Wendy Chan

539 citations
26 papers · 343 · h-index 10

Impact in

Papers in

    • Advanced Causal Inference Techniques 11
    • Statistical Methods and Bayesian Inference 9
    • Statistical Methods and Inference 4
    • School Choice and Performance 7
    • Innovative Teaching Methodologies in Social Sciences 2
    • Teacher Education and Leadership Studies 2
    • Global Education and Multiculturalism 2

Wendy Chan

23 papers receiving 314 citations

Peers

Wendy Chan
Comparison fields: 5 of 95
  • Statistics and Probability 60
  • Health Information Management 24
  • Health 29
  • Gender Studies 25
  • Sociology and Political Science 111
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Citations per field
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Citations per year

Countries citing papers authored by Wendy Chan

Since Specialization
Citations

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

Fields of papers citing papers by Wendy Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Wendy Chan, 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 Wendy Chan Line = papers co-authored together Wendy Chan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201693
2 200269
3
Increasing the success of physician order entry through human factors engineering.
200235
4 200121
5 202018
6 201716
7 201615
8 199513
9 202212
10
Communities of practice - quality improvement or research in general practice.
201110
11 20237
12 20006
13 20175
14 20245
15 20205
16 20193
17 20223
18 20182
19 20231
20 20241

About Wendy Chan

Wendy Chan is a scholar working on Statistics and Probability, Education, Sociology and Political Science, Health and Political Science and International Relations, having authored 26 papers that have together received 343 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (11 papers), Statistical Methods and Bayesian Inference (9 papers), School Choice and Performance (7 papers), Statistical Methods and Inference (4 papers), Educator Training and Historical Pedagogy (4 papers), Innovative Teaching Methodologies in Social Sciences (2 papers), Teacher Education and Leadership Studies (2 papers) and Global Education and Multiculturalism (2 papers). The work is most often cited by research in Statistics and Probability (60 citations), Health Information Management (24 citations), Health (29 citations), Gender Studies (25 citations) and Sociology and Political Science (111 citations). Wendy Chan has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Larry V. Hedges, Elizabeth Tipton, Kelly Hallberg, Peter M. Steiner, Mi‐Ok Kim, Nikita Joshi, Andrew Grock, Avi Kaplan, Adam R. Aluisio and Delphine Huang. Their work appears in journals such as Journal of Research on Educational Effectiveness, The Journal of Experimental Education, Theory & Research in Social Education, Journal of Educational and Behavioral Statistics and Psychological Methods.

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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