Theodore Kypraios

1.6k total citations
61 papers, 908 citations indexed

About

Theodore Kypraios is a scholar working on Modeling and Simulation, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Theodore Kypraios has authored 61 papers receiving a total of 908 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Modeling and Simulation, 12 papers in Statistics and Probability and 11 papers in Artificial Intelligence. Recurrent topics in Theodore Kypraios's work include COVID-19 epidemiological studies (11 papers), Bacterial Identification and Susceptibility Testing (9 papers) and Antimicrobial Resistance in Staphylococcus (8 papers). Theodore Kypraios is often cited by papers focused on COVID-19 epidemiological studies (11 papers), Bacterial Identification and Susceptibility Testing (9 papers) and Antimicrobial Resistance in Staphylococcus (8 papers). Theodore Kypraios collaborates with scholars based in United Kingdom, Thailand and Greece. Theodore Kypraios's co-authors include Philip D. O’Neill, Peter Neal, Ben S. Cooper, Chris Jewell, Gareth O. Roberts, Dennis Prangle, Simon Preston, Jonathan D. Edgeworth, Nikos E. Papanikolaou and Sheryl L. Rifas‐Shiman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Clinical Infectious Diseases.

In The Last Decade

Theodore Kypraios

56 papers receiving 885 citations

Peers

Theodore Kypraios
Comparison fields: 5 of 132
  • Infectious Diseases 199
  • Modeling and Simulation 186
  • Epidemiology 182
  • Artificial Intelligence 117
  • Molecular Biology 107
Replace Rob Deardon with:
Rob Deardon Canada
Philip D. O’Neill United Kingdom
Pieter Trapman Sweden
Rolf J.F. Ypma Netherlands
Erik Jørgensen Denmark
Peter Neal United Kingdom
Uri Obolski Israel
Hervé Chaudet France
Andreas Ipsen United Kingdom
Richard Howey United Kingdom
Rob Deardon Canada View profile →
Citations per field, relative to Theodore Kypraios
Theodore Kypraios · 1×
Citations per year, relative to Theodore Kypraios
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Countries citing papers authored by Theodore Kypraios

Since Specialization
Citations

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

Fields of papers citing papers by Theodore Kypraios

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Theodore Kypraios

This figure shows the co-authorship network connecting the top 25 collaborators of Theodore Kypraios. A scholar is included among the top collaborators of Theodore Kypraios 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 Theodore Kypraios. Theodore Kypraios 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 0
2 0
3 0
4 3
5 2
6 1
7 2
8 19
9 3
10 13
11 16
12 17
13 39
14 13
15 38
16 11
17 16
18 25
19 1
20 49

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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