V. Guiard

992 citations
33 papers · 691 · h-index 13

Impact in

Papers in

V. Guiard

32 papers receiving 646 citations

Peers

V. Guiard
Comparison fields: 5 of 164
  • Statistics and Probability 120
  • Animal Science and Zoology 84
  • Agronomy and Crop Science 60
  • Management Science and Operations Research 61
  • Genetics 124
Replace Myra L. Samuels with:
Myra L. Samuels United States
Mehmet Mendeş Türkiye
Carmen D. Tekwe United States
Garth Tarr Australia
Ian Saunders Australia
Vicente Núñez‐Antón Spain
R. R. Corbeil United States
George H. Brown Australia
S. A. Zinn United States
Graham A. Jones United States
V. Guiard relative to Myra L. Samuels United States Myra L. Samuels's profile →
Citations per field
00.5×3.7×
Myra L. Samuels · 1×
Citations per year

Countries citing papers authored by V. Guiard

Since Specialization
Citations

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

Fields of papers citing papers by V. Guiard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The robustness of parametric statistical methods
2004165
2 200874
3 200265
4 200764
5 200443
6 200433
7
Verfahrensbibliothek Versuchsplanung und -auswertung.
199633
8 200531
9 200126
10 200520
11 200620
12 200814
13 201013
14
The Robustness of Two Sample Tests for Means - a Reply on Von Eye's Comment
200411
15 199511
16 200510
17 20009
18 19897
19 19947
20 20036

About V. Guiard

V. Guiard is a scholar working on Statistics and Probability, Management Science and Operations Research, Genetics, Plant Science and Animal Science and Zoology, having authored 33 papers that have together received 691 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (10 papers), Optimal Experimental Design Methods (9 papers), Genetic and phenotypic traits in livestock (8 papers), Advanced Statistical Methods and Models (7 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers), Statistical Methods and Inference (5 papers), Animal Nutrition and Physiology (4 papers) and Genetics and Plant Breeding (4 papers). The work is most often cited by research in Statistics and Probability (120 citations), Animal Science and Zoology (84 citations), Agronomy and Crop Science (60 citations), Management Science and Operations Research (61 citations) and Genetics (124 citations). V. Guiard has collaborated with scholars based in Germany, Switzerland and Russia. Frequent co-authors include Dieter Rasch, F. Teuscher, Frank Bretz, W. B. Souffrant, Paweł Janczyk, Hauke Smidt, Robert Pieper, Annette Zeyner, Ludwig A. Hothorn and J. Wegner. Their work appears in journals such as Biometrical Journal, Journal of Statistical Planning and Inference, Genetics, Genetics Research and Theriogenology.

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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