Robert D. Gibbons
- Clinical Psychology top 2%
- Statistics and Probability top 1%
- Psychiatry and Mental health top 5%
- Social Psychology top 5%
- Experimental and Cognitive Psychology top 5%
- Co-authors
- Donald HedekerBrian R. FlayDon HedekerDavid ClarkWilliam CoryellJan FawcettGerald A. GrantRobert J. Baker
- Topics
- Statistical Methods and Bayesian Inference (4 papers)Advanced Statistical Methods and Models (3 papers)Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (1 paper)
- Journals
- American Journal of PsychiatryJournal of Consulting and Clinical PsychologyBiological Psychiatry
- Partner nations
- United StatesGhanaCanada
In The Last Decade
Robert D. Gibbons
14 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Clinical Psychology 654
- Statistics and Probability 477
- Psychiatry and Mental health 417
- Social Psychology 335
- Experimental and Cognitive Psychology 280
Countries citing papers authored by Robert D. Gibbons
This map shows the geographic impact of Robert D. Gibbons'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 Robert D. Gibbons with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert D. Gibbons more than expected).
Fields of papers citing papers by Robert D. Gibbons
This network shows the impact of papers produced by Robert D. Gibbons. 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 Robert D. Gibbons. The network helps show where Robert D. Gibbons may publish in the future.
Co-authorship network of co-authors of Robert D. Gibbons
This figure shows the co-authorship network connecting the top 25 collaborators of Robert D. Gibbons. A scholar is included among the top collaborators of Robert D. Gibbons 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 Robert D. Gibbons. Robert D. Gibbons is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 27 | |
| 3 | 18 | |
| 4 | 12 | |
| 5 | 341 | |
| 6 | 223 | |
| 7 | A Random-Effects Ordinal Regression Model for Multilevel Analysisbreakdown → | 535 |
| 8 | Some Conceptual and Statistical Issues in Analysis of Longitudinal Psychiatric Databreakdown → | 663 |
| 9 | 78 | |
| 10 | 1 | |
| 11 | 303 | |
| 12 | 59 | |
| 13 | 64 | |
| 14 | 65 |
About Robert D. Gibbons
Robert D. Gibbons is a scholar working on Statistics and Probability, Medical Laboratory Technology and Family Practice, having authored 14 papers that have together received 2.4k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (4 papers), Advanced Statistical Methods and Models (3 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (1 paper). The work is most often cited by research in Statistics and Probability (477 citations), Clinical Psychology (654 citations) and Psychiatry and Mental health (417 citations). Robert D. Gibbons has collaborated with scholars based in United States, Ghana and Canada. Frequent co-authors include Donald Hedeker, Brian R. Flay, Don Hedeker, David Clark, William Coryell, Jan Fawcett, Gerald A. Grant, Robert J. Baker, Daniel R. Weinberger and David G. Daniel. Their work appears in journals such as American Journal of Psychiatry, Journal of Consulting and Clinical Psychology 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.