Madeleine Pownall

1.5k citations
50 papers · 365 indexed · 1 hit paper · h-index 9

Madeleine Pownall

43 papers receiving 351 citations

Hit Papers

Reflexivity in quantitative research: A rationale and beg...13020232026202420254080120

Peers

Madeleine Pownall
Comparison fields: 5 of 100
  • General Psychology 10
  • Statistics, Probability and Uncertainty 40
  • Medical Terminology 1
  • Human Factors and Ergonomics 9
  • Education 87
Replace Alexandra Kuvaeva with:
Alexandra Kuvaeva United States
Megan Tones Australia
Robert Johns United Kingdom
Lynn H. Doyle United States
Leslie A. Miller United States
Frances Rock United Kingdom
Cally Guerin Australia
Stephen K. Rice United States
Jeffrey Grigg United States
Roxanne M. Laczo United States
Madeleine Pownall relative to Alexandra Kuvaeva United States Alexandra Kuvaeva's profile →
Citations per field
00.5×4.5×
Alexandra Kuvaeva · 1×
Citations per year

Countries citing papers authored by Madeleine Pownall

Since Specialization
Citations

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

Fields of papers citing papers by Madeleine Pownall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20241
4 20242
5 20240
6
Reflexivity in quantitative research: A rationale and beginner's guidebreakdown →
2023130
7 20231
8 20234
9 20231
10 20234
11 20237
12 202315
13 20224
14 20224
15 202215
16 202125
17 20214
18 202128
19 20216
20
"A More Personal Way to Learn During Such an Isolating Time": The Value of Live Lectures in Online Teaching. A Practice Report
20211

About Madeleine Pownall

Madeleine Pownall is a scholar working on General Psychology, Statistics, Probability and Uncertainty and Gender Studies, having authored 50 papers that have together received 365 indexed citations. Recurring topics across this work include Evaluation of Teaching Practices (8 papers), Meta-analysis and systematic reviews (7 papers), COVID-19 and Mental Health (5 papers), Higher Education Practises and Engagement (4 papers), Data Analysis and Archiving (4 papers), Academic and Historical Perspectives in Psychology (4 papers), Online Learning and Analytics (3 papers) and Online and Blended Learning (3 papers). The work is most often cited by research in General Psychology (10 citations), Statistics, Probability and Uncertainty (40 citations) and Medical Terminology (1 citation). Madeleine Pownall has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Michelle Jamieson, Gisela Govaart, Richard Harris, Pam Blundell-Birtill, Catherine V. Talbot, Elizabeth L. Travis, Jaclyn A. Siegel, Mark Conner, Anna Henschel and Laura Ashley. Their work appears in journals such as SHILAP Revista de lepidopterología, Psycho-Oncology and Sex Roles.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026