Jeffrey M. Greeson
- Clinical Psychology top 0.2%
- Experimental and Cognitive Psychology top 0.5%
- Endocrine and Autonomic Systems top 0.5%
- Social Psychology top 1%
- Cognitive Neuroscience top 2%
- Co-authors
- George C. BrainardGreg FeldmanDiane ReibelSteven A RosenzweigJohn P. HanifinBrenda ByrneGena GlickmanMark D. Rollag
- Topics
- Mindfulness and Compassion Interventions (36 papers)Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (13 papers)COVID-19 and Mental Health (10 papers)
- Journals
- Journal of NeuroscienceSHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Jeffrey M. Greeson
58 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Clinical Psychology 3.6k
- Experimental and Cognitive Psychology 1.8k
- Endocrine and Autonomic Systems 1.4k
- Social Psychology 1.2k
- Cognitive Neuroscience 794
Countries citing papers authored by Jeffrey M. Greeson
This map shows the geographic impact of Jeffrey M. Greeson'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 Jeffrey M. Greeson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey M. Greeson more than expected).
Fields of papers citing papers by Jeffrey M. Greeson
This network shows the impact of papers produced by Jeffrey M. Greeson. 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 Jeffrey M. Greeson. The network helps show where Jeffrey M. Greeson may publish in the future.
Co-authorship network of co-authors of Jeffrey M. Greeson
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey M. Greeson. A scholar is included among the top collaborators of Jeffrey M. Greeson 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 Jeffrey M. Greeson. Jeffrey M. Greeson 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 | 11 | |
| 3 | 25 | |
| 4 | 27 | |
| 5 | 37 | |
| 6 | 52 | |
| 7 | 43 | |
| 8 | 76 | |
| 9 | 68 | |
| 10 | 43 | |
| 11 | 145 | |
| 12 | 35 | |
| 13 | 59 | |
| 14 | 120 | |
| 15 | 355 | |
| 16 | 36 | |
| 17 | 33 | |
| 18 | 392 | |
| 19 | 298 | |
| 20 | 8 |
About Jeffrey M. Greeson
Jeffrey M. Greeson is a scholar working on Clinical Psychology, Experimental and Cognitive Psychology and Behavioral Neuroscience, having authored 60 papers that have together received 7.1k indexed citations. Recurring topics across this work include Mindfulness and Compassion Interventions (36 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (13 papers) and COVID-19 and Mental Health (10 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.4k citations), Clinical Psychology (3.6k citations) and Experimental and Cognitive Psychology (1.8k citations). Jeffrey M. Greeson has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include George C. Brainard, Greg Feldman, Diane Reibel, Steven A Rosenzweig, John P. Hanifin, Brenda Byrne, Gena Glickman, Mark D. Rollag, Edward W. Gerner and Adele M. Hayes. Their work appears in journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.
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.