Raoul D. Schram

600 citations
24 papers · 391 indexed · h-index 9
Topics
Theoretical and Computational Physics (8 papers)Stochastic processes and statistical mechanics (6 papers)Protein Structure and Dynamics (3 papers)
Partner nations
NetherlandsFranceItaly

In The Last Decade

Raoul D. Schram

21 papers receiving 387 citations

Peers

Raoul D. Schram
Comparison fields: 5 of 119
  • Molecular Biology 82
  • Health, Toxicology and Mutagenesis 76
  • Global and Planetary Change 40
  • Materials Chemistry 36
  • Artificial Intelligence 35
Replace Pól Mac Aonghusa with:
Pól Mac Aonghusa Ireland
Yiye Zhang China
Katja Mayer Austria
Samantha Copeland Netherlands
Fernando F. Ferreira Brazil
Dennis R. Ridley United States
Paige Maas United States
Mark Graves United States
John Schiller Australia
Raoul D. Schram relative to Pól Mac Aonghusa Ireland Pól Mac Aonghusa's profile →
Citations per field
00.5×10×13.3×
Pól Mac Aonghusa · 1×
Citations per year

Countries citing papers authored by Raoul D. Schram

Since Specialization
Citations

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

Fields of papers citing papers by Raoul D. Schram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raoul D. Schram. 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 Raoul D. Schram. The network helps show where Raoul D. Schram may publish in the future.

Co-authorship network of co-authors of Raoul D. Schram

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 2
3 48
4 3
5
An open source machine learning framework for efficient and transparent systematic reviews
68
6 7
7 0
8 87
9 1
10 1
11 32
12 18
13 8
14 39
15 5
16 6
17 0
18 3
19 9
20 8

About Raoul D. Schram

Raoul D. Schram is a scholar working on Health Informatics, Condensed Matter Physics and Mathematical Physics, having authored 24 papers that have together received 391 indexed citations. Recurring topics across this work include Theoretical and Computational Physics (8 papers), Stochastic processes and statistical mechanics (6 papers) and Protein Structure and Dynamics (3 papers). The work is most often cited by research in Health Informatics (23 citations), Health, Toxicology and Mutagenesis (76 citations) and Speech and Hearing (33 citations). Raoul D. Schram has collaborated with scholars based in Netherlands, France and Italy. Frequent co-authors include Daniel L. Oberski, G. T. Barkema, Helmut Schießel, Ronald Poppe, Marco Helbich, Lars Tummers, Jonathan De Bruin, Rens van de Schoot, Ayoub Bagheri and Behrouz Eslami-Mossallam. Their work appears in journals such as The Journal of Chemical Physics, PLoS ONE and Journal of Computational Physics.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026