Autumn Kujawa
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- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes 61
- Mental Health Research Topics 11
- Clinical Psychology top 0.5%
- Child and Adolescent Psychosocial and Emotional Development 73
- Cognitive Neuroscience top 1%
- Neural and Behavioral Psychology Studies 48
- Functional Brain Connectivity Studies 17
- Behavioral Neuroscience top 1%
- Stress Responses and Cortisol 13
- Applied Psychology top 2%
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- Attention Deficit Hyperactivity Disorder 20
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- Maternal Mental Health During Pregnancy and Postpartum 16
- Co-authors
- Daniel N. KleinGreg HajcakSamantha PeggK. Luan PhanDana C. TorpeyKate D. FitzgeraldChristopher S. MonkEllen M. Kessel
- Journals
- SHILAP Revista de lepidopterología (2 papers)Child Development (2 papers)Journal of Consulting and Clinical Psychology (1 paper)
- Partner nations
- United StatesCanadaHungary
In The Last Decade
Autumn Kujawa
126 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 108
- Experimental and Cognitive Psychology 2.0k
- Clinical Psychology 2.1k
- Cognitive Neuroscience 1.9k
- Behavioral Neuroscience 325
- Applied Psychology 232
Countries citing papers authored by Autumn Kujawa
This map shows the geographic impact of Autumn Kujawa'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 Autumn Kujawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Autumn Kujawa more than expected).
Fields of papers citing papers by Autumn Kujawa
This network shows the impact of papers produced by Autumn Kujawa. 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 Autumn Kujawa. The network helps show where Autumn Kujawa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Autumn Kujawa, 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 | 2025 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 2 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 4 | |
| 13 | 2023 | 15 | |
| 14 | 2022 | 6 | |
| 15 | 2022 | 9 | |
| 16 | 2022 | 17 | |
| 17 | 2022 | 17 | |
| 18 | 2021 | 14 | |
| 19 | 2018 | 29 | |
| 20 | 2018 | 5 |
About Autumn Kujawa
Autumn Kujawa is a scholar working on Experimental and Cognitive Psychology, Clinical Psychology and Behavioral Neuroscience, having authored 133 papers that have together received 4.0k indexed citations. Recurring topics across this work include Child and Adolescent Psychosocial and Emotional Development (73 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (61 papers), Neural and Behavioral Psychology Studies (48 papers), Attention Deficit Hyperactivity Disorder (20 papers), Functional Brain Connectivity Studies (17 papers), Maternal Mental Health During Pregnancy and Postpartum (16 papers), Stress Responses and Cortisol (13 papers) and Mental Health Research Topics (11 papers). The work is most often cited by research in Experimental and Cognitive Psychology (2.0k citations), Clinical Psychology (2.1k citations) and Cognitive Neuroscience (1.9k citations). Autumn Kujawa has collaborated with scholars based in United States, Canada and Hungary. Frequent co-authors include Daniel N. Klein, Greg Hajcak, Samantha Pegg, K. Luan Phan, Dana C. Torpey, Kate D. Fitzgerald, Christopher S. Monk, Ellen M. Kessel, Lindsay Dickey and Katie L. Burkhouse. Their work appears in journals such as SHILAP Revista de lepidopterología, Child Development and Journal of Consulting and Clinical Psychology.
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.