Roland Langrock

4.8k total citations · 1 hit paper
69 papers, 2.7k citations indexed

About

Roland Langrock is a scholar working on Ecology, Artificial Intelligence and Nature and Landscape Conservation. According to data from OpenAlex, Roland Langrock has authored 69 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Ecology, 15 papers in Artificial Intelligence and 12 papers in Nature and Landscape Conservation. Recurrent topics in Roland Langrock's work include Marine animal studies overview (19 papers), Wildlife Ecology and Conservation (18 papers) and Bayesian Methods and Mixture Models (12 papers). Roland Langrock is often cited by papers focused on Marine animal studies overview (19 papers), Wildlife Ecology and Conservation (18 papers) and Bayesian Methods and Mixture Models (12 papers). Roland Langrock collaborates with scholars based in Germany, United Kingdom and United States. Roland Langrock's co-authors include Toby A. Patterson, Walter Zucchini, Théo Michelot, Iain L. MacDonald, Ruth King, Len Thomas, Juan M. Morales, Vianey Leos‐Barajas, Floris M. van Beest and Daniel Fortin and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and Ecology.

In The Last Decade

Roland Langrock

68 papers receiving 2.6k citations

Hit Papers

moveHMM: an R package for the statistical modelling of an... 2016 2026 2019 2022 2016 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. moveHMM: an R package for the statistical modelling of animal movement data using hidden Markov models
    2016 288 citations Théo Michelot, Roland Langrock et al. Methods in Ecology and Evolution profile →

Peers

Roland Langrock
Ruth King United Kingdom
Devin S. Johnson United States
David R. Smith United States
Walter Zucchini Germany
Toby A. Patterson Australia
Uwe Ligges Germany
Rachel M. Fewster New Zealand
Hans J. Skaug Norway
Joanna Mills Flemming Canada
M. S. Ridout United Kingdom
Ruth King United Kingdom
Roland Langrock
Citations per year, relative to Roland Langrock Roland Langrock (= 1×) peers Ruth King

Countries citing papers authored by Roland Langrock

Since Specialization
Citations

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

Fields of papers citing papers by Roland Langrock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roland Langrock

This figure shows the co-authorship network connecting the top 25 collaborators of Roland Langrock. A scholar is included among the top collaborators of Roland Langrock 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 Roland Langrock. Roland Langrock 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.
Langrock, Roland, et al.. (2024). Demand for live betting: An analysis using state‐space models. Applied Stochastic Models in Business and Industry. 40(2). 527–541. 1 indexed citations
2.
Stanewsky, Ralf, et al.. (2023). Flexible Modelling of Diel and Other Periodic Variation in Hidden Markov Models. Journal of Statistical Theory and Practice. 17(3). 5 indexed citations
3.
Daly, Ryan, et al.. (2021). Evaluating the constraints governing activity patterns of a coastal marine top predator. Marine Biology. 168(1). 15 indexed citations
4.
Williams, Rob, Erin Ashe, Margaret C. Siple, et al.. (2021). Reducing vessel noise increases foraging in endangered killer whales. Marine Pollution Bulletin. 173(Pt A). 112976–112976. 17 indexed citations
5.
Adam, Timo, et al.. (2021). Movement patterns and activity levels are shaped by the neonatal environment in Antarctic fur seal pups. Scientific Reports. 11(1). 14323–14323. 8 indexed citations
6.
Langrock, Roland, et al.. (2021). Individuality counts: A new comprehensive approach to foraging strategies of a tropical marine predator. Oecologia. 195(2). 313–325. 24 indexed citations
7.
McClintock, Brett T., Roland Langrock, Olivier Giménez, et al.. (2020). Uncovering ecological state dynamics with hidden Markov models. Ecology Letters. 23(12). 1878–1903. 129 indexed citations
8.
Deutscher, Christian, et al.. (2020). Performance under pressure in skill tasks: An analysis of professional darts. PLoS ONE. 15(2). e0228870–e0228870. 12 indexed citations
9.
Beumer, Larissa T., Jennifer Pohle, Niels Martin Schmidt, et al.. (2020). An application of upscaled optimal foraging theory using hidden Markov modelling: year-round behavioural variation in a large arctic herbivore. Movement Ecology. 8(1). 25–25. 26 indexed citations
10.
Adam, Timo, Christopher A. Griffiths, Vianey Leos‐Barajas, et al.. (2019). Joint modelling of multi‐scale animal movement data using hierarchical hidden Markov models. Methods in Ecology and Evolution. 10(9). 1536–1550. 44 indexed citations
11.
Beest, Floris M. van, Valerio Bartolino, François Bastardie, et al.. (2019). Classifying grey seal behaviour in relation to environmental variability and commercial fishing activity - a multivariate hidden Markov model. Scientific Reports. 9(1). 5642–5642. 39 indexed citations
12.
13.
Papastamatiou, Yannis P., Yuuki Watanabe, Urška Demšar, et al.. (2018). Activity seascapes highlight central place foraging strategies in marine predators that never stop swimming. Movement Ecology. 6(1). 9–9. 63 indexed citations
14.
Leos‐Barajas, Vianey, Eric J. Gangloff, Timo Adam, et al.. (2017). Multi-scale Modeling of Animal Movement and General Behavior Data Using Hidden Markov Models with Hierarchical Structures. Journal of Agricultural Biological and Environmental Statistics. 22(3). 232–248. 48 indexed citations
15.
DeRuiter, Stacy L., Roland Langrock, Jeremy A. Goldbogen, et al.. (2017). A multivariate mixed hidden Markov model for blue whale behaviour and responses to sound exposure. The Annals of Applied Statistics. 11(1). 83 indexed citations
16.
Michelot, Théo, Roland Langrock, & Toby A. Patterson. (2016). moveHMM: an R package for the statistical modelling of animal movement data using hidden Markov models. Methods in Ecology and Evolution. 7(11). 1308–1315. 288 indexed citations breakdown →
17.
Patterson, Toby A., et al.. (2016). Statistical modelling of animal movement: a myopic review and a discussion of good practice. arXiv (Cornell University). 10 indexed citations
18.
Borchers, David L. & Roland Langrock. (2015). Double-Observer Line Transect Surveys with Markov-Modulated Poisson Process Models for Animal Availability. Biometrics. 71(4). 1060–1069. 11 indexed citations
19.
Langrock, Roland, et al.. (2012). Semiparametric multinomial logit modelling of political party affiliation. arXiv (Cornell University). 1 indexed citations
20.
Langrock, Roland. (2011). Some applications of nonlinear and non-Gaussian state–space modelling by means of hidden Markov models. Journal of Applied Statistics. 38(12). 2955–2970. 27 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ruth King Breakdown of academic impact, for papers by Devin S. Johnson Breakdown of academic impact, for papers by David R. Smith Breakdown of academic impact, for papers by Walter Zucchini Breakdown of academic impact, for papers by Toby A. Patterson Breakdown of academic impact, for papers by Uwe Ligges Breakdown of academic impact, for papers by Rachel M. Fewster Breakdown of academic impact, for papers by Hans J. Skaug Breakdown of academic impact, for papers by Joanna Mills Flemming Breakdown of academic impact, for papers by M. S. Ridout
Rankless by CCL
2026