Helmut Küchenhoff

9.6k citations
228 papers · 5.7k · h-index 42

Impact in

Papers in

    • Statistical Methods and Inference 25
    • Statistical Methods and Bayesian Inference 21
    • Advanced Statistical Methods and Models 8
    • Sepsis Diagnosis and Treatment 10

Helmut Küchenhoff

222 papers receiving 5.4k citations

Peers

Helmut Küchenhoff
Comparison fields: 5 of 213
  • Statistics and Probability 555
  • Health, Toxicology and Mutagenesis 551
  • Ecological Modeling 159
  • Small Animals 240
  • Nature and Landscape Conservation 305
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Citations per year

Countries citing papers authored by Helmut Küchenhoff

Since Specialization
Citations

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

Fields of papers citing papers by Helmut Küchenhoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 228 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008274
2 2007245
3 2007218
4 2005141
5 1996139
6 2008125
7 2005117
8 2010109
9 2007105
10 200895
11 201087
12 200687
13 202085
14 201183
15 200480
16 201477
17 200874
18 201369
19 200264
20 200962

About Helmut Küchenhoff

Helmut Küchenhoff is a scholar working on Statistics and Probability, Epidemiology, Genetics, Artificial Intelligence and Health, Toxicology and Mutagenesis, having authored 228 papers that have together received 5.7k indexed citations. Recurring topics across this work include Statistical Methods and Inference (25 papers), Statistical Methods and Bayesian Inference (21 papers), Wildlife Ecology and Conservation (13 papers), Air Quality and Health Impacts (13 papers), Animal Behavior and Welfare Studies (12 papers), Sepsis Diagnosis and Treatment (10 papers), COVID-19 epidemiological studies (9 papers) and Advanced Statistical Methods and Models (8 papers). The work is most often cited by research in Statistics and Probability (555 citations), Health, Toxicology and Mutagenesis (551 citations), Ecological Modeling (159 citations), Small Animals (240 citations) and Nature and Landscape Conservation (305 citations). Helmut Küchenhoff has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Sonja Greven, Fabian Scheipl, Raymond J. Carroll, Annette Peters, Denise Güthlin, Wolfgang H. Hartl, Emmanuel Lesaffre, Hansjörg Schmid, Veronika Fensterer and Leonard A. Stefanski. Their work appears in journals such as PLoS ONE, Statistics in Medicine, Journal of Veterinary Behavior, Scientific Reports and Statistical Modelling.

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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