Daniel Turek

927 total citations
34 papers, 432 citations indexed

About

Daniel Turek is a scholar working on Ecology, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Daniel Turek has authored 34 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Ecology, 14 papers in Statistics and Probability and 7 papers in Artificial Intelligence. Recurrent topics in Daniel Turek's work include Wildlife Ecology and Conservation (13 papers), Statistical Methods and Bayesian Inference (7 papers) and Animal Ecology and Behavior Studies (5 papers). Daniel Turek is often cited by papers focused on Wildlife Ecology and Conservation (13 papers), Statistical Methods and Bayesian Inference (7 papers) and Animal Ecology and Behavior Studies (5 papers). Daniel Turek collaborates with scholars based in United States, Norway and France. Daniel Turek's co-authors include Perry de Valpine, David Fletcher, Pierre Dupont, Cyril Milleret, Henrik Brøseth, Richard Bischof, Floriane Plard, Michael Schaub, Christopher J. Paciorek and Olivier Giménez and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Daniel Turek

31 papers receiving 420 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Turek United States 13 259 97 79 59 57 34 432
Megan D. Higgs United States 12 234 0.9× 62 0.6× 122 1.5× 38 0.6× 69 1.2× 23 409
Richard Glennie United Kingdom 7 192 0.7× 59 0.6× 56 0.7× 31 0.5× 66 1.2× 9 323
Nils Koesters United Kingdom 3 220 0.8× 52 0.5× 158 2.0× 27 0.5× 94 1.6× 6 355
Ian Westbrooke New Zealand 14 280 1.1× 76 0.8× 96 1.2× 18 0.3× 73 1.3× 26 439
Pierre Dupont Norway 14 420 1.6× 106 1.1× 46 0.6× 41 0.7× 32 0.6× 43 580
John J. Borkowski United States 11 228 0.9× 25 0.3× 144 1.8× 41 0.7× 55 1.0× 22 486
Earl F. Becker United States 15 442 1.7× 100 1.0× 75 0.9× 35 0.6× 57 1.0× 23 508
Anne Viallefont France 14 538 2.1× 55 0.6× 196 2.5× 58 1.0× 91 1.6× 21 685
Christophe Barbraud France 5 530 2.0× 164 1.7× 107 1.4× 25 0.4× 172 3.0× 7 595
K. Pollock United States 6 457 1.8× 118 1.2× 153 1.9× 29 0.5× 96 1.7× 9 531

Countries citing papers authored by Daniel Turek

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Turek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Turek

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Turek. A scholar is included among the top collaborators of Daniel Turek 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 Daniel Turek. Daniel Turek 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.
Milleret, Cyril, Pierre Dupont, Henrik Brøseth, et al.. (2025). Map of death: spatially explicit mortality of the grey wolf. Proceedings of the Royal Society B Biological Sciences. 292(2053). 20250948–20250948.
2.
Turek, Daniel, Perry de Valpine, & Christopher J. Paciorek. (2024). nimbleHMC: An R package for Hamiltonian Monte Carlosampling in nimble. The Journal of Open Source Software. 9(99). 6745–6745.
3.
Bischof, Richard, Asunción Semper‐Pascual, Simon D. Schowanek, et al.. (2024). The moon’s influence on the activity of tropical forest mammals. Proceedings of the Royal Society B Biological Sciences. 291(2033). 20240683–20240683. 5 indexed citations
4.
Papathomas, Michail, Ben C. Stevenson, Rachel M. Fewster, et al.. (2024). A flexible framework for spatial capture-recapture with unknown identities. Biometrics. 80(1). 1 indexed citations
5.
Raymond, Michel, Daniel Turek, & Pierre‐André Crochet. (2024). Testing Fraternal Birth Order Effects and Antagonistic Effects for Homosexual Men: Power Comparison of Various Methods. Archives of Sexual Behavior. 54(1). 23–34. 2 indexed citations
6.
Raymond, Michel, Daniel Turek, Valérie Durand, et al.. (2023). Increased birth rank of homosexual males: disentangling the older brother effect and sexual antagonism hypothesis. SHILAP Revista de lepidopterología. 3. 10 indexed citations
7.
Milleret, Cyril, Pierre Dupont, Henrik Brøseth, et al.. (2022). Estimating spatially variable and density‐dependent survival using open‐population spatial capture–recapture models. Ecology. 104(2). e3934–e3934. 7 indexed citations
8.
Turek, Daniel, Cyril Milleret, Torbjørn Ergon, et al.. (2021). Efficient estimation of large‐scale spatial capture–recapture models. Ecosphere. 12(2). 25 indexed citations
9.
Barbraud, Christophe, Frédéric Barraquand, Daniel Turek, et al.. (2021). Multispecies integrated population model reveals bottom‐up dynamics in a seabird predator–prey system. Ecological Monographs. 91(3). 12 indexed citations
10.
Plard, Floriane, Daniel Turek, & Michael Schaub. (2021). Consequences of violating assumptions of integrated population models on parameter estimates. Environmental and Ecological Statistics. 28(3). 667–695. 9 indexed citations
11.
Nater, Chloé R., Yngvild Vindenes, Per Aass, et al.. (2020). Size‐ and stage‐dependence in cause‐specific mortality of migratory brown trout. Journal of Animal Ecology. 89(9). 2122–2133. 15 indexed citations
12.
Bischof, Richard, Cyril Milleret, Pierre Dupont, et al.. (2020). Estimating and forecasting spatial population dynamics of apex predators using transnational genetic monitoring. Proceedings of the National Academy of Sciences. 117(48). 30531–30538. 81 indexed citations
13.
Milleret, Cyril, Pierre Dupont, Joseph Chipperfield, et al.. (2020). Estimating abundance with interruptions in data collection using open population spatial capture–recapture models. Ecosphere. 11(7). 13 indexed citations
14.
Plard, Floriane, Daniel Turek, Martin U. Grüebler, & Michael Schaub. (2019). IPM2: toward better understanding and forecasting of population dynamics. Ecological Monographs. 89(3). 30 indexed citations
15.
Risser, Mark D. & Daniel Turek. (2019). Bayesian nonstationary Gaussian process modeling: the BayesNSGP package for R. arXiv (Cornell University). 1 indexed citations
16.
Valpine, Perry de, et al.. (2019). Nested Adaptation of MCMC Algorithms. Bayesian Analysis. 15(4). 2 indexed citations
17.
Topaz, Chad M., Bernhard Klingenberg, Daniel Turek, et al.. (2019). Diversity of artists in major U.S. museums. PLoS ONE. 14(3). e0212852–e0212852. 22 indexed citations
18.
Turek, Daniel, Perry de Valpine, & Christopher J. Paciorek. (2016). Efficient Markov chain Monte Carlo sampling for hierarchical hidden Markov models. Environmental and Ecological Statistics. 23(4). 549–564. 28 indexed citations
19.
Turek, Daniel. (2015). Comparison of the Frequentist MATA Confidence Interval with Bayesian Model-Averaged Confidence Intervals. SHILAP Revista de lepidopterología. 2015. 1–9. 4 indexed citations
20.
Slooten, Elisabeth, et al.. (2013). Distribution and abundance of Hector's dolphins off Otago, New Zealand. New Zealand Journal of Marine and Freshwater Research. 47(2). 181–191. 7 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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