David J. DeBrota

1.3k total citations
26 papers, 948 citations indexed

About

David J. DeBrota is a scholar working on Pharmacology, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, David J. DeBrota has authored 26 papers receiving a total of 948 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pharmacology, 7 papers in Cognitive Neuroscience and 7 papers in Experimental and Cognitive Psychology. Recurrent topics in David J. DeBrota's work include Treatment of Major Depression (11 papers), Mental Health Research Topics (7 papers) and Statistical Methods and Bayesian Inference (4 papers). David J. DeBrota is often cited by papers focused on Treatment of Major Depression (11 papers), Mental Health Research Topics (7 papers) and Statistical Methods and Bayesian Inference (4 papers). David J. DeBrota collaborates with scholars based in United States, Australia and Canada. David J. DeBrota's co-authors include William Z. Potter, Mark A. Demitrack, John M. Herrera, Douglas E. Faries, Robert S. Dittus, Craig Mallinckrodt, Gary D. Tollefson, Geert Molenberghs, Raymond J. Carroll and T.M. Sanger and has published in prestigious journals such as Management Science, Biological Psychiatry and Journal of Computational Physics.

In The Last Decade

David J. DeBrota

26 papers receiving 896 citations

Peers

David J. DeBrota
Comparison fields: 5 of 123
  • Pharmacology 324
  • Experimental and Cognitive Psychology 230
  • Psychiatry and Mental health 217
  • Cognitive Neuroscience 210
  • Statistics and Probability 113
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Hua Jin China
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Kazushi Maruo Japan View profile →
Citations per field, relative to David J. DeBrota
David J. DeBrota · 1×
Citations per year, relative to David J. DeBrota
David J. DeBrota · 1×

Countries citing papers authored by David J. DeBrota

Since Specialization
Citations

This map shows the geographic impact of David J. DeBrota'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 J. DeBrota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. DeBrota more than expected).

Fields of papers citing papers by David J. DeBrota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. DeBrota. 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 J. DeBrota. The network helps show where David J. DeBrota may publish in the future.

Co-authorship network of co-authors of David J. DeBrota

This figure shows the co-authorship network connecting the top 25 collaborators of David J. DeBrota. A scholar is included among the top collaborators of David J. DeBrota 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 J. DeBrota. David J. DeBrota is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 31
3 53
4 25
5 10
6 18
7
Anchoring perceptions of clinical change on accurate recollection of the past: memory enhanced retrospective evaluation of treatment (MERET).
7
8 19
9 25
10 40
11 20
12 48
13 188
14 200
15 46
16
Comparison of Interactive Voice Response SF-36 to Self-Administered SF-36 and Personal Interview via Telephone SF-36.
2
17 3
18 2
19 50
20 23

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.

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