Lasse Lensu

139 total papers · 2.0k total citations
69 papers, 1.2k citations indexed

About

Lasse Lensu is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience. According to data from OpenAlex, Lasse Lensu has authored 69 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 13 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Lasse Lensu's work include Retinal Imaging and Analysis (13 papers), Photoreceptor and optogenetics research (9 papers) and Retinal Diseases and Treatments (8 papers). Lasse Lensu is often cited by papers focused on Retinal Imaging and Analysis (13 papers), Photoreceptor and optogenetics research (9 papers) and Retinal Diseases and Treatments (8 papers). Lasse Lensu collaborates with scholars based in Finland, United Kingdom and Czechia. Lasse Lensu's co-authors include Heikki Kälviäinen, Hannu Uusitalo, Joni‐Kristian Kämäräinen, Tomi Kauppi, Iiris Sorri, Valentina Kalesnykiene, Raimo Voutilainen, Juhani Pietilä, Tuomas Eerola and Arto Kaarna and has published in prestigious journals such as Applied Energy, Physical Chemistry Chemical Physics and Optics Express.

In The Last Decade

Lasse Lensu

64 papers receiving 1.1k citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
Lasse Lensu 734 554 482 103 94 69 1.2k
Bryan M. Williams 570 0.8× 408 0.7× 352 0.7× 110 1.1× 55 0.6× 63 1.1k
Qin Li 371 0.5× 290 0.5× 468 1.0× 176 1.7× 131 1.4× 80 1.1k
Varun P. Gopi 746 1.0× 474 0.9× 491 1.0× 187 1.8× 50 0.5× 88 1.4k
Toufique Ahmed Soomro 667 0.9× 379 0.7× 556 1.2× 167 1.6× 22 0.2× 46 1.1k
Syed S. Naqvi 617 0.8× 430 0.8× 594 1.2× 146 1.4× 38 0.4× 53 1.1k
Malaya Kumar Nath 526 0.7× 309 0.6× 487 1.0× 370 3.6× 16 0.2× 67 1.3k
Taimur Hassan 685 0.9× 459 0.8× 459 1.0× 304 3.0× 39 0.4× 113 1.3k
Yang Wen 256 0.3× 148 0.3× 472 1.0× 120 1.2× 61 0.6× 61 1.0k
Désiré Sidibé 538 0.7× 359 0.6× 793 1.6× 199 1.9× 73 0.8× 56 1.4k
Haniza Yazid 243 0.3× 140 0.3× 505 1.0× 148 1.4× 54 0.6× 72 1.0k

Countries citing papers authored by Lasse Lensu

Since Specialization
Citations

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

Fields of papers citing papers by Lasse Lensu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lasse Lensu

This figure shows the co-authorship network connecting the top 25 collaborators of Lasse Lensu. A scholar is included among the top collaborators of Lasse Lensu 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 Lasse Lensu. Lasse Lensu 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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