 97 0.8× 23 0.5× 18 0.5× 10 354
Jinlong Shi 249 1.2× 29 0.2× 65 0.6× 12 0.2× 37 1.1× 48 381
A. David Marshall 193 1.0× 80 0.7× 39 0.3× 53 1.0× 65 1.9× 20 341
Bruno Raffin 248 1.2× 73 0.6× 30 0.3× 99 1.9× 10 0.3× 41 445
Egil Bae 311 1.5× 106 0.9× 45 0.4× 14 0.3× 7 0.2× 15 437
Randi J. Rost 191 0.9× 95 0.8× 52 0.5× 175 3.4× 14 0.4× 9 406
Gianpiero Di Blasi 166 0.8× 50 0.4× 63 0.5× 67 1.3× 15 0.4× 28 365
Yuwei Li 169 0.8× 51 0.4× 98 0.9× 27 0.5× 8 0.2× 24 361

Countries citing papers authored by Jan Eric Lenssen

Since Specialization
Citations

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

Fields of papers citing papers by Jan Eric Lenssen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Eric Lenssen

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Eric Lenssen. A scholar is included among the top collaborators of Jan Eric Lenssen 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 Eric Lenssen. Jan Eric Lenssen 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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