Jan‐Maarten Luursema

40 total papers · 544 total citations
25 papers, 397 citations indexed

About

Jan‐Maarten Luursema is a scholar working on Surgery, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Jan‐Maarten Luursema has authored 25 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Surgery, 11 papers in Computer Vision and Pattern Recognition and 11 papers in Biomedical Engineering. Recurrent topics in Jan‐Maarten Luursema's work include Surgical Simulation and Training (21 papers), Augmented Reality Applications (11 papers) and Anatomy and Medical Technology (11 papers). Jan‐Maarten Luursema is often cited by papers focused on Surgical Simulation and Training (21 papers), Augmented Reality Applications (11 papers) and Anatomy and Medical Technology (11 papers). Jan‐Maarten Luursema collaborates with scholars based in Netherlands, United States and India. Jan‐Maarten Luursema's co-authors include Willem B. Verwey, Piet Kommers, Harry van Goor, Robert H. Geelkerken, Hans J. Vos, Jan G.M. Kooloos, Marc A.T.M. Vorstenbosch, Sonja N. Buzink, J. J. Jakimowicz and Cornelia Fluit and has published in prestigious journals such as The American Journal of Surgery, Urology and World Journal of Surgery.

In The Last Decade

Jan‐Maarten Luursema

24 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‐Maarten Luursema 286 243 140 73 63 25 397
Victoria A. Roach 172 0.6× 208 0.9× 90 0.6× 79 1.1× 15 0.2× 28 361
Florentine Huettl 277 1.0× 193 0.8× 184 1.3× 22 0.3× 35 0.6× 35 432
Jordan Hochman 249 0.9× 188 0.8× 93 0.7× 25 0.3× 38 0.6× 33 438
H. Hoffman 112 0.4× 80 0.3× 53 0.4× 70 1.0× 48 0.8× 28 403
Hannes Götz Kenngott 223 0.8× 132 0.5× 112 0.8× 28 0.4× 35 0.6× 21 386
K. W. van Dongen 357 1.2× 218 0.9× 96 0.7× 46 0.6× 118 1.9× 10 390
Hillel S. Maresky 129 0.5× 114 0.5× 60 0.4× 29 0.4× 75 1.2× 22 361
Matthew Pears 156 0.5× 105 0.4× 105 0.8× 41 0.6× 90 1.4× 22 395
Philipp Stefan 262 0.9× 141 0.6× 97 0.7× 33 0.5× 46 0.7× 19 363
Ismail Tawakol Ali 143 0.5× 171 0.7× 57 0.4× 74 1.0× 38 0.6× 20 370

Countries citing papers authored by Jan‐Maarten Luursema

Since Specialization
Citations

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

Fields of papers citing papers by Jan‐Maarten Luursema

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan‐Maarten Luursema. 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‐Maarten Luursema. The network helps show where Jan‐Maarten Luursema may publish in the future.

Co-authorship network of co-authors of Jan‐Maarten Luursema

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