David Pagliaccio
- Clinical Psychology top 1%
- Cognitive Neuroscience top 2%
- Experimental and Cognitive Psychology top 1%
- Psychiatry and Mental health top 2%
- Behavioral Neuroscience top 2%
- Co-authors
- Joan L. LubyDeanna M. BarchKatherine R. LukingAndy C. BeldenDaniel S. PineRandy P. AuerbachMichael P. HarmsRachel Marsh
- Topics
- Functional Brain Connectivity Studies (31 papers)Child and Adolescent Psychosocial and Emotional Development (30 papers)Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (27 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaNeuroImage
- Partner nations
- United StatesUnited KingdomCzechia
In The Last Decade
David Pagliaccio
113 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 119
- Clinical Psychology 1.1k
- Cognitive Neuroscience 966
- Experimental and Cognitive Psychology 734
- Psychiatry and Mental health 516
- Behavioral Neuroscience 296
Countries citing papers authored by David Pagliaccio
This map shows the geographic impact of David Pagliaccio'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 David Pagliaccio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Pagliaccio more than expected).
Fields of papers citing papers by David Pagliaccio
This network shows the impact of papers produced by David Pagliaccio. 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 David Pagliaccio. The network helps show where David Pagliaccio may publish in the future.
Co-authorship network of co-authors of David Pagliaccio
This figure shows the co-authorship network connecting the top 25 collaborators of David Pagliaccio. A scholar is included among the top collaborators of David Pagliaccio 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 David Pagliaccio. David Pagliaccio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 7 | |
| 13 | 7 | |
| 14 | 6 | |
| 15 | 13 | |
| 16 | 37 | |
| 17 | 4 | |
| 18 | 109 | |
| 19 | 27 | |
| 20 | 38 |
About David Pagliaccio
David Pagliaccio is a scholar working on Experimental and Cognitive Psychology, Behavioral Neuroscience and Cognitive Neuroscience, having authored 120 papers that have together received 2.5k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (31 papers), Child and Adolescent Psychosocial and Emotional Development (30 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (27 papers). The work is most often cited by research in Behavioral Neuroscience (296 citations), Experimental and Cognitive Psychology (734 citations) and Clinical Psychology (1.1k citations). David Pagliaccio has collaborated with scholars based in United States, United Kingdom and Czechia. Frequent co-authors include Joan L. Luby, Deanna M. Barch, Katherine R. Luking, Andy C. Belden, Daniel S. Pine, Randy P. Auerbach, Michael P. Harms, Rachel Marsh, Ryan Bogdan and Deanna M. Barch. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and NeuroImage.
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.