Trina Hosmer

2.2k total citations · 1 hit paper
13 papers, 1.7k citations indexed

About

Trina Hosmer is a scholar working on Insect Science, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Trina Hosmer has authored 13 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Insect Science, 3 papers in Statistics and Probability and 2 papers in Molecular Biology. Recurrent topics in Trina Hosmer's work include Advanced Statistical Methods and Models (3 papers), Insect-Plant Interactions and Control (3 papers) and Statistical Methods and Bayesian Inference (1 paper). Trina Hosmer is often cited by papers focused on Advanced Statistical Methods and Models (3 papers), Insect-Plant Interactions and Control (3 papers) and Statistical Methods and Bayesian Inference (1 paper). Trina Hosmer collaborates with scholars based in United States, Australia and Netherlands. Trina Hosmer's co-authors include D Hosmer, Stanley Lemeshow, Saskia le Cessie, Alison Venn, Terence Dwyer, Christopher Coyle, J.E. Shaw, David W. Dunstan, George N. Wade and Deborah J. Good and has published in prestigious journals such as International Journal of Obesity, Statistics in Medicine and Agriculture Ecosystems & Environment.

In The Last Decade

Trina Hosmer

13 papers receiving 1.7k citations

Hit Papers

A COMPARISON OF GOODNESS-OF-FIT TESTS FOR THE LOGISTIC RE... 1997 2026 2006 2016 1997 400 800 1.2k

Peers

Trina Hosmer
Comparison fields: 5 of 191
  • Epidemiology 312
  • Surgery 247
  • Cardiology and Cardiovascular Medicine 199
  • Public Health, Environmental and Occupational Health 168
  • Statistics and Probability 152
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Citations per field, relative to Trina Hosmer
Trina Hosmer · 1×
Citations per year, relative to Trina Hosmer
Trina Hosmer · 1×

Countries citing papers authored by Trina Hosmer

Since Specialization
Citations

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

Fields of papers citing papers by Trina Hosmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Trina Hosmer

This figure shows the co-authorship network connecting the top 25 collaborators of Trina Hosmer. A scholar is included among the top collaborators of Trina Hosmer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Trina Hosmer. Trina Hosmer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
# Work Indexed citations
1 10
2 83
3 48
4 26
5
A COMPARISON OF GOODNESS-OF-FIT TESTS FOR THE LOGISTIC REGRESSION MODEL breakdown →
1488
6 25
7 17
8 10
9 1
10 2
11 4
12 16
13 2

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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