Matthew J. Valente
- Clinical Psychology top 10%
- Statistics and Probability top 2%
- Experimental and Cognitive Psychology top 10%
- Social Psychology top 10%
- General Health Professions top 10%
- Co-authors
- David P. MacKinnonJudith J. M. RijnhartOscar GonzálezHeather L. SmythJos W. R. TwiskMartijn W. HeymansMilica MiočevićSophia J. Lamp
- Topics
- Advanced Causal Inference Techniques (20 papers)Child and Adolescent Psychosocial and Emotional Development (10 papers)Statistical Methods and Bayesian Inference (8 papers)
- Journals
- PLoS ONEJournal of the American Academy of Child & Adolescent PsychiatryJournal of Clinical Epidemiology
- Partner nations
- United StatesNetherlandsAustralia
In The Last Decade
Matthew J. Valente
49 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Clinical Psychology 218
- Statistics and Probability 163
- Experimental and Cognitive Psychology 146
- Social Psychology 129
- General Health Professions 123
Countries citing papers authored by Matthew J. Valente
This map shows the geographic impact of Matthew J. Valente'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 Matthew J. Valente with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew J. Valente more than expected).
Fields of papers citing papers by Matthew J. Valente
This network shows the impact of papers produced by Matthew J. Valente. 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 Matthew J. Valente. The network helps show where Matthew J. Valente may publish in the future.
Co-authorship network of co-authors of Matthew J. Valente
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Valente. A scholar is included among the top collaborators of Matthew J. Valente 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 Matthew J. Valente. Matthew J. Valente is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 8 | |
| 10 | 18 | |
| 11 | 18 | |
| 12 | 7 | |
| 13 | 14 | |
| 14 | 9 | |
| 15 | 105 | |
| 16 | 65 | |
| 17 | 28 | |
| 18 | 15 | |
| 19 | 22 | |
| 20 | 3 |
About Matthew J. Valente
Matthew J. Valente is a scholar working on Statistics and Probability, Applied Psychology and Experimental and Cognitive Psychology, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (20 papers), Child and Adolescent Psychosocial and Emotional Development (10 papers) and Statistical Methods and Bayesian Inference (8 papers). The work is most often cited by research in Statistics and Probability (163 citations), Applied Psychology (79 citations) and Health (95 citations). Matthew J. Valente has collaborated with scholars based in United States, Netherlands and Australia. Frequent co-authors include David P. MacKinnon, Judith J. M. Rijnhart, Oscar González, Heather L. Smyth, Jos W. R. Twisk, Martijn W. Heymans, Milica Miočević, Sophia J. Lamp, William E. Pelham and Gina L. Mazza. Their work appears in journals such as PLoS ONE, Journal of the American Academy of Child & Adolescent Psychiatry and Journal of Clinical Epidemiology.
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.