Martin Malcolm

467 citations
7 papers · 268 · h-index 5

Impact in

Papers in

Martin Malcolm

7 papers receiving 252 citations

Peers

Martin Malcolm
Comparison fields: 5 of 66
  • Applied Psychology 83
  • Neuropsychology and Physiological Psychology 15
  • Health Informatics 11
  • Health 53
  • Social Psychology 49
Replace Lean L Kramer with:
Lean L Kramer Netherlands
David Nogueras United Kingdom
Pei‐Shan Yang Taiwan
Dhakshenya Ardhithy Dhinagaran Singapore
Sarah Kritzler Germany
Ittay Mannheim Israel
Julia Krasko Germany
Stefan T. Kamin Germany
Inna Wanyin Lin United States
Anouck Kluytmans Netherlands
Martin Malcolm relative to Lean L Kramer Netherlands Lean L Kramer's profile →
Citations per field
00.5×2×4×5.3×
Lean L Kramer · 1×
Citations per year

Countries citing papers authored by Martin Malcolm

Since Specialization
Citations

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

Fields of papers citing papers by Martin Malcolm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Martin Malcolm, 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 Martin Malcolm Line = papers co-authored together Martin Malcolm links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2021122
2 2019122
3 198212
4 20235
5 20215
6 20211
7
Chatbots to Support Mental Health & Wellbeing: Early Findings from ChatPal Use During COVID-19 Lockdown
20201

About Martin Malcolm

Martin Malcolm is a scholar working on Applied Psychology, Social Psychology, Experimental and Cognitive Psychology, Health and General Health Professions, having authored 7 papers that have together received 268 indexed citations. Recurring topics across this work include Digital Mental Health Interventions (4 papers), Mental Health Research Topics (2 papers), Health disparities and outcomes (1 paper), Mental Health via Writing (1 paper), AI in Service Interactions (1 paper), Management and Marketing Education (1 paper), Accounting Education and Careers (1 paper) and Hospitality and Tourism Education (1 paper). The work is most often cited by research in Applied Psychology (83 citations), Neuropsychology and Physiological Psychology (15 citations), Health Informatics (11 citations), Health (53 citations) and Social Psychology (49 citations). Martin Malcolm has collaborated with scholars based in United Kingdom, Ireland and Finland. Frequent co-authors include Julie Cowie, Helen Frost, Maurice Mulvenna, Catrine Kostenius, Edel Ennis, Alex Vakaloudis, Michael McTear, Anna‐Kaisa Vartiainen, Courtney Potts and Raymond Bond. Their work appears in journals such as European Journal of Marketing, Frontiers in Psychiatry, Systematic Reviews, ACM Transactions on Computing for Healthcare and Ulster University Research Portal (Ulster University).

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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