Neysa Petrina
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Cognitive Neuroscience top 10%
- Autism Spectrum Disorder Research
Papers in
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- Autism Spectrum Disorder Research 7
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- Family and Disability Support Research 7
- Co-authors
- Mark Carter (7 shared papers)Jennifer Stephenson (7 shared papers)Simon Poon (7 shared papers)David Hua (5 shared papers)Jin‐Gun Cho (5 shared papers)Naomi Sweller (2 shared papers)Noel Young (5 shared papers)Angus Ritchie (1 shared paper)
- Journals
- International Journal of Medical Informatics (2 papers)Journal of Autism and Developmental Disorders (2 papers)Artificial Intelligence in Medicine (1 paper)Education and training in autism and developmental disabilities (1 paper)Research in Developmental Disabilities (1 paper)
- Partner nations
- AustraliaUnited Kingdom
In The Last Decade
Neysa Petrina
15 papers receiving 339 citations
Peers
Comparison fields: 5 of 65
- Health Informatics 27
- Cognitive Neuroscience 203
- Clinical Psychology 170
- Safety Research 37
- Developmental and Educational Psychology 54
Countries citing papers authored by Neysa Petrina
This map shows the geographic impact of Neysa Petrina'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 Neysa Petrina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neysa Petrina more than expected).
Fields of papers citing papers by Neysa Petrina
This network shows the impact of papers produced by Neysa Petrina. 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 Neysa Petrina. The network helps show where Neysa Petrina may publish in the future.
Co-authors
The 17 scholars most cited alongside Neysa Petrina, 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 | 2013 | 177 | |
| 2 | 2023 | 56 | |
| 3 | 2016 | 30 | |
| 4 | 2015 | 26 | |
| 5 | 2014 | 22 | |
| 6 | 2022 | 16 | |
| 7 | 2023 | 9 | |
| 8 | 2021 | 9 | |
| 9 | 2017 | 5 | |
| 10 | 2010 | 5 | |
| 11 | 2023 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2023 | 2 | |
| 14 | 2020 | 1 | |
| 15 | 2021 | 1 |
About Neysa Petrina
Neysa Petrina is a scholar working on Cognitive Neuroscience, Clinical Psychology, Education, Health Informatics and Radiology, Nuclear Medicine and Imaging, having authored 15 papers that have together received 364 indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (7 papers), Family and Disability Support Research (7 papers), Child Development and Digital Technology (5 papers), Artificial Intelligence in Healthcare and Education (3 papers), COVID-19 diagnosis using AI (3 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Electronic Health Records Systems (1 paper) and Behavioral and Psychological Studies (1 paper). The work is most often cited by research in Health Informatics (27 citations), Cognitive Neuroscience (203 citations), Clinical Psychology (170 citations), Safety Research (37 citations) and Developmental and Educational Psychology (54 citations). Neysa Petrina has collaborated with scholars based in Australia and United Kingdom. Frequent co-authors include Mark Carter, Jennifer Stephenson, Simon Poon, David Hua, Jin‐Gun Cho, Naomi Sweller, Noel Young, Angus Ritchie, Melissa Baysari and Phil Reed. Their work appears in journals such as International Journal of Medical Informatics, Journal of Autism and Developmental Disorders, Artificial Intelligence in Medicine, Education and training in autism and developmental disabilities and Research in Developmental Disabilities.
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.