Heather Newman
Impact in
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- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Mental Health Research Topics
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- Reading and Literacy Development
Papers in
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- Optimization and Search Problems 2
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- Ubiquitin and proteasome pathways 1
- Co-authors
- Thomas D. Borkovec (2 shared papers)Jennifer L. Abel (2 shared papers)Karen K. Wixson (1 shared paper)Sheila W. Valencia (1 shared paper)Min Li (1 shared paper)Benjamin C. Yan (1 shared paper)Martin J. Romeo (1 shared paper)David E. Levin (1 shared paper)
- Journals
- Neurology (2 papers)Journal of Consulting and Clinical Psychology (2 papers)ACM SIGMETRICS Performance Evaluation Review (1 paper)Eukaryotic Cell (1 paper)Reading Research Quarterly (1 paper)
- Partner nations
- United States
In The Last Decade
Heather Newman
9 papers receiving 387 citations
Peers
Comparison fields: 5 of 54
- Experimental and Cognitive Psychology 169
- Developmental and Educational Psychology 122
- Clinical Psychology 166
- Statistics and Probability 28
- Applied Psychology 15
Countries citing papers authored by Heather Newman
This map shows the geographic impact of Heather Newman'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 Heather Newman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heather Newman more than expected).
Fields of papers citing papers by Heather Newman
This network shows the impact of papers produced by Heather Newman. 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 Heather Newman. The network helps show where Heather Newman may publish in the future.
Co-authors
The 25 scholars most cited alongside Heather Newman, 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 | 2010 | 131 | |
| 2 | 1995 | 116 | |
| 3 | 1995 | 100 | |
| 4 | 2005 | 25 | |
| 5 | 2017 | 19 | |
| 6 | 2019 | 15 | |
| 7 | 2017 | 8 | |
| 8 | Interaction Effects of Socioeconomic Status on Emerging Literacy and Literacy Skills among Pre-Kindergarten and Kindergarten Children: A Comparison Study | 2019 | 1 |
| 9 | 2017 | 1 | |
| 10 | 2024 | 0 | |
| 11 | 2025 | 0 | |
| 12 | 2016 | 0 | |
| 13 | 2019 | 0 |
About Heather Newman
Heather Newman is a scholar working on Computer Networks and Communications, Molecular Biology, Clinical Psychology, Physiology and Genetics, having authored 13 papers that have together received 416 indexed citations. Recurring topics across this work include Optimization and Search Problems (2 papers), Child and Adolescent Psychosocial and Emotional Development (2 papers), Reading and Literacy Development (2 papers), Scheduling and Optimization Algorithms (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Ubiquitin and proteasome pathways (1 paper), Galectins and Cancer Biology (1 paper) and Chronic Kidney Disease and Diabetes (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (169 citations), Developmental and Educational Psychology (122 citations), Clinical Psychology (166 citations), Statistics and Probability (28 citations) and Applied Psychology (15 citations). Heather Newman has collaborated with scholars based in United States. Frequent co-authors include Thomas D. Borkovec, Jennifer L. Abel, Karen K. Wixson, Sheila W. Valencia, Min Li, Benjamin C. Yan, Martin J. Romeo, David E. Levin, Peter Orlean and Sarah E. Lewis. Their work appears in journals such as Neurology, Journal of Consulting and Clinical Psychology, ACM SIGMETRICS Performance Evaluation Review, Eukaryotic Cell and Reading Research Quarterly.
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.