Kaitlyn E. May
Impact in
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- Technology Adoption and User Behaviour
- Cognitive Neuroscience top 10%
- Autism Spectrum Disorder Research
- Functional Brain Connectivity Studies
- Mind wandering and attention
Papers in
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- Autism Spectrum Disorder Research 6
- Psychology of Moral and Emotional Judgment 3
- Functional Brain Connectivity Studies 2
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- Child and Animal Learning Development 2
- Co-authors
- Anastasia D. Elder (1 shared paper)Rajesh K. Kana (6 shared papers)Gilliane Monnier (1 shared paper)Jason M. Scofield (4 shared papers)Priyanka H. Patel (1 shared paper)Chuong Bui (2 shared papers)Stephen J. Thoma (1 shared paper)Jamie DeCoster (1 shared paper)
- Journals
- Autism Research (2 papers)Journal of Experimental Child Psychology (1 paper)Brain Structure and Function (1 paper)Social Neuroscience (1 paper)Social Development (1 paper)
- Partner nations
- United States
In The Last Decade
Kaitlyn E. May
13 papers receiving 289 citations
Peers
Comparison fields: 5 of 58
- Information Systems and Management 41
- Cognitive Neuroscience 103
- Archeology 5
- Developmental and Educational Psychology 52
- Computer Science Applications 18
Countries citing papers authored by Kaitlyn E. May
This map shows the geographic impact of Kaitlyn E. 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 Kaitlyn E. May with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaitlyn E. May more than expected).
Fields of papers citing papers by Kaitlyn E. May
This network shows the impact of papers produced by Kaitlyn E. 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 Kaitlyn E. May. The network helps show where Kaitlyn E. May may publish in the future.
Co-authors
The 11 scholars most cited alongside Kaitlyn E. May, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 191 | |
| 2 | 2020 | 53 | |
| 3 | 2019 | 16 | |
| 4 | 2020 | 12 | |
| 5 | 2023 | 9 | |
| 6 | 2019 | 7 | |
| 7 | 2021 | 3 | |
| 8 | 2021 | 3 | |
| 9 | 2021 | 2 | |
| 10 | 2022 | 2 | |
| 11 | 2022 | 1 | |
| 12 | 2022 | 1 | |
| 13 | 2023 | 1 | |
| 14 | 2014 | 0 |
About Kaitlyn E. May
Kaitlyn E. May is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology, Psychiatry and Mental health, Genetics and Clinical Psychology, having authored 14 papers that have together received 301 indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (6 papers), Psychology of Moral and Emotional Judgment (3 papers), Genetics and Neurodevelopmental Disorders (3 papers), Child and Animal Learning Development (2 papers), Obsessive-Compulsive Spectrum Disorders (2 papers), Social and Intergroup Psychology (2 papers), Attention Deficit Hyperactivity Disorder (2 papers) and Functional Brain Connectivity Studies (2 papers). The work is most often cited by research in Information Systems and Management (41 citations), Cognitive Neuroscience (103 citations), Archeology (5 citations), Developmental and Educational Psychology (52 citations) and Computer Science Applications (18 citations). Kaitlyn E. May has collaborated with scholars based in United States. Frequent co-authors include Anastasia D. Elder, Rajesh K. Kana, Gilliane Monnier, Jason M. Scofield, Priyanka H. Patel, Chuong Bui, Stephen J. Thoma, Jamie DeCoster, Melissa Chapman and Janet J. Boseovski. Their work appears in journals such as Autism Research, Journal of Experimental Child Psychology, Brain Structure and Function, Social Neuroscience and Social Development.
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.