Kim May

1.1k citations
21 papers · 759 · h-index 11

Impact in

Papers in

Kim May

21 papers receiving 740 citations

Peers

Kim May
Comparison fields: 5 of 114
  • Experimental and Cognitive Psychology 184
  • Psychiatry and Mental health 157
  • Cognitive Neuroscience 163
  • Statistics and Probability 53
  • Clinical Psychology 116
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Sarah Kenny United States
Kelli J. Klebe United States
Mahsa Zahery United States
Joshua N. Pritikin United States
Irene Rebollo Netherlands
Kees‐Jan Kan Netherlands
Donald R. Hedeker United States
Karl H. Wiedl Germany
Alison A. Papadakis United States
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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-authors

The 14 scholars most cited alongside Kim May, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kim May Line = papers co-authored together Kim May links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003304
2 2007180
3 200468
4 199447
5 199726
6 200624
7 201618
8 199816
9 199416
10 200313
11 199811
12 20089
13 20105
14 19975
15 20124
16 19934
17 20053
18 19972
19 20032
20 20121

About Kim May

Kim May is a scholar working on Management Science and Operations Research, Statistics and Probability, Computer Networks and Communications, Developmental and Educational Psychology and Experimental and Cognitive Psychology, having authored 21 papers that have together received 759 indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (7 papers), Statistical Methods in Clinical Trials (5 papers), Behavioral and Psychological Studies (4 papers), Advanced Statistical Modeling Techniques (4 papers), Multi-Criteria Decision Making (3 papers), Cognitive Abilities and Testing (2 papers), Meta-analysis and systematic reviews (2 papers) and Early Childhood Education and Development (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (184 citations), Psychiatry and Mental health (157 citations), Cognitive Neuroscience (163 citations), Statistics and Probability (53 citations) and Clinical Psychology (116 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, Warren B. Miller, S. Mason Garrison, Michael D. Hunter and William H. Beasley. Their work appears in journals such as Applied Psychological Measurement, The Journal of Experimental Education, The Journal of General Psychology, Journal of Educational Measurement and Molecular Ecology Resources.

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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