Marvin Steijaert

1.5k citations
12 papers · 1.0k indexed · 1 hit paper · h-index 8
Topics
Computational Drug Discovery Methods (5 papers)Neuroscience and Neuropharmacology Research (4 papers)Retinal Development and Disorders (3 papers)

In The Last Decade

Marvin Steijaert

11 papers receiving 1.0k citations

Hit Papers

Large-scale comparison of machine learning methods for dr...20182026202020232018100200300

Peers

Marvin Steijaert
Comparison fields: 5 of 119
  • Molecular Biology 680
  • Computational Theory and Mathematics 357
  • Cellular and Molecular Neuroscience 293
  • Materials Chemistry 191
  • Biophysics 105
Replace Alex Gutteridge with:
Alex Gutteridge United Kingdom
Christian N. Parker Switzerland
Yongfeng Liu China
Onur Dağliyan United States
Héléna A. Gaspar United Kingdom
Fabio Urbina United States
Mahiuddin Ahmed United States
Kathryn Hess Switzerland
Harindranath Kadavath Germany
Marvin Steijaert relative to Alex Gutteridge United Kingdom Alex Gutteridge's profile →
Citations per field
00.5×4.4×
Alex Gutteridge · 1×
Citations per year

Countries citing papers authored by Marvin Steijaert

Since Specialization
Citations

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

Fields of papers citing papers by Marvin Steijaert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marvin Steijaert

This figure shows the co-authorship network connecting the top 25 collaborators of Marvin Steijaert. A scholar is included among the top collaborators of Marvin Steijaert 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 Marvin Steijaert. Marvin Steijaert 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 0
2 140
3
Large-scale comparison of machine learning methods for drug target prediction on ChEMBLbreakdown →
352
4 34
5 5
6 18
7 82
8 2
9 3
10 64
11 264
12 70

About Marvin Steijaert

Marvin Steijaert is a scholar working on Computational Theory and Mathematics, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 12 papers that have together received 1.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Retinal Development and Disorders (3 papers). The work is most often cited by research in Computational Theory and Mathematics (357 citations), Biophysics (105 citations) and Cellular and Molecular Neuroscience (293 citations). Marvin Steijaert has collaborated with scholars based in United States, Netherlands and Belgium. Frequent co-authors include Hugo Ceulemans, Jörg K. Wegner, Günter Klambauer, Sepp Hochreiter, Thomas Unterthiner, Djork-Arné Clevert, Andreas Mayr, David T. W. Lau, Günther Schütz and Céline Delucinge-Vivier. Their work appears in journals such as Neuron, PLoS ONE and The Journal of Physical Chemistry B.

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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