Jochen Einbeck

830 citations
70 papers · 538 · h-index 12

Impact in

Papers in

    • Advanced Statistical Methods and Models 15
    • Statistical Methods and Inference 14
    • Statistical Methods and Bayesian Inference 10
    • Bayesian Methods and Mixture Models 8
    • Neural Networks and Applications 3

Jochen Einbeck

66 papers receiving 512 citations

Peers

Jochen Einbeck
Comparison fields: 5 of 113
  • Statistics and Probability 92
  • Orthopedics and Sports Medicine 70
  • Complementary and alternative medicine 61
  • Computational Mathematics 4
  • Equine 7
Replace Lothar Heinrich with:
Lothar Heinrich Germany
Qifan Song United States
James Wilson United States
Hölger Hoefling Switzerland
Ludger Evers United Kingdom
Lizhen Lin United States
Artur Gramacki Poland
Connor J. Dalzell Canada
David Hallac United States
André Gonçalves Brazil
Jochen Einbeck relative to Lothar Heinrich Germany Lothar Heinrich's profile →
Citations per field
00.5×1.5×1.9×
Lothar Heinrich · 1×
Citations per year

Countries citing papers authored by Jochen Einbeck

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007121
2 200564
3 200636
4 201530
5 200722
6 202016
7 201016
8 201115
9 202314
10 201014
11 201814
12 200712
13 201311
14 201810
15 202010
16 200910
17 20208
18 20058
19 20216
20 20126

About Jochen Einbeck

Jochen Einbeck is a scholar working on Statistics and Probability, Artificial Intelligence, Statistics, Probability and Uncertainty, Molecular Biology and Control and Systems Engineering, having authored 70 papers that have together received 538 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (15 papers), Statistical Methods and Inference (14 papers), Statistical Methods and Bayesian Inference (10 papers), Bayesian Methods and Mixture Models (8 papers), Statistical and numerical algorithms (6 papers), Control Systems and Identification (5 papers), Spectroscopy and Chemometric Analyses (3 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Statistics and Probability (92 citations), Orthopedics and Sports Medicine (70 citations), Complementary and alternative medicine (61 citations), Computational Mathematics (4 citations) and Equine (7 citations). Jochen Einbeck has collaborated with scholars based in United Kingdom, Germany and Spain. Frequent co-authors include Gerhard Tutz, Ludger Evers, Niall Madden, John Newell, David Higgins, Elizabeth A. Ainsbury, Ursula Gather, Pedro Puig, Roland Fried and Nadja Reissland. Their work appears in journals such as Statistical Modelling, Statistics and Computing, International Journal of Radiation Biology, Journal of Statistical Computation and Simulation and BMJ Open.

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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