Jochen Einbeck
- Complementary and alternative medicine top 5%
- Orthopedics and Sports Medicine top 10%
- Statistics and Probability top 5%
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Co-authors
- Gerhard TutzLudger EversK McMillanJohn NewellNiall MaddenDavid HigginsElizabeth A. AinsburyUrsula Gather
- Topics
- Advanced Statistical Methods and Models (13 papers)Statistical Methods and Inference (12 papers)Statistical Methods and Bayesian Inference (9 papers)
- Cited by
- Complementary and alternative medicineStatistics and ProbabilityOrthopedics and Sports Medicine
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationPLoS ONE
- Partner nations
- United KingdomGermanySaudi Arabia
In The Last Decade
Jochen Einbeck
53 papers receiving 438 citations
Peers
Comparison fields: 5 of 116
- Complementary and alternative medicine 84
- Orthopedics and Sports Medicine 83
- Statistics and Probability 79
- Artificial Intelligence 74
- Computer Vision and Pattern Recognition 44
Countries citing papers authored by Jochen Einbeck
This map shows the geographic impact of Jochen Einbeck'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 Einbeck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jochen Einbeck more than expected).
Fields of papers citing papers by Jochen Einbeck
This network shows the impact of papers produced by Jochen Einbeck. 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 Einbeck. The network helps show where Jochen Einbeck may publish in the future.
Co-authorship network of co-authors of Jochen Einbeck
This figure shows the co-authorship network connecting the top 25 collaborators of Jochen Einbeck. A scholar is included among the top collaborators of Jochen Einbeck 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 Einbeck. Jochen Einbeck is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 14 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 6 | |
| 12 | 15 | |
| 13 | 10 | |
| 14 | 13 | |
| 15 | 4 | |
| 16 | The correlation threshold as a strategy for gene filtering, with application to irritable bowel syndrome and breast cancer microarray data. | 1 |
| 17 | A summer with genes : simple disease classification from microarray data. | 1 |
| 18 | 2 | |
| 19 | 14 | |
| 20 | A new package for fitting random effect models. | 1 |
About Jochen Einbeck
Jochen Einbeck is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Artificial Intelligence, having authored 57 papers that have together received 461 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (13 papers), Statistical Methods and Inference (12 papers) and Statistical Methods and Bayesian Inference (9 papers). The work is most often cited by research in Complementary and alternative medicine (84 citations), Statistics and Probability (79 citations) and Orthopedics and Sports Medicine (83 citations). Jochen Einbeck has collaborated with scholars based in United Kingdom, Germany and Saudi Arabia. Frequent co-authors include Gerhard Tutz, Ludger Evers, K McMillan, John Newell, Niall Madden, David Higgins, Elizabeth A. Ainsbury, Ursula Gather, Roland Fried and Nadja Reissland. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and PLoS ONE.
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.