Kathryn M. Connor
- Clinical Psychology top 0.05%
- Experimental and Cognitive Psychology top 0.2%
- Social Psychology top 0.5%
- General Health Professions top 0.5%
- Psychiatry and Mental health top 0.5%
- Co-authors
- Jonathan DavidsonL. Erik ChurchillRichard H. WeislerEdna B. FoaAndrew SherwoodSandeep VaishnaviSuzanne M. SutherlandLi‐Ching Lee
- Topics
- Posttraumatic Stress Disorder Research (36 papers)Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (28 papers)Treatment of Major Depression (22 papers)
- Partner nations
- United StatesTaiwanUnited Kingdom
In The Last Decade
Kathryn M. Connor
106 papers receiving 14.2k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Clinical Psychology 10.4k
- Experimental and Cognitive Psychology 2.7k
- Social Psychology 2.2k
- General Health Professions 2.1k
- Psychiatry and Mental health 1.8k
Countries citing papers authored by Kathryn M. Connor
This map shows the geographic impact of Kathryn M. Connor'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 Kathryn M. Connor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathryn M. Connor more than expected).
Fields of papers citing papers by Kathryn M. Connor
This network shows the impact of papers produced by Kathryn M. Connor. 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 Kathryn M. Connor. The network helps show where Kathryn M. Connor may publish in the future.
Co-authorship network of co-authors of Kathryn M. Connor
This figure shows the co-authorship network connecting the top 25 collaborators of Kathryn M. Connor. A scholar is included among the top collaborators of Kathryn M. Connor 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 Kathryn M. Connor. Kathryn M. Connor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 36 | |
| 3 | 54 | |
| 4 | 16 | |
| 5 | 450 | |
| 6 | 28 | |
| 7 | Practical assessment and evaluation of mental health problems following a mass disaster. | 40 |
| 8 | 84 | |
| 9 | 60 | |
| 10 | 34 | |
| 11 | 7 | |
| 12 | Development of a new resilience scale: The Connor-Davidson Resilience Scale (CD-RISC)breakdown → | 7757 |
| 13 | 272 | |
| 14 | 33 | |
| 15 | 48 | |
| 16 | 173 | |
| 17 | 44 | |
| 18 | 2 | |
| 19 | 45 | |
| 20 | 29 |
About Kathryn M. Connor
Kathryn M. Connor is a scholar working on Experimental and Cognitive Psychology, Clinical Psychology and Developmental Neuroscience, having authored 108 papers that have together received 15.1k indexed citations. Recurring topics across this work include Posttraumatic Stress Disorder Research (36 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (28 papers) and Treatment of Major Depression (22 papers). The work is most often cited by research in Clinical Psychology (10.4k citations), Applied Psychology (1.4k citations) and Experimental and Cognitive Psychology (2.7k citations). Kathryn M. Connor has collaborated with scholars based in United States, Taiwan and United Kingdom. Frequent co-authors include Jonathan Davidson, L. Erik Churchill, Richard H. Weisler, Edna B. Foa, Andrew Sherwood, Sandeep Vaishnavi, Suzanne M. Sutherland, Li‐Ching Lee, Marian I. Butterfield and David J. Katzelnick. Their work appears in journals such as American Journal of Psychiatry, Neurology 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.