Jochen Voß

2.3k citations
29 papers · 1.7k · h-index 16

Impact in

Papers in

Jochen Voß

28 papers receiving 1.7k citations

Peers

Jochen Voß
Comparison fields: 5 of 97
  • General Decision Sciences 309
  • Cognitive Neuroscience 697
  • Statistics and Probability 285
  • Atmospheric Science 146
  • Experimental and Cognitive Psychology 181
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Ingmar Visser Netherlands
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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 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004446
2 2007314
3 2015169
4 2007134
5 2013134
6 2008124
7 200470
8 201144
9 200941
10 201537
11 201928
12 201421
13 201720
14
Signal processing problems on function space: Bayesian formulation, stochastic PDEs and effective MCMC methods
201119
15 200918
16
An Introduction to Statistical Computing: A Simulation-based Approach
201316
17 201316
18 201114
19 202013
20 202410

About Jochen Voß

Jochen Voß is a scholar working on Statistics and Probability, General Decision Sciences, Management Science and Operations Research, Cognitive Neuroscience and Mathematical Physics, having authored 29 papers that have together received 1.7k indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (7 papers), Decision-Making and Behavioral Economics (6 papers), Neural and Behavioral Psychology Studies (5 papers), Stochastic processes and statistical mechanics (4 papers), Psychometric Methodologies and Testing (4 papers), Geology and Paleoclimatology Research (3 papers), Probability and Risk Models (2 papers) and Probability and Statistical Research (2 papers). The work is most often cited by research in General Decision Sciences (309 citations), Cognitive Neuroscience (697 citations), Statistics and Probability (285 citations), Atmospheric Science (146 citations) and Experimental and Cognitive Psychology (181 citations). Jochen Voß has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Andreas Voß, Klaus Rothermund, Andrew M. Stuart, Veronika Lerche, Martin Hairer, Alexandros Beskos, Gareth O. Roberts, Karl Christoph Klauer, Stuart Barber and Ulf Kai Mertens. Their work appears in journals such as Behavior Research Methods, Psychonomic Bulletin & Review, Electronic Journal of Probability, Energies and Journal of Energy Storage.

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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