Andreas Futschik

4.6k total citations
76 papers, 2.1k citations indexed

About

Andreas Futschik is a scholar working on Genetics, Molecular Biology and Small Animals. According to data from OpenAlex, Andreas Futschik has authored 76 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Genetics, 24 papers in Molecular Biology and 17 papers in Small Animals. Recurrent topics in Andreas Futschik's work include Animal Behavior and Welfare Studies (17 papers), Human-Animal Interaction Studies (14 papers) and Genetic diversity and population structure (14 papers). Andreas Futschik is often cited by papers focused on Animal Behavior and Welfare Studies (17 papers), Human-Animal Interaction Studies (14 papers) and Genetic diversity and population structure (14 papers). Andreas Futschik collaborates with scholars based in Austria, Germany and United Kingdom. Andreas Futschik's co-authors include Christian Schlötterer, Viola Nolte, Ram Vinay Pandey, Carolin Kosiol, Robert Kofler, Susanne Waiblinger, Nicola De Maio, Pablo Orozco‐terWengel, Rupert Palme and Kerstin Barth and has published in prestigious journals such as Journal of the American Statistical Association, Bioinformatics and PLoS ONE.

In The Last Decade

Andreas Futschik

68 papers receiving 2.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Andreas Futschik Austria 22 1.3k 623 377 289 255 76 2.1k
Simon Boitard France 18 1.7k 1.3× 724 1.2× 49 0.1× 223 0.8× 243 1.0× 32 2.7k
Eildert Groeneveld Germany 25 1.9k 1.5× 174 0.3× 488 1.3× 290 1.0× 152 0.6× 99 2.7k
Daniel Sørensen Denmark 32 3.1k 2.4× 233 0.4× 510 1.4× 1.3k 4.4× 147 0.6× 88 3.8k
Stephen D. Johnston Australia 30 778 0.6× 565 0.9× 253 0.7× 174 0.6× 670 2.6× 200 2.8k
Ole Fredslund Christensen Denmark 33 3.2k 2.5× 284 0.5× 347 0.9× 1.5k 5.2× 111 0.4× 100 4.0k
Örjan Carlborg Sweden 39 4.6k 3.5× 1.6k 2.5× 238 0.6× 1.4k 4.9× 253 1.0× 109 6.4k
Cedric Gondro Australia 31 1.7k 1.3× 541 0.9× 182 0.5× 293 1.0× 100 0.4× 126 2.8k
F. Pirchner Germany 23 1.2k 0.9× 276 0.4× 111 0.3× 240 0.8× 173 0.7× 114 1.9k
Michaël Bekaert United Kingdom 28 1.1k 0.8× 837 1.3× 26 0.1× 448 1.6× 584 2.3× 93 2.9k
Jenő Reiczigel Hungary 24 434 0.3× 108 0.2× 435 1.2× 59 0.2× 1.4k 5.6× 78 3.0k

Countries citing papers authored by Andreas Futschik

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Futschik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Futschik

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Futschik. A scholar is included among the top collaborators of Andreas Futschik 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 Andreas Futschik. Andreas Futschik 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
1.
Hobolth, Asger, Simon Boitard, Andreas Futschik, & Raphaël Leblois. (2025). A matrix-analytical sampling formula for time-homogeneous coalescent processes under the infinite sites mutation model. Theoretical Population Biology. 163. 62–79.
2.
3.
Hobolth, Asger, Iker Rivas-González, Mogens Bladt, & Andreas Futschik. (2024). Phase-type distributions in mathematical population genetics: An emerging framework. Theoretical Population Biology. 157. 14–32. 4 indexed citations
4.
Bertl, Johanna, et al.. (2021). Waves Out of the Korean Peninsula and Inter- and Intra-Species Replacements in Freshwater Fishes in Japan. Genes. 12(2). 303–303. 10 indexed citations
5.
Futschik, Andreas, et al.. (2020). Effects of Different Stroking Styles on Behaviour and Cardiac Parameters in Heifers. Animals. 10(3). 426–426. 16 indexed citations
6.
Hermann, Philipp, et al.. (2019). LDJump : Estimating variable recombination rates from population genetic data. Molecular Ecology Resources. 19(3). 623–638. 15 indexed citations
7.
Futschik, Andreas, Manuela Winkler, Klaus Steinbauer, et al.. (2019). Disentangling observer error and climate change effects in long‐term monitoring of alpine plant species composition and cover. Journal of Vegetation Science. 31(1). 14–25. 18 indexed citations
8.
Borges, Rui, et al.. (2019). Benchmarking software tools for detecting and quantifying selection in evolve and resequencing studies. Genome biology. 20(1). 169–169. 23 indexed citations
9.
Taus, Thomas, et al.. (2016). Estimating the Effective Population Size from Temporal Allele Frequency Changes in Experimental Evolution. Genetics. 204(2). 723–735. 44 indexed citations
10.
Barth, Kerstin, et al.. (2013). Introducing young dairy goats into the adult herd after parturition reduces social stress. Journal of Dairy Science. 96(9). 5644–5655. 11 indexed citations
11.
Ramsey, David & Andreas Futschik. (2012). DNA Pooling and Statistical Tests for the Detection of Single Nucleotide Polymorphisms. Statistical Applications in Genetics and Molecular Biology. 11(5). Article 1–Article 1. 2 indexed citations
12.
Aeschbacher, Simon, Mark Beaumont, & Andreas Futschik. (2012). A Novel Approach for Choosing Summary Statistics in Approximate Bayesian Computation. Genetics. 192(3). 1027–1047. 64 indexed citations
13.
Ramsey, David & Andreas Futschik. (2011). Optimal DNA pooling for the detection of single nucleotide polymorphisms. University of Limerick Institutional Repository (University of Limerick).
14.
Li, Haipeng, et al.. (2010). Distinguishing Positive Selection From Neutral Evolution: Boosting the Performance of Summary Statistics. Genetics. 187(1). 229–244. 64 indexed citations
15.
Futschik, Andreas & Christian Schlötterer. (2010). The Next Generation of Molecular Markers From Massively Parallel Sequencing of Pooled DNA Samples. Genetics. 186(1). 207–218. 267 indexed citations
16.
Arhant, Christine, Hermann Bubna‐Littitz, Angela Bartels, Andreas Futschik, & Josef Troxler. (2010). Behaviour of smaller and larger dogs: Effects of training methods, inconsistency of owner behaviour and level of engagement in activities with the dog. Applied Animal Behaviour Science. 123(3-4). 131–142. 146 indexed citations
17.
Schlötterer, Christian, et al.. (2009). Detecting Selective Sweeps: A New Approach Based on Hidden Markov Models. Genetics. 181(4). 1567–1578. 40 indexed citations
18.
Futschik, Andreas, et al.. (2008). On the inadmissibility of Watterson’s estimator. Theoretical Population Biology. 73(2). 212–221. 6 indexed citations
19.
Frommlet, Florian & Andreas Futschik. (2004). On the Dependence Structure of Sequence Alignment Scores Calculated with Multiple Scoring Matrices. Statistical Applications in Genetics and Molecular Biology. 3(1). 1–12.
20.
Futschik, Andreas. (1999). Confidence regions for the set of global maximizers of nonparametrically estimated curves. Journal of Statistical Planning and Inference. 82(1-2). 237–250. 2 indexed citations

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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