Danielle C. Mathersul
- Cognitive Neuroscience top 5%
- Experimental and Cognitive Psychology top 5%
- Clinical Psychology top 5%
- Psychiatry and Mental health top 5%
- Developmental and Educational Psychology top 10%
- Co-authors
- Leanne M. WilliamsJacqueline A. RushbySkye McDonaldPatrick HopkinsonAndrew H. KempRaquel E. GurEvian GordonRuben C. Gur
- Topics
- Autism Spectrum Disorder Research (7 papers)Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (6 papers)Psychosomatic Disorders and Their Treatments (6 papers)
- Cited by
- Cognitive NeuroscienceExperimental and Cognitive PsychologyNeuropsychology and Physiological Psychology
- Partner nations
- United StatesAustraliaBrazil
In The Last Decade
Danielle C. Mathersul
29 papers receiving 881 citations
Peers
Comparison fields: 5 of 83
- Cognitive Neuroscience 547
- Experimental and Cognitive Psychology 295
- Clinical Psychology 266
- Psychiatry and Mental health 197
- Developmental and Educational Psychology 117
Countries citing papers authored by Danielle C. Mathersul
This map shows the geographic impact of Danielle C. Mathersul'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 Danielle C. Mathersul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle C. Mathersul more than expected).
Fields of papers citing papers by Danielle C. Mathersul
This network shows the impact of papers produced by Danielle C. Mathersul. 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 Danielle C. Mathersul. The network helps show where Danielle C. Mathersul may publish in the future.
Co-authorship network of co-authors of Danielle C. Mathersul
This figure shows the co-authorship network connecting the top 25 collaborators of Danielle C. Mathersul. A scholar is included among the top collaborators of Danielle C. Mathersul 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 Danielle C. Mathersul. Danielle C. Mathersul is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 13 | |
| 5 | 10 | |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 31 | |
| 9 | 7 | |
| 10 | 12 | |
| 11 | 8 | |
| 12 | 17 | |
| 13 | 11 | |
| 14 | 12 | |
| 15 | 35 | |
| 16 | 37 | |
| 17 | 96 | |
| 18 | 25 | |
| 19 | 38 | |
| 20 | 204 |
About Danielle C. Mathersul
Danielle C. Mathersul is a scholar working on Psychiatry and Mental health, Clinical Psychology and Cognitive Neuroscience, having authored 31 papers that have together received 901 indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (7 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (6 papers) and Psychosomatic Disorders and Their Treatments (6 papers). The work is most often cited by research in Cognitive Neuroscience (547 citations), Experimental and Cognitive Psychology (295 citations) and Neuropsychology and Physiological Psychology (23 citations). Danielle C. Mathersul has collaborated with scholars based in United States, Australia and Brazil. Frequent co-authors include Leanne M. Williams, Jacqueline A. Rushby, Skye McDonald, Patrick Hopkinson, Andrew H. Kemp, Raquel E. Gur, Evian Gordon, Ruben C. Gur, Donna M. Palmer and Peter J. Bayley. Their work appears in journals such as Life Sciences, Physiology & Behavior and Schizophrenia Research.
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.