Len Dalgleish

992 citations
27 papers · 794 · h-index 14

Impact in

Papers in

Len Dalgleish

24 papers receiving 731 citations

Peers

Len Dalgleish
Comparison fields: 5 of 102
  • Public Administration 101
  • Applied Psychology 81
  • General Decision Sciences 31
  • Clinical Psychology 312
  • Safety Research 105
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Alec Grant United Kingdom
Mary Bradford Ivey United States
Beth E. Haverkamp Canada
Mark A. Hubble United States
Patricia A. Zapf United States
David W. Springer United States
Peer van der Helm Netherlands
Julie Kos Australia
Nancy McWilliams United States
Meir Teichman Israel
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Citations per field
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Citations per year

Countries citing papers authored by Len Dalgleish

Since Specialization
Citations

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

Fields of papers citing papers by Len Dalgleish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013179
2 2005156
3 200886
4 201349
5 200743
6 198243
7 200742
8 200533
9 201230
10 198422
11 200419
12 197418
13 198617
14 198616
15 197713
16 19749
17 20104
18 20134
19 20083
20 20202

About Len Dalgleish

Len Dalgleish is a scholar working on Clinical Psychology, Experimental and Cognitive Psychology, Public Administration, Social Psychology and Cognitive Neuroscience, having authored 27 papers that have together received 794 indexed citations. Recurring topics across this work include Social Work Education and Practice (4 papers), Child Abuse and Trauma (3 papers), Child and Adolescent Psychosocial and Emotional Development (3 papers), Mental Health Research Topics (3 papers), Counseling, Therapy, and Family Dynamics (3 papers), Behavioral Health and Interventions (2 papers), Memory Processes and Influences (2 papers) and Law, Economics, and Judicial Systems (2 papers). The work is most often cited by research in Public Administration (101 citations), Applied Psychology (81 citations), General Decision Sciences (31 citations), Clinical Psychology (312 citations) and Safety Research (105 citations). Len Dalgleish has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Luke D. Smillie, Chris J. Jackson, John Fluke, Donald J. Baumann, Ian O’Connor, Steven Schwartz, Ray Pike, Catherine A. Niven, Helen Cheyne and William L. Coventry. Their work appears in journals such as Nursing Research, The British Journal of Social Work, Memory & Cognition, Journal of Experimental Psychology Learning Memory and Cognition and BMC Medical Informatics and Decision Making.

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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