Daniel Bride

774 citations
16 papers · 239 · h-index 8

Impact in

    • Mental Health Research Topics
    • Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
    • Sleep and related disorders
    • Child and Adolescent Psychosocial and Emotional Development
    • Child Abuse and Trauma
    • Suicide and Self-Harm Studies

Papers in

Daniel Bride

12 papers receiving 235 citations

Peers

Daniel Bride
Comparison fields: 5 of 71
  • Experimental and Cognitive Psychology 89
  • Clinical Psychology 108
  • Family Practice 7
  • Health Informatics 4
  • Applied Psychology 15
Replace Inés Magán with:
Inés Magán Spain
Hermioni N. Lokko United States
Elissa McCarthy United States
Regina Studer Switzerland
Gordon Jackson-Koku United Kingdom
Kamonporn Wannarit Thailand
Nicola S. Klein Netherlands
Carter E. Bedford United States
Sophie A. Palitz United States
Luis Carlos Delgado Spain
Daniel Bride relative to Inés Magán Spain Inés Magán's profile →
Citations per field
00.5×1.5×2.3×
Inés Magán · 1×
Citations per year

Countries citing papers authored by Daniel Bride

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Bride

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Bride. 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 Daniel Bride. The network helps show where Daniel Bride may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel Bride, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Bride Line = papers co-authored together Daniel Bride links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201467
2 201836
3 202133
4 201532
5 202031
6 201914
7 20229
8 20247
9 20146
10 20232
11 20191
12 20181
13 20250
14 20230
15 20220
16 20190

About Daniel Bride

Daniel Bride is a scholar working on Health, Toxicology and Mutagenesis, Cardiology and Cardiovascular Medicine, Experimental and Cognitive Psychology, Clinical Psychology and Molecular Biology, having authored 16 papers that have together received 239 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (6 papers), Climate Change and Health Impacts (4 papers), Child and Adolescent Psychosocial and Emotional Development (2 papers), Mental Health Research Topics (2 papers), Alzheimer's disease research and treatments (1 paper), Digital Games and Media (1 paper), Child Abuse and Trauma (1 paper) and Early Childhood Education and Development (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (89 citations), Clinical Psychology (108 citations), Family Practice (7 citations), Health Informatics (4 citations) and Applied Psychology (15 citations). Daniel Bride has collaborated with scholars based in United States. Frequent co-authors include Sheila E. Crowell, Mona Yaptangco, Paula Williams, Matthew R. Cribbet, Brian Baucom, Elizabeth McCauley, Theodore P. Beauchaine, Holly Rau, Yana Suchy and Brian R. Baucom. Their work appears in journals such as Biological Psychology, Stress and Health, Research and Practice in Thrombosis and Haemostasis, Journal of Nuclear Cardiology and American Heart Journal.

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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