Steven Espinosa
- Cognitive Neuroscience top 5%
- Autism Spectrum Disorder Research 15
- Occupational Therapy top 5%
- Applied Psychology top 10%
- Digital Mental Health Interventions 1
- Education top 5%
- Child Development and Digital Technology 11
- Human-Computer Interaction top 10%
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- Virology and Viral Diseases 4
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- Infant Health and Development 3
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- Child Nutrition and Feeding Issues 2
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- Family and Disability Support Research 2
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- Technology Use by Older Adults 1
- Co-authors
- Géraldine DawsonKimberly L. H. CarpenterGuillermo SapiroKathleen CampbellHelen L. EggerJordan HashemiJeffrey P. BakerQiang Qiu
- Journals
- npj Digital Medicine (2 papers)IEEE Transactions on Affective Computing (2 papers)Scientific Reports (2 papers)
- Partner nations
- United StatesFranceUruguay
In The Last Decade
Steven Espinosa
15 papers receiving 474 citations
Peers
Comparison fields: 5 of 69
- Cognitive Neuroscience 393
- Occupational Therapy 36
- Applied Psychology 37
- Education 192
- Human-Computer Interaction 27
Countries citing papers authored by Steven Espinosa
This map shows the geographic impact of Steven Espinosa'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 Steven Espinosa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Espinosa more than expected).
Fields of papers citing papers by Steven Espinosa
This network shows the impact of papers produced by Steven Espinosa. 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 Steven Espinosa. The network helps show where Steven Espinosa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Steven Espinosa, 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 | 2024 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 42 | |
| 4 | 2023 | 17 | |
| 5 | 2023 | 8 | |
| 6 | 2022 | 20 | |
| 7 | 2021 | 19 | |
| 8 | 2020 | 44 | |
| 9 | 2020 | 5 | |
| 10 | 2018 | 55 | |
| 11 | 2018 | 75 | |
| 12 | 2018 | 62 | |
| 13 | 2018 | 74 | |
| 14 | 2017 | 46 | |
| 15 | 2015 | 11 |
About Steven Espinosa
Steven Espinosa is a scholar working on Cognitive Neuroscience, Pharmacy and Education, having authored 15 papers that have together received 481 indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (15 papers), Child Development and Digital Technology (11 papers), Virology and Viral Diseases (4 papers), Infant Health and Development (3 papers), Child Nutrition and Feeding Issues (2 papers), Family and Disability Support Research (2 papers), Digital Mental Health Interventions (1 paper) and Technology Use by Older Adults (1 paper). The work is most often cited by research in Cognitive Neuroscience (393 citations), Occupational Therapy (36 citations) and Applied Psychology (37 citations). Steven Espinosa has collaborated with scholars based in United States, France and Uruguay. Frequent co-authors include Géraldine Dawson, Kimberly L. H. Carpenter, Guillermo Sapiro, Kathleen Campbell, Helen L. Egger, Jordan Hashemi, Jeffrey P. Baker, Qiang Qiu, Mariano Tepper and Saritha Vermeer. Their work appears in journals such as npj Digital Medicine, IEEE Transactions on Affective Computing, Scientific Reports, Autism and Nature Medicine.
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.