Kim May

1.0k citations
21 papers · 752 indexed · h-index 11
Topics
Psychometric Methodologies and Testing (7 papers)Statistical Methods in Clinical Trials (5 papers)Behavioral and Psychological Studies (4 papers)
Partner nations
United States

In The Last Decade

Kim May

21 papers receiving 733 citations

Peers

Kim May
Comparison fields: 5 of 119
  • Cognitive Neuroscience 208
  • Experimental and Cognitive Psychology 206
  • Psychiatry and Mental health 172
  • Clinical Psychology 139
  • Epidemiology 99
Replace Sarah Kenny with:
Sarah Kenny United States
Irene Rebollo Netherlands
Donald R. Hedeker United States
Joshua N. Pritikin United States
Mahsa Zahery United States
Mark Daniel United States
Kees‐Jan Kan Netherlands
Thierry Lecerf Switzerland
Kelli J. Klebe United States
Alison A. Papadakis United States
Kim May relative to Sarah Kenny United States Sarah Kenny's profile →
Citations per field
00.5×1.5×2.1×
Sarah Kenny · 1×
Citations per year

Countries citing papers authored by Kim May

Since Specialization
Citations

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

Fields of papers citing papers by Kim May

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kim May

This figure shows the co-authorship network connecting the top 25 collaborators of Kim May. A scholar is included among the top collaborators of Kim May 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 Kim May. Kim May 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 18
2 1
3 4
4 5
5 9
6 178
7 24
8 3
9 68
10 300
11 13
12 2
13 1
14 10
15 16
16 5
17 2
18 26
19 16
20 4

About Kim May

Kim May is a scholar working on Statistics and Probability, Management Science and Operations Research and Developmental and Educational Psychology, having authored 21 papers that have together received 752 indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (7 papers), Statistical Methods in Clinical Trials (5 papers) and Behavioral and Psychological Studies (4 papers). The work is most often cited by research in Experimental and Cognitive Psychology (206 citations), Psychiatry and Mental health (172 citations) and Cognitive Neuroscience (208 citations). Kim May has collaborated with scholars based in United States. Frequent co-authors include James B. Hittner, N. Clayton Silver, Brian K. Sullivan, Joseph Lee Rodgers, David Rowe, W. Alan Nicewander, Michael D. Hunter, David Bard, Edwin van den Oord and William H. Beasley. Their work appears in journals such as Educational and Psychological Measurement, Molecular Ecology Resources and Intelligence.

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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