Mathew Ling

41 papers receiving 923 citations

Hit Papers

The prevalence of probable mental health disorders among hospital healthcare workers during COVID-19: A systematic review and meta-analysis 2023 · 60 citations
600+1+2Years since publication204060

Peers

Mathew Ling
Comparison fields: 5 of 111
  • Applied Psychology 91
  • Health 132
  • Clinical Psychology 273
  • Management, Monitoring, Policy and Law 136
  • Marketing 77
Replace Mattis Geiger with:
Mattis Geiger Germany
Claudia Sassenrath Germany
Kristina Wilson United States
Anna Klas Australia
Justin Hepler United States
Melanie B. Tannenbaum United States
Kristel M. Gallagher United States
Thémis Apostolidis France
Robert C. Dempsey United Kingdom
Mathew Ling relative to Mattis Geiger Germany Mattis Geiger's profile →
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Countries citing papers authored by Mathew Ling

Since Specialization
Citations

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

Fields of papers citing papers by Mathew Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019152
2 2019144
3 201767
4
The prevalence of probable mental health disorders among hospital healthcare workers during COVID-19: A systematic review and meta-analysis
Hit paper breakdown →
202360
5 202152
6 200049
7 202144
8 202043
9 202234
10 202131
11 201928
12 202123
13 202119
14 202119
15 201918
16 201918
17 201914
18 202114
19 202412
20 202211

About Mathew Ling

Mathew Ling is a scholar working on Clinical Psychology, Sociology and Political Science, Experimental and Cognitive Psychology, Psychiatry and Mental health and Applied Psychology, having authored 43 papers that have together received 948 indexed citations. Recurring topics across this work include Attention Deficit Hyperactivity Disorder (7 papers), Behavioral Health and Interventions (6 papers), Misinformation and Its Impacts (6 papers), Climate Change Communication and Perception (6 papers), Environmental Education and Sustainability (5 papers), Child and Adolescent Psychosocial and Emotional Development (4 papers), Vaccine Coverage and Hesitancy (4 papers) and Media Influence and Health (4 papers). The work is most often cited by research in Applied Psychology (91 citations), Health (132 citations), Clinical Psychology (273 citations), Management, Monitoring, Policy and Law (136 citations) and Marketing (77 citations). Mathew Ling has collaborated with scholars based in Australia, United Kingdom and New Zealand. Frequent co-authors include Emily Kothe, Barbara Mullan, Anna Klas, Madelon North, Jade Sheen, Emma Sciberras, Elizaveta Novoradovskaya, Matt N Williams, John R. Kerr and Mathew D. Marques. Their work appears in journals such as Psychiatry Research, Journal of Attention Disorders, Body Image, Health Psychology Review and Climatic Change.

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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