Peter McPartlan

408 citations
19 papers · 284 · h-index 9

Impact in

Papers in

Peter McPartlan

18 papers receiving 266 citations

Peers

Peter McPartlan
Comparison fields: 5 of 59
  • Computer Science Applications 34
  • Education 172
  • Safety Research 49
  • Experimental and Cognitive Psychology 59
  • Developmental and Educational Psychology 55
Replace Martijn J. M. Leenknecht with:
Martijn J. M. Leenknecht Netherlands
Kirsten Zimbardi Australia
Mike Yough United States
Ruchi Bhanot United States
Marjolein Torenbeek Netherlands
Karen E. Clayton United States
Yasemin Taş Türkiye
Angela W. Webb United States
Silvija Markic Germany
Adena Young-Jones United States
Peter McPartlan relative to Martijn J. M. Leenknecht Netherlands Martijn J. M. Leenknecht's profile →
Citations per field
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Martijn J. M. Leenknecht · 1×
Citations per year

Countries citing papers authored by Peter McPartlan

Since Specialization
Citations

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

Fields of papers citing papers by Peter McPartlan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Peter McPartlan, 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 Peter McPartlan Line = papers co-authored together Peter McPartlan links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201942
2 201940
3 201840
4 202133
5 201830
6 202218
7 202116
8 202112
9 202010
10 20227
11 20207
12 20226
13 20225
14 20225
15 20214
16 20224
17 20223
18 20201
19
Surveying online interaction: Relating college instructor characteristics and perceptions to online instructional practices
20201

About Peter McPartlan

Peter McPartlan is a scholar working on Education, Experimental and Cognitive Psychology, Social Psychology, Developmental and Educational Psychology and Safety Research, having authored 19 papers that have together received 284 indexed citations. Recurring topics across this work include Online and Blended Learning (5 papers), Education, Achievement, and Giftedness (5 papers), Innovative Teaching and Learning Methods (4 papers), Higher Education Research Studies (4 papers), Career Development and Diversity (3 papers), Evaluation of Teaching Practices (3 papers), Online Learning and Analytics (2 papers) and Grit, Self-Efficacy, and Motivation (2 papers). The work is most often cited by research in Computer Science Applications (34 citations), Education (172 citations), Safety Research (49 citations), Experimental and Cognitive Psychology (59 citations) and Developmental and Educational Psychology (55 citations). Peter McPartlan has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Di Xu, Brian K. Sato, Jacquelynne S. Eccles, S. K. Solanki, Justin F. Shaffer, Amanda J. Holton, Teomara Rutherford, Fernando Rodriguez, Qiujie Li and Dustin B. Thoman. Their work appears in journals such as PLoS ONE, BioScience, Scientific Reports, AERA Open and The Internet and Higher Education.

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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