Daniel Gerhard

44 papers receiving 2.9k citations

Daniel Gerhard's Hit Papers

Dose-Response Analysis Using R 2015 · 2.6k citations
2.6k0+3+7Years since publication50010001.5k2.0k2.5k

Peers

Daniel Gerhard
Comparison fields: 5 of 162
  • Pollution 523
  • Health, Toxicology and Mutagenesis 413
  • Insect Science 308
  • Plant Science 923
  • Environmental Chemistry 146
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Countries citing papers authored by Daniel Gerhard

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Gerhard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Dose-Response Analysis Using R
Hit paper breakdown →
20152568
2 201981
3 201239
4 201317
5 201714
6 202313
7 201111
8 202010
9 201910
10 20169
11 20159
12 20189
13 20088
14 20098
15 20198
16
An alternative to animal testing in the quality control of erythropoietin.
20117
17 20207
18 20187
19 20167
20 20186

About Daniel Gerhard

Daniel Gerhard is a scholar working on Plant Science, Statistics and Probability, Management Science and Operations Research, Molecular Biology and Nature and Landscape Conservation, having authored 48 papers that have together received 2.9k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (8 papers), Statistical Methods in Clinical Trials (7 papers), Ecology and Vegetation Dynamics Studies (4 papers), Wildlife Ecology and Conservation (3 papers), Animal Ecology and Behavior Studies (3 papers), Pesticide Residue Analysis and Safety (3 papers), Plant Water Relations and Carbon Dynamics (3 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Pollution (523 citations), Health, Toxicology and Mutagenesis (413 citations), Insect Science (308 citations), Plant Science (923 citations) and Environmental Chemistry (146 citations). Daniel Gerhard has collaborated with scholars based in New Zealand, Germany and Switzerland. Frequent co-authors include Christian Ritz, J. C. Streibig, Florent Baty, Ludwig A. Hothorn, Signe Marie Jensen, Ximena J. Nelson, Hazel Chapman, Frank Schaarschmidt, Pierre‐Michel Forget and Megan J. McAuliffe. Their work appears in journals such as Journal of Biopharmaceutical Statistics, Statistics in Biopharmaceutical Research, BMC Medical Research Methodology, Pest Management Science and BMC Genetics.

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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