Kate Bull

683 total citations
18 papers, 383 citations indexed

About

Kate Bull is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Kate Bull has authored 18 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Artificial Intelligence. Recurrent topics in Kate Bull's work include Congenital Heart Disease Studies (5 papers), Bayesian Modeling and Causal Inference (4 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). Kate Bull is often cited by papers focused on Congenital Heart Disease Studies (5 papers), Bayesian Modeling and Causal Inference (4 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). Kate Bull collaborates with scholars based in United Kingdom, United States and Bulgaria. Kate Bull's co-authors include Jane Somerville, David Spiegelhalter, David J. Spiegelhalter, Lindy Holden‐Dye, Steven Glautier, Vincent O’Connor, Rodney Franklin, Alessandra Frigiola, Neil A. Hopper and Kate Brown and has published in prestigious journals such as Circulation, Journal of the American Statistical Association and Journal of the American College of Cardiology.

In The Last Decade

Kate Bull

18 papers receiving 371 citations

Peers

Kate Bull
Comparison fields: 5 of 83
  • Epidemiology 195
  • Pulmonary and Respiratory Medicine 143
  • Surgery 115
  • Cardiology and Cardiovascular Medicine 62
  • Aging 51
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Citations per field, relative to Kate Bull
Kate Bull · 1×
Citations per year, relative to Kate Bull
Kate Bull · 1×

Countries citing papers authored by Kate Bull

Since Specialization
Citations

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

Fields of papers citing papers by Kate Bull

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kate Bull

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

All Works

18 of 18 papers shown
# Work Indexed citations
1 34
2 23
3 25
4 14
5 54
6 1
7 4
8 17
9 52
10 4
11 8
12 9
13 91
14 5
15 16
16 15
17
Criticizing Conditional Probabilities in Belief Networks
2
18 9

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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