Valerie King

111 papers receiving 4.0k citations

Hit Papers

Systems to rate the strength of scientific evidence.20022026201020182002202020192024200400600

Peers

Valerie King
Comparison fields: 5 of 194
  • Computer Networks and Communications 815
  • General Health Professions 634
  • Public Health, Environmental and Occupational Health 587
  • Computational Theory and Mathematics 562
  • Artificial Intelligence 512
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Richard Stevens United Kingdom
T. Lang United States
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Valerie King relative to Richard Stevens United Kingdom Richard Stevens's profile →
Citations per field
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Citations per year

Countries citing papers authored by Valerie King

Since Specialization
Citations

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

Fields of papers citing papers by Valerie King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valerie King

This figure shows the co-authorship network connecting the top 25 collaborators of Valerie King. A scholar is included among the top collaborators of Valerie King 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 Valerie King. Valerie King 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
#WorkIndexed citations
1 0
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Updated recommendations for the Cochrane rapid review methods guidance for rapid reviews of effectivenessbreakdown →
77
3 2
4 3
5 16
6 29
7 2
8 6
9
Excluding non-English publications from evidence-syntheses did not change conclusions: a meta-epidemiological studybreakdown →
257
10 45
11 4
12 37
13 31
14
Improving Writing Skills Using Blogging in the Elementary Classroom: Choosing Tools They Use
1
15
Fast asynchronous byzantine agreement and leader election with full information
10
16 46
17 20
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Systems to Rate the Strength of Scientific Evidence: Summary
38
19 13
20 2

About Valerie King

Valerie King is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics and Statistics, Probability and Uncertainty, having authored 117 papers that have together received 4.2k indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (23 papers), Cryptography and Data Security (22 papers) and Complexity and Algorithms in Graphs (21 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (294 citations), Computer Networks and Communications (815 citations) and Computational Theory and Mathematics (562 citations). Valerie King has collaborated with scholars based in United States, Canada and Austria. Frequent co-authors include Monika Henzinger, Chris Kamel, Chantelle Garritty, Kathleen N Lohr, Jared Saia, Barbara Nußbaumer-Streit, Adrienne Stevens, Gerald Gartlehner, Lisa Affengruber and Naomi A Mckoy. Their work appears in journals such as Annals of Internal Medicine, BMJ and Journal of Clinical Epidemiology.

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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