Ruben De Groote

228 total papers · 2.3k total citations
92 papers, 1.3k citations indexed

About

Ruben De Groote is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Urology. According to data from OpenAlex, Ruben De Groote has authored 92 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Pulmonary and Respiratory Medicine, 49 papers in Surgery and 26 papers in Urology. Recurrent topics in Ruben De Groote's work include Prostate Cancer Diagnosis and Treatment (31 papers), Renal cell carcinoma treatment (20 papers) and Surgical Simulation and Training (19 papers). Ruben De Groote is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (31 papers), Renal cell carcinoma treatment (20 papers) and Surgical Simulation and Training (19 papers). Ruben De Groote collaborates with scholars based in Belgium, Italy and United Kingdom. Ruben De Groote's co-authors include Alexandre Mottrie, Geert De Naeyer, Frederiek DʼHondt, Peter Schatteman, Carlo Andrea Bravi, Giacomo Novara, Giorgio Gandaglia, Rui Farinha, Stefano Puliatti and Marco Paciotti and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Urology and European Urology.

In The Last Decade

Ruben De Groote

88 papers receiving 1.2k citations

Hit Papers

Robot-assisted Radical Pr... 2022 2026 2023 2024 2022 25 50 75

Author Peers

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

Author Last Decade Papers Cites
Ruben De Groote 816 653 416 325 102 92 1.3k
Peter Schatteman 689 0.8× 572 0.9× 360 0.9× 224 0.7× 83 0.8× 65 1.1k
Assaad El‐Hakim 824 1.0× 783 1.2× 531 1.3× 331 1.0× 66 0.6× 68 1.4k
Clément‐Claude Abbou 1.2k 1.4× 844 1.3× 487 1.2× 443 1.4× 112 1.1× 51 1.7k
Geert De Naeyer 1.2k 1.4× 873 1.3× 484 1.2× 390 1.2× 136 1.3× 98 1.7k
Ran Katz 955 1.2× 899 1.4× 511 1.2× 364 1.1× 126 1.2× 76 1.7k
Antonio Cicione 469 0.6× 429 0.7× 400 1.0× 213 0.7× 48 0.5× 88 1.1k
Minh Do 1.1k 1.4× 1.1k 1.6× 514 1.2× 454 1.4× 183 1.8× 56 1.8k
Marc Galiano 1.2k 1.5× 746 1.1× 346 0.8× 685 2.1× 59 0.6× 103 1.8k
Wael Khoder 720 0.9× 346 0.5× 302 0.7× 211 0.6× 69 0.7× 70 1.1k
F. Saint 582 0.7× 834 1.3× 296 0.7× 205 0.6× 75 0.7× 79 1.3k

Countries citing papers authored by Ruben De Groote

Since Specialization
Citations

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

Fields of papers citing papers by Ruben De Groote

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ruben De Groote. 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 Ruben De Groote. The network helps show where Ruben De Groote may publish in the future.

Co-authorship network of co-authors of Ruben De Groote

This figure shows the co-authorship network connecting the top 25 collaborators of Ruben De Groote. A scholar is included among the top collaborators of Ruben De Groote 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 Ruben De Groote. Ruben De Groote 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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