Franz Baumdicker

1.4k citations
25 papers · 765 · 1 hit paper · h-index 8

Impact in

  • Genetics top 5%
    • Genetic diversity and population structure
    • Forensic and Genetic Research
    • Evolution and Genetic Dynamics
    • Genetic Associations and Epidemiology
    • Genetic and phenotypic traits in livestock
    • Genomics and Phylogenetic Studies

Papers in

    • Evolution and Genetic Dynamics 12
    • Genetic diversity and population structure 8
    • Forensic and Genetic Research 5
    • Genomics and Phylogenetic Studies 6
    • CRISPR and Genetic Engineering 6

Franz Baumdicker

24 papers receiving 753 citations

Franz Baumdicker's Hit Papers

Efficient ancestry and mutation simulation with msprime 1.0 2021 · 232 citations
2320+1+3Years since publication50100150200

Peers

Franz Baumdicker
Comparison fields: 5 of 67
  • Genetics 455
  • Molecular Biology 282
  • Endocrinology 12
  • Molecular Medicine 16
  • Ecology 34
Replace Chris M. Rands with:
Chris M. Rands Switzerland
Peter A. Lind Sweden
Patricia Sanchez‐Vazquez United States
Joshua Nahum United States
Ignacio Cota Spain
Hendrik Osadnik United States
Ryszard Korona Poland
Samsun Sung South Korea
Maxime Québatte Switzerland
Rémi Denise France
Franz Baumdicker relative to Chris M. Rands Switzerland Chris M. Rands's profile →
Citations per field
00.5×2×2.7×
Chris M. Rands · 1×
Citations per year

Countries citing papers authored by Franz Baumdicker

Since Specialization
Citations

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

Fields of papers citing papers by Franz Baumdicker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Franz Baumdicker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Franz Baumdicker Line = papers co-authored together Franz Baumdicker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Efficient ancestry and mutation simulation with msprime 1.0
Hit paper breakdown →
2021232
2 2017202
3 2020119
4 201291
5 202330
6 202020
7 201412
8 202212
9 20216
10 20216
11 20246
12 20235
13 20255
14 20203
15 20233
16 20142
17 20172
18 20252
19 20262
20 20201

About Franz Baumdicker

Franz Baumdicker is a scholar working on Genetics, Molecular Biology, Mathematical Physics, Statistics and Probability and Statistics, Probability and Uncertainty, having authored 25 papers that have together received 765 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (12 papers), Genetic diversity and population structure (8 papers), Genomics and Phylogenetic Studies (6 papers), CRISPR and Genetic Engineering (6 papers), Forensic and Genetic Research (5 papers), Stochastic processes and statistical mechanics (2 papers), Insect symbiosis and bacterial influences (1 paper) and Advanced Statistical Methods and Models (1 paper). The work is most often cited by research in Genetics (455 citations), Molecular Biology (282 citations), Endocrinology (12 citations), Molecular Medicine (16 citations) and Ecology (34 citations). Franz Baumdicker has collaborated with scholars based in Germany, United States and United Arab Emirates. Frequent co-authors include Richard A. Neher, Wei Ding, Peter Pfaffelhuber, Wolfgang R. Hess, Franziska Grundner-Culemann, Veronika Lipphardt, Anne Kupczok, Omer S. Alkhnbashi, Fabian Staubach and Rolf Backofen. Their work appears in journals such as Genetics, eLife, Theoretical Population Biology, Forensic Science International Genetics and Genome Biology and Evolution.

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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