Daniel Leightley

58 papers receiving 896 citations

Daniel Leightley's Hit Papers

Digital health tools for the passive monitoring of depression: a systematic review of methods 2022 · 119 citations
1190+1+2Years since publication255075100

Peers

Daniel Leightley
Comparison fields: 5 of 90
  • Applied Psychology 191
  • Physical Therapy, Sports Therapy and Rehabilitation 59
  • Clinical Psychology 200
  • Experimental and Cognitive Psychology 121
  • Rehabilitation 50
Replace Niranjan Bidargaddi with:
Niranjan Bidargaddi Australia
António Marques Portugal
Anna Puig‐Ribera Spain
Jong‐Long Guo Taiwan
Lorraine J. Phillips United States
Eva-Maria Meßner Germany
Daphne Sze Ki Cheung Hong Kong
Peter Kuhar United States
Mathew J. Gregoski United States
Alessandra Grassi Italy
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Citations per year

Countries citing papers authored by Daniel Leightley

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Leightley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Leightley, 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 Leightley Line = papers co-authored together Daniel Leightley links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Digital health tools for the passive monitoring of depression: a systematic review of methods
Hit paper breakdown →
2022119
2 201956
3 201852
4 201651
5 201942
6 201839
7 202038
8 201535
9 202132
10 201332
11 201931
12 201529
13 201927
14 201623
15 202221
16 201418
17 202016
18 202216
19 202115
20 202015

About Daniel Leightley

Daniel Leightley is a scholar working on Clinical Psychology, Applied Psychology, General Health Professions, Epidemiology and Experimental and Cognitive Psychology, having authored 64 papers that have together received 912 indexed citations. Recurring topics across this work include Digital Mental Health Interventions (13 papers), Substance Abuse Treatment and Outcomes (7 papers), Human Pose and Action Recognition (6 papers), Mental Health Research Topics (6 papers), Mobile Health and mHealth Applications (5 papers), COVID-19 and Mental Health (5 papers), Balance, Gait, and Falls Prevention (5 papers) and Posttraumatic Stress Disorder Research (5 papers). The work is most often cited by research in Applied Psychology (191 citations), Physical Therapy, Sports Therapy and Rehabilitation (59 citations), Clinical Psychology (200 citations), Experimental and Cognitive Psychology (121 citations) and Rehabilitation (50 citations). Daniel Leightley has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Nicola T. Fear, Moi Hoon Yap, Jamie S. McPhee, Alice Wickersham, Victoria Williamson, John Darby, Matthew Hotopf, Laura Goodwin, Roberto J. Rona and Carolin Oetzmann. Their work appears in journals such as JMIR mhealth and uhealth, npj Digital Medicine, Frontiers in Psychiatry, European journal of psychotraumatology and BMJ Open.

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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