Werner Ehm

697 citations
25 papers · 469 · h-index 8

Impact in

Papers in

Werner Ehm

23 papers receiving 427 citations

Peers

Werner Ehm
Comparison fields: 5 of 85
  • Statistics and Probability 93
  • Mathematical Physics 101
  • Cognitive Neuroscience 175
  • Finance 80
  • Applied Mathematics 64
Replace Aniello Buonocore with:
Aniello Buonocore Italy
Philip E. Cheng Taiwan
Alexandra Piryatinska United States
Pham Dinh Tuan France
Thomas J. Taylor United States
Günther Sawitzki Germany
Javier Baladron Germany
Olivier Guédon France
I. C. Donnelly Australia
Hayato Saigo Japan
Werner Ehm relative to Aniello Buonocore Italy Aniello Buonocore's profile →
Citations per field
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Aniello Buonocore · 1×
Citations per year

Countries citing papers authored by Werner Ehm

Since Specialization
Citations

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

Fields of papers citing papers by Werner Ehm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Werner Ehm, 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 Werner Ehm Line = papers co-authored together Werner Ehm links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198184
2 199178
3 200572
4 200754
5 200446
6 201043
7 200329
8 200714
9
Meta-Analysis of Mind-Matter Experiments: A Statistical Modeling Perspective
20057
10 20166
11 20125
12 20105
13 20174
14 20163
15 20033
16 19963
17 20092
18 20012
19 19832
20 19952

About Werner Ehm

Werner Ehm is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics, Statistics and Probability, Mathematical Physics and Finance, having authored 25 papers that have together received 469 indexed citations. Recurring topics across this work include Neural dynamics and brain function (5 papers), Visual perception and processing mechanisms (3 papers), Statistical Methods and Inference (3 papers), Statistical Mechanics and Entropy (3 papers), Stochastic processes and financial applications (2 papers), Statistical Methods and Bayesian Inference (2 papers), Financial Risk and Volatility Modeling (2 papers) and Neuroscience and Music Perception (2 papers). The work is most often cited by research in Statistics and Probability (93 citations), Mathematical Physics (101 citations), Cognitive Neuroscience (175 citations), Finance (80 citations) and Applied Mathematics (64 citations). Werner Ehm has collaborated with scholars based in Germany, United States and Japan. Frequent co-authors include Jiřı́ Wackermann, Jürgen Kornmeier, Tilmann Gneiting, Michael Bach, Donald Richards, Marc G. Genton, Stefan Rotter, Benjamin Staude, Sven P. Heinrich and Dominic Müller. Their work appears in journals such as Psychophysiology, Electronic Journal of Statistics, Probability Theory and Related Fields, Comptes Rendus Mathématique and Journal of Theoretical Biology.

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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