Edith Seier

488 citations
30 papers · 353 · h-index 11

Impact in

Papers in

    • Advanced Statistical Methods and Models 5
    • Statistical Distribution Estimation and Applications 5
    • Statistics Education and Methodologies 5
    • Statistical Methods and Bayesian Inference 3

Edith Seier

29 papers receiving 338 citations

Peers

Edith Seier
Comparison fields: 5 of 110
  • Statistics and Probability 84
  • Orthopedics and Sports Medicine 52
  • Statistics, Probability and Uncertainty 22
  • Insect Science 28
  • Ecology, Evolution, Behavior and Systematics 39
Replace Xu-Qing Liu with:
Xu-Qing Liu China
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Rainer Opgen-Rhein Germany
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María José Gómez‐Torres Spain
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Citations per field
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Citations per year

Countries citing papers authored by Edith Seier

Since Specialization
Citations

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

Fields of papers citing papers by Edith Seier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200258
2 200646
3 200638
4 201130
5 201224
6 200522
7 201018
8 200717
9 200316
10 200316
11 200711
12 201410
13 20088
14 20188
15 20154
16
Introduction to STATISTICS in a biological context
20114
17 20134
18 20083
19
A graph-theoretic model based on primary and predicted secondary structure reveals functional specificity in a set of plant secondary product UDP-glucosyltransferases
20093
20 20112

About Edith Seier

Edith Seier is a scholar working on Statistics and Probability, Molecular Biology, Ecology, Evolution, Behavior and Systematics, Genetics and Insect Science, having authored 30 papers that have together received 353 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (5 papers), Statistical Distribution Estimation and Applications (5 papers), Insect and Arachnid Ecology and Behavior (5 papers), Statistics Education and Methodologies (5 papers), Plant and animal studies (4 papers), Insect behavior and control techniques (3 papers), Bone health and osteoporosis research (3 papers) and Statistical Methods and Bayesian Inference (3 papers). The work is most often cited by research in Statistics and Probability (84 citations), Orthopedics and Sports Medicine (52 citations), Statistics, Probability and Uncertainty (22 citations), Insect Science (28 citations) and Ecology, Evolution, Behavior and Systematics (39 citations). Edith Seier has collaborated with scholars based in United States and Serbia. Frequent co-authors include Douglas G. Bonett, Darrell Moore, Ronald C. Hamdy, Teresa W. Haynes, Yue Zou, Nelson B. Watts, Gary M. Kiebzak, Karl H. Joplin, Samuel Kotz and Ruth Welti. Their work appears in journals such as The American Statistician, Physiological Entomology, Osteoporosis International, Spatial Statistics and Mathematical Biosciences & Engineering.

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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