Ludger Evers A
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Inference
- Statistical Methods and Applications
- Statistical Distribution Estimation and Applications
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- Groundwater flow and contamination studies
Papers in
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- Statistical Methods and Applications 6
- Statistical Methods and Bayesian Inference 2
- Markov Chains and Monte Carlo Methods 2
- Statistical Methods and Inference 2
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- Image and Signal Denoising Methods 2
- Face and Expression Recognition 1
- Co-authors
- Jochen Einbeck (6 shared papers)Claudia‐Martina Messow (1 shared paper)Gerhard Tutz (2 shared papers)ADRIAN W. BOWMAN (3 shared papers)Wayne R. Jones (2 shared papers)Tereza Neocleous (2 shared papers)Agostino Nobile (2 shared papers)Matthijs Bonte (1 shared paper)
- Journals
- Statistics and Computing (2 papers)Journal of Statistical Software (1 paper)Environmental Modelling & Software (1 paper)International Journal of Neural Systems (1 paper)Lecture notes in computational science and engineering (1 paper)
- Partner nations
- United KingdomGermanyIreland
In The Last Decade
Ludger Evers A
17 papers receiving 289 citations
Peers
Comparison fields: 5 of 70
- Statistics and Probability 95
- Environmental Engineering 26
- Water Science and Technology 34
- Artificial Intelligence 50
- Geology 9
Countries citing papers authored by Ludger Evers A
This map shows the geographic impact of Ludger Evers A'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 Ludger Evers A with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ludger Evers A more than expected).
Fields of papers citing papers by Ludger Evers A
This network shows the impact of papers produced by Ludger Evers A. 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 Ludger Evers A. The network helps show where Ludger Evers A may publish in the future.
Co-authors
The 14 scholars most cited alongside Ludger Evers A, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 67 | |
| 2 | 2008 | 64 | |
| 3 | 2018 | 34 | |
| 4 | 2014 | 29 | |
| 5 | 2017 | 28 | |
| 6 | 2010 | 14 | |
| 7 | 2007 | 13 | |
| 8 | 2009 | 10 | |
| 9 | 2009 | 10 | |
| 10 | 2005 | 8 | |
| 11 | A dynamic acoustic view of real-time change in word-final liquids in spontaneous Glaswegian | 2015 | 8 |
| 12 | 2015 | 7 | |
| 13 | Localized regression on principal manifolds. | 2010 | 4 |
| 14 | 2021 | 3 | |
| 15 | 2014 | 2 | |
| 16 | 2017 | 2 | |
| 17 | MSc in Bioinformatics: Statistical Data Mining | 2004 | 1 |
| 18 | 2007 | 1 |
About Ludger Evers A
Ludger Evers A is a scholar working on Statistics and Probability, Computer Vision and Pattern Recognition, Water Science and Technology, Linguistics and Language and Geology, having authored 18 papers that have together received 305 indexed citations. Recurring topics across this work include Statistical Methods and Applications (6 papers), Statistical Methods and Bayesian Inference (2 papers), Water Quality and Resources Studies (2 papers), Image and Signal Denoising Methods (2 papers), Markov Chains and Monte Carlo Methods (2 papers), Statistical Methods and Inference (2 papers), Face and Expression Recognition (1 paper) and Groundwater flow and contamination studies (1 paper). The work is most often cited by research in Statistics and Probability (95 citations), Environmental Engineering (26 citations), Water Science and Technology (34 citations), Artificial Intelligence (50 citations) and Geology (9 citations). Ludger Evers A has collaborated with scholars based in United Kingdom, Germany and Ireland. Frequent co-authors include Jochen Einbeck, Claudia‐Martina Messow, Gerhard Tutz, ADRIAN W. BOWMAN, Wayne R. Jones, Tereza Neocleous, Agostino Nobile, Matthijs Bonte, Timothy Heaton and C. A. L. Bailer‐Jones. Their work appears in journals such as Statistics and Computing, Journal of Statistical Software, Environmental Modelling & Software, International Journal of Neural Systems and Lecture notes in computational science and engineering.
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.