Jacqueline A. Clauss
- Clinical Psychology top 5%
- Experimental and Cognitive Psychology top 2%
- Cognitive Neuroscience top 5%
- Social Psychology top 5%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Jennifer Urbano BlackfordSuzanne N. AveryMargaret M. BenningfieldRonald L. CowanDanny G. WinderNeil D. WoodwardUma RaoWalter E. Kaufmann
- Topics
- Functional Brain Connectivity Studies (8 papers)Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (7 papers)Child and Adolescent Psychosocial and Emotional Development (5 papers)
- Partner nations
- United StatesChina
In The Last Decade
Jacqueline A. Clauss
17 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Clinical Psychology 483
- Experimental and Cognitive Psychology 475
- Cognitive Neuroscience 467
- Social Psychology 295
- Cellular and Molecular Neuroscience 179
Countries citing papers authored by Jacqueline A. Clauss
This map shows the geographic impact of Jacqueline A. Clauss'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 Jacqueline A. Clauss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacqueline A. Clauss more than expected).
Fields of papers citing papers by Jacqueline A. Clauss
This network shows the impact of papers produced by Jacqueline A. Clauss. 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 Jacqueline A. Clauss. The network helps show where Jacqueline A. Clauss may publish in the future.
Co-authorship network of co-authors of Jacqueline A. Clauss
This figure shows the co-authorship network connecting the top 25 collaborators of Jacqueline A. Clauss. A scholar is included among the top collaborators of Jacqueline A. Clauss based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jacqueline A. Clauss. Jacqueline A. Clauss is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 7 | |
| 6 | 0 | |
| 7 | 8 | |
| 8 | 15 | |
| 9 | 58 | |
| 10 | 1 | |
| 11 | 23 | |
| 12 | 235 | |
| 13 | 66 | |
| 14 | 37 | |
| 15 | 141 | |
| 16 | 53 | |
| 17 | 31 | |
| 18 | Behavioral Inhibition and Risk for Developing Social Anxiety Disorder: A Meta-Analytic Studybreakdown → | 410 |
| 19 | 21 | |
| 20 | 29 |
About Jacqueline A. Clauss
Jacqueline A. Clauss is a scholar working on Behavioral Neuroscience, Experimental and Cognitive Psychology and Cognitive Neuroscience, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (8 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (7 papers) and Child and Adolescent Psychosocial and Emotional Development (5 papers). The work is most often cited by research in Behavioral Neuroscience (158 citations), Experimental and Cognitive Psychology (475 citations) and Cognitive Neuroscience (467 citations). Jacqueline A. Clauss has collaborated with scholars based in United States and China. Frequent co-authors include Jennifer Urbano Blackford, Suzanne N. Avery, Margaret M. Benningfield, Ronald L. Cowan, Danny G. Winder, Neil D. Woodward, Uma Rao, Walter E. Kaufmann, Michael A. Kraut and Deana Crocetti. Their work appears in journals such as Nature Neuroscience, NeuroImage and Biological Psychiatry.
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.