Jochen Voß

2.4k citations
26 papers · 1.5k · h-index 16

Impact in

    • Decision-Making and Behavioral Economics
    • Neural and Behavioral Psychology Studies
    • Functional Brain Connectivity Studies
    • Neural dynamics and brain function
    • Visual perception and processing mechanisms

Papers in

    • Markov Chains and Monte Carlo Methods 4
    • Statistical Methods and Bayesian Inference 2
    • Stochastic processes and financial applications 5

Jochen Voß

26 papers receiving 1.5k citations

Peers

Jochen Voß
Comparison fields: 5 of 125
  • General Decision Sciences 143
  • Cognitive Neuroscience 741
  • Statistics and Probability 235
  • Experimental and Cognitive Psychology 279
  • Applied Psychology 73
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Jochen Voß, 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 Jochen Voß Line = papers co-authored together Jochen Voß links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004437
2 2007307
3 2015163
4 2007130
5 200896
6 199772
7 200462
8 198841
9 200939
10 201135
11 201927
12 201420
13
Signal processing problems on function space: Bayesian formulation, stochastic PDEs and effective MCMC methods
201118
14 201718
15 201316
16
An Introduction to Statistical Computing: A Simulation-based Approach
201315
17 200912
18 202011
19 20119
20 20247

About Jochen Voß

Jochen Voß is a scholar working on Statistics and Probability, Finance, Mathematical Physics, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 26 papers that have together received 1.5k indexed citations. Recurring topics across this work include Stochastic processes and financial applications (5 papers), Markov Chains and Monte Carlo Methods (4 papers), Stochastic processes and statistical mechanics (4 papers), Electric Vehicles and Infrastructure (2 papers), Advanced Battery Technologies Research (2 papers), Mathematical Biology Tumor Growth (2 papers), Geology and Paleoclimatology Research (2 papers) and Statistical Methods and Bayesian Inference (2 papers). The work is most often cited by research in General Decision Sciences (143 citations), Cognitive Neuroscience (741 citations), Statistics and Probability (235 citations), Experimental and Cognitive Psychology (279 citations) and Applied Psychology (73 citations). Jochen Voß has collaborated with scholars based in United Kingdom, Germany and Iraq. Frequent co-authors include Andreas Voß, Klaus Rothermund, Veronika Lerche, Andrew M. Stuart, Martin Hairer, Gareth O. Roberts, Julian Gutt, Alexandros Beskos, Dieter Piepenburg and Karl Christoph Klauer. Their work appears in journals such as Memory & Cognition, Journal of Nonlinear Science, Behavior Research Methods, Frontiers in Psychology and Stochastics and Dynamics.

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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