Klaas Slooten

704 total citations
38 papers, 485 citations indexed

About

Klaas Slooten is a scholar working on Genetics, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Klaas Slooten has authored 38 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Genetics, 16 papers in Molecular Biology and 11 papers in Artificial Intelligence. Recurrent topics in Klaas Slooten's work include Forensic and Genetic Research (28 papers), Molecular Biology Techniques and Applications (9 papers) and Bayesian Methods and Mixture Models (5 papers). Klaas Slooten is often cited by papers focused on Forensic and Genetic Research (28 papers), Molecular Biology Techniques and Applications (9 papers) and Bayesian Methods and Mixture Models (5 papers). Klaas Slooten collaborates with scholars based in Netherlands, Norway and United States. Klaas Slooten's co-authors include Ronald Meester, Hinda Haned, Phillipa Gill, Charles E.H. Berger, Amke Caliebe, Federico Ricciardi, Maarten Kruijver, Wim Wiegerinck, Jeroen de Jong and Thore Egeland and has published in prestigious journals such as Journal of the Royal Statistical Society Series C (Applied Statistics), Forensic Science International and Forensic Science International Genetics.

In The Last Decade

Klaas Slooten

37 papers receiving 470 citations

Peers

Klaas Slooten
Comparison fields: 5 of 61
  • Genetics 362
  • Molecular Biology 194
  • Artificial Intelligence 130
  • Ecology 72
  • Statistics and Probability 49
Replace Roberto Puch‐Solis with:
Roberto Puch‐Solis United Kingdom
Corina C.G. Benschop Netherlands
Hinda Haned Netherlands
Amanda B. Hepler United States
Hannah Kelly New Zealand
Maarten Kruijver New Zealand
Damien Abarno Australia
Simone Gittelson Switzerland
R. Pinchin United Kingdom
Grayson R. Jackson United Kingdom
Roberto Puch‐Solis United Kingdom View profile →
Citations per field, relative to Klaas Slooten
Klaas Slooten · 1×
Citations per year, relative to Klaas Slooten
Klaas Slooten · 1×

Countries citing papers authored by Klaas Slooten

Since Specialization
Citations

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

Fields of papers citing papers by Klaas Slooten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Klaas Slooten

This figure shows the co-authorship network connecting the top 25 collaborators of Klaas Slooten. A scholar is included among the top collaborators of Klaas Slooten 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 Klaas Slooten. Klaas Slooten 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
# Work Indexed citations
1 12
2 8
3 5
4 40
5 5
6 26
7 5
8 5
9 12
10 6
11 39
12 12
13 10
14 15
15 5
16 18
17 83
18
Database likelihood ratios and familial DNA searching
1
19
Bonaparte: Application of new software for missing persons program
1
20 18

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