Jochen Voß

2.4k total citations
24 papers, 1.4k citations indexed

About

Jochen Voß is a scholar working on Statistics and Probability, Mathematical Physics and Finance. According to data from OpenAlex, Jochen Voß has authored 24 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Statistics and Probability, 4 papers in Mathematical Physics and 4 papers in Finance. Recurrent topics in Jochen Voß's work include Stochastic processes and financial applications (4 papers), Stochastic processes and statistical mechanics (4 papers) and Statistical Methods and Bayesian Inference (2 papers). Jochen Voß is often cited by papers focused on Stochastic processes and financial applications (4 papers), Stochastic processes and statistical mechanics (4 papers) and Statistical Methods and Bayesian Inference (2 papers). Jochen Voß collaborates with scholars based in United Kingdom, Germany and United States. Jochen Voß's co-authors include Andreas Voß, Klaus Rothermund, Veronika Lerche, Andrew M. Stuart, Julian Gutt, Dieter Piepenburg, Gareth O. Roberts, Alexandros Beskos, Martin Hairer and Karl Christoph Klauer and has published in prestigious journals such as Frontiers in Psychology, Memory & Cognition and Psychonomic Bulletin & Review.

In The Last Decade

Jochen Voß

23 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jochen Voß United Kingdom 14 778 293 190 141 137 24 1.4k
Jan‐Willem Romeijn Netherlands 17 226 0.3× 314 1.1× 137 0.7× 45 0.3× 218 1.6× 49 1.2k
Daniel W. Heck Germany 22 398 0.5× 172 0.6× 136 0.7× 112 0.8× 151 1.1× 81 1.4k
Theodore G. Birdsall United States 23 1.2k 1.5× 344 1.2× 145 0.8× 100 0.7× 380 2.8× 63 3.4k
Irene Klugkist Netherlands 22 315 0.4× 334 1.1× 443 2.3× 73 0.5× 190 1.4× 64 1.6k
James Intriligator United States 24 2.8k 3.6× 751 2.6× 80 0.4× 33 0.2× 48 0.4× 54 3.2k
Jakob Heinzle Germany 25 2.2k 2.8× 441 1.5× 23 0.1× 51 0.4× 89 0.6× 78 2.9k
Charles S. Watson United States 33 2.2k 2.8× 781 2.7× 47 0.2× 21 0.1× 168 1.2× 142 3.0k
John G. Holden United States 21 1.1k 1.4× 264 0.9× 38 0.2× 22 0.2× 372 2.7× 51 2.3k
Michael N. Jones United States 19 500 0.6× 250 0.9× 22 0.1× 33 0.2× 672 4.9× 54 1.8k
Christian C. Luhmann United States 17 501 0.6× 242 0.8× 21 0.1× 220 1.6× 117 0.9× 48 1.2k

Countries citing papers authored by Jochen Voß

Since Specialization
Citations

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

Fields of papers citing papers by Jochen Voß

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jochen Voß

This figure shows the co-authorship network connecting the top 25 collaborators of Jochen Voß. A scholar is included among the top collaborators of Jochen Voß 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 Jochen Voß. Jochen Voß 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.
2.
Cockerill, Tim, et al.. (2024). Heat Transfer Modeling and Optimal Thermal Management of Electric Vehicle Battery Systems. Energies. 17(18). 4575–4575. 5 indexed citations
3.
Voß, Andreas, Veronika Lerche, Ulf K. Mertens, & Jochen Voß. (2019). Sequential sampling models with variable boundaries and non-normal noise: A comparison of six models. Psychonomic Bulletin & Review. 26(3). 813–832. 25 indexed citations
4.
Salzmann, Ulrich, Francesca Sangiorgi, Peter K. Bijl, et al.. (2017). A new quantitative approach to identify reworking in Eocene to Miocene pollen records from offshore Antarctica using red fluorescence and digital imaging. Biogeosciences. 14(8). 2089–2100. 15 indexed citations
5.
Voß, Andreas, Jochen Voß, & Veronika Lerche. (2015). Assessing cognitive processes with diffusion model analyses: a tutorial based on fast-dm-30. Frontiers in Psychology. 6. 336–336. 161 indexed citations
6.
Mardia, K. V. & Jochen Voß. (2014). Some Fundamental Properties of Multivariate von Mises Distributions. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 1 indexed citations
7.
Cook, Samantha R., Amanda Clarke, Michael Fulford, & Jochen Voß. (2014). Characterising the use of urban space: a geochemical case study from Calleva Atrebatum (Silchester, Hampshire, UK) Insula IX during the late first/early second century AD. Journal of Archaeological Science. 50. 108–116. 19 indexed citations
8.
Voß, Jochen. (2013). An Introduction to Statistical Computing. 14 indexed citations
9.
Voß, Jochen. (2013). An Introduction to Statistical Computing: A Simulation-based Approach. CERN Document Server (European Organization for Nuclear Research). 13 indexed citations
10.
Hairer, Martin, Andrew M. Stuart, & Jochen Voß. (2011). Sampling conditioned hypoelliptic diffusions. The Annals of Applied Probability. 21(2). 4 indexed citations
11.
Voß, Andreas, Jochen Voß, & Karl Christoph Klauer. (2009). Separating response‐execution bias from decision bias: Arguments for an additional parameter in Ratcliff's diffusion model. British Journal of Mathematical and Statistical Psychology. 63(3). 539–555. 38 indexed citations
12.
Beskos, Alexandros, Gareth O. Roberts, Andrew M. Stuart, & Jochen Voß. (2008). MCMC METHODS FOR DIFFUSION BRIDGES. Stochastics and Dynamics. 8(3). 319–350. 85 indexed citations
13.
Voß, Andreas & Jochen Voß. (2007). Fast-dm: A free program for efficient diffusion model analysis. Behavior Research Methods. 39(4). 767–775. 295 indexed citations
14.
Voß, Andreas & Jochen Voß. (2007). A fast numerical algorithm for the estimation of diffusion model parameters. Journal of Mathematical Psychology. 52(1). 1–9. 123 indexed citations
15.
Hairer, Martin, Andrew M. Stuart, & Jochen Voß. (2005). A Bayesian Approach to Data Assimilation. 94(16). 921–2. 4 indexed citations
16.
Voß, Jochen. (2004). Some Large Deviation Results for Diffusion Processes. Publication Server of Kaiserslautern University of Technology (Kaiserslautern University of Technology). 1 indexed citations
17.
Voß, Andreas, Klaus Rothermund, & Jochen Voß. (2004). Interpreting the parameters of the diffusion model: An empirical validation. Memory & Cognition. 32(7). 1206–1220. 424 indexed citations
18.
Stuart, Andrew M., et al.. (2004). Conditional Path Sampling of SDEs and the Langevin MCMC Method. Communications in Mathematical Sciences. 2(4). 685–697. 53 indexed citations
19.
20.
Voß, Jochen. (1988). Zoogeographie und Gemeinschaftsanalyse des Makrozoobenthos des Weddellmeeres (Antarktis) (Zoogeography and Community Analysis of Macrozoobenthos of the Weddell Sea (Antarctica)). Helmholtz-Zentrum für Polar-und Meeresforschung (Alfred-Wegener-Institut). 34 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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