Matthew A. Psioda

806 total citations
46 papers, 380 citations indexed

About

Matthew A. Psioda is a scholar working on Statistics and Probability, Epidemiology and General Health Professions. According to data from OpenAlex, Matthew A. Psioda has authored 46 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Statistics and Probability, 13 papers in Epidemiology and 9 papers in General Health Professions. Recurrent topics in Matthew A. Psioda's work include Statistical Methods in Clinical Trials (23 papers), Statistical Methods and Inference (13 papers) and Statistical Methods and Bayesian Inference (7 papers). Matthew A. Psioda is often cited by papers focused on Statistical Methods in Clinical Trials (23 papers), Statistical Methods and Inference (13 papers) and Statistical Methods and Bayesian Inference (7 papers). Matthew A. Psioda collaborates with scholars based in United States, United Kingdom and Germany. Matthew A. Psioda's co-authors include Joseph G. Ibrahim, Mat Soukup, Chunlei Ke, Qi Jiang, Zhao Yang, Stephanie L. Smith‐Roe, Jacquelyn J. Bower, Charles M. Perou, Dennis A. Simpson and Micah McCumber and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Stroke.

In The Last Decade

Matthew A. Psioda

40 papers receiving 378 citations

Peers

Matthew A. Psioda
Comparison fields: 5 of 86
  • Statistics and Probability 149
  • General Health Professions 69
  • Epidemiology 65
  • Management Science and Operations Research 51
  • Infectious Diseases 50
Replace Guoxing Soon with:
Guoxing Soon United States
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Weichung Joseph Shih United States
Antonio Carlos Pedroso de Lima Brazil
Cheryl L. Faucett United States
Rick A. Vreman Netherlands
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Fang Chu China
Jonas Häggström Canada
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Guoxing Soon United States View profile →
Citations per field, relative to Matthew A. Psioda
Matthew A. Psioda · 1×
Citations per year, relative to Matthew A. Psioda
Matthew A. Psioda · 1×

Countries citing papers authored by Matthew A. Psioda

Since Specialization
Citations

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

Fields of papers citing papers by Matthew A. Psioda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew A. Psioda. 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 Matthew A. Psioda. The network helps show where Matthew A. Psioda may publish in the future.

Co-authorship network of co-authors of Matthew A. Psioda

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew A. Psioda. A scholar is included among the top collaborators of Matthew A. Psioda 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 Matthew A. Psioda. Matthew A. Psioda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 8
2 1
3 2
4 5
5 1
6 1
7 4
8 0
9 10
10 4
11 6
12 16
13 6
14 15
15 25
16 12
17 7
18 59
19 48
20 5

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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