Laurens Hogeweg

50 total papers · 1.3k total citations
32 papers, 748 citations indexed

About

Laurens Hogeweg is a scholar working on Radiology, Nuclear Medicine and Imaging, Ecological Modeling and Infectious Diseases. According to data from OpenAlex, Laurens Hogeweg has authored 32 papers receiving a total of 748 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Ecological Modeling and 7 papers in Infectious Diseases. Recurrent topics in Laurens Hogeweg's work include COVID-19 diagnosis using AI (17 papers), Species Distribution and Climate Change (8 papers) and Tuberculosis Research and Epidemiology (7 papers). Laurens Hogeweg is often cited by papers focused on COVID-19 diagnosis using AI (17 papers), Species Distribution and Climate Change (8 papers) and Tuberculosis Research and Epidemiology (7 papers). Laurens Hogeweg collaborates with scholars based in Netherlands, United Kingdom and Germany. Laurens Hogeweg's co-authors include Bram van Ginneken, Pragnya Maduskar, Clara I. Sá‎nchez, Helen Ayles, Pim A. de Jong, Mathias Prokop, Rick H. H. M. Philipsen, Bo Liu, Bas W. Raaymakers and Alexander Raaijmakers and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Laurens Hogeweg

31 papers receiving 725 citations

Author Peers

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

Author Last Decade Papers Cites
Laurens Hogeweg 512 270 147 144 138 32 748
Lixin Gong 451 0.9× 240 0.9× 67 0.5× 162 1.1× 57 0.4× 41 889
Hirohisa Oda 209 0.4× 92 0.3× 17 0.1× 81 0.6× 179 1.3× 45 787
Yoshie Kodera 642 1.3× 340 1.3× 36 0.2× 265 1.8× 9 0.1× 59 905
Zhihua Qi 416 0.8× 43 0.2× 361 2.5× 35 0.2× 24 0.2× 41 797
Florian Prayer 406 0.8× 234 0.9× 18 0.1× 96 0.7× 23 0.2× 35 627
Rick H. H. M. Philipsen 641 1.3× 153 0.6× 3 0.0× 193 1.3× 172 1.2× 19 798
Mark Borgstrom 344 0.7× 118 0.4× 32 0.2× 26 0.2× 16 0.1× 39 778
Yoshikazu Uchiyama 366 0.7× 166 0.6× 6 0.0× 184 1.3× 20 0.1× 50 687
Maya Galperin-Aizenberg 400 0.8× 273 1.0× 11 0.1× 185 1.3× 19 0.1× 34 701
Manuela Lualdi 190 0.4× 234 0.9× 9 0.1× 78 0.5× 73 0.5× 27 862

Countries citing papers authored by Laurens Hogeweg

Since Specialization
Citations

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

Fields of papers citing papers by Laurens Hogeweg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laurens Hogeweg

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