Dries Van Rompaey

699 citations
12 papers · 472 indexed · h-index 8
Topics
Computational Drug Discovery Methods (5 papers)Machine Learning in Materials Science (4 papers)Protein Structure and Dynamics (2 papers)

In The Last Decade

Dries Van Rompaey

11 papers receiving 458 citations

Peers

Dries Van Rompaey
Comparison fields: 5 of 68
  • Molecular Biology 202
  • Pulmonary and Respiratory Medicine 115
  • Computational Theory and Mathematics 102
  • Physiology 94
  • Immunology 92
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Serene Josiah United States
Yasushi Wada Japan
Scott Bowes United States
Natalie E. Simpson United States
Barbara J. Haertlein United States
Kang‐Seo Park South Korea
Batool Shannan Germany
Rong Biaoxue China
Svenja Wiechmann Germany
Andréia Hanada Otake Brazil
Dries Van Rompaey relative to Serene Josiah United States Serene Josiah's profile →
Citations per field
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Citations per year

Countries citing papers authored by Dries Van Rompaey

Since Specialization
Citations

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

Fields of papers citing papers by Dries Van Rompaey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dries Van Rompaey. 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 Dries Van Rompaey. The network helps show where Dries Van Rompaey may publish in the future.

Co-authorship network of co-authors of Dries Van Rompaey

This figure shows the co-authorship network connecting the top 25 collaborators of Dries Van Rompaey. A scholar is included among the top collaborators of Dries Van Rompaey 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 Dries Van Rompaey. Dries Van Rompaey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 1
2 0
3 17
4 5
5 3
6 12
7 86
8 41
9 116
10 39
11 145
12 7

About Dries Van Rompaey

Dries Van Rompaey is a scholar working on Computational Theory and Mathematics, Dermatology and Immunology and Allergy, having authored 12 papers that have together received 472 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Machine Learning in Materials Science (4 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Immunology and Allergy (53 citations), Dermatology (62 citations) and Computational Theory and Mathematics (102 citations). Dries Van Rompaey has collaborated with scholars based in Belgium, United States and Germany. Frequent co-authors include Hans De Winter, Jörg K. Wegner, Pieter Van der Veken, Koen Augustyns, Philipp Renz, Sepp Hochreiter, Günter Klambauer, Peter Vandenabeele, Kenneth Goossens and Sam Hofmans. Their work appears in journals such as Nature Communications, Scientific Reports and Journal of Medicinal Chemistry.

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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