Greg Maciejewski

8 papers receiving 338 citations

Greg Maciejewski's Hit Papers

Changes in Diet, Sleep, and Physical Activity Are Associated With Differences in Negative Mood During COVID-19 Lockdown 2020 · 251 citations
2510+2+4Years since publication50100150200250

Peers

Greg Maciejewski
Comparison fields: 5 of 72
  • Clinical Psychology 207
  • Applied Psychology 32
  • Experimental and Cognitive Psychology 67
  • Health 39
  • Social Psychology 88
Replace Mireia Félez-Nóbrega with:
Mireia Félez-Nóbrega Spain
Marcos López-Flores Spain
Yiming Liang China
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Stéphanie Bourion-Bédès France
Liuyue Huang China
Emma Nolan United Kingdom
Aline K. Szenczy United States
Paul B. Ingram United States
Oleg Skugarevsky Belarus
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Citations per field
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Citations per year

Countries citing papers authored by Greg Maciejewski

Since Specialization
Citations

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

Fields of papers citing papers by Greg Maciejewski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Greg Maciejewski, 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 Greg Maciejewski Line = papers co-authored together Greg Maciejewski links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Changes in Diet, Sleep, and Physical Activity Are Associated With Differences in Negative Mood During COVID-19 Lockdown
Hit paper breakdown →
2020251
2 202149
3 201918
4 20229
5 20207
6 20166
7 20166
8 20221
9
A Literature Review Looking at Graduate Employability Skills (GESs): GES App Report 1: Review of the GES literature
20200

About Greg Maciejewski

Greg Maciejewski is a scholar working on Social Psychology, Experimental and Cognitive Psychology, Clinical Psychology, Artificial Intelligence and Developmental and Educational Psychology, having authored 9 papers that have together received 347 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (3 papers), Psychological Well-being and Life Satisfaction (3 papers), COVID-19 and Mental Health (3 papers), Language, Metaphor, and Cognition (2 papers), Second Language Acquisition and Learning (2 papers), Health disparities and outcomes (2 papers), Psychological and Temporal Perspectives Research (1 paper) and Reading and Literacy Development (1 paper). The work is most often cited by research in Clinical Psychology (207 citations), Applied Psychology (32 citations), Experimental and Cognitive Psychology (67 citations), Health (39 citations) and Social Psychology (88 citations). Greg Maciejewski has collaborated with scholars based in United Kingdom, Japan and Poland. Frequent co-authors include Christopher J. Hand, Joanne Ingram, Ekaterini Klepousniotou, Mark Mon‐Williams, Jennifer M. Rodd, Graham G. Scott, Sobah Abbas Petersen, Panagiotis Tsiotakis, Athanassios Jimoyiannis and Amanda Simpson. Their work appears in journals such as PLoS ONE, Frontiers in Psychology, Journal of Experimental Psychology Learning Memory and Cognition, Language Cognition and Neuroscience and Applied Cognitive Psychology.

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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