Michelle J. Eady

112 total papers · 1.0k total citations
60 papers, 516 citations indexed

About

Michelle J. Eady is a scholar working on Education, Information Systems and Human Factors and Ergonomics. According to data from OpenAlex, Michelle J. Eady has authored 60 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Education, 7 papers in Information Systems and 7 papers in Human Factors and Ergonomics. Recurrent topics in Michelle J. Eady's work include Higher Education and Employability (16 papers), Higher Education Practises and Engagement (12 papers) and Reflective Practices in Education (10 papers). Michelle J. Eady is often cited by papers focused on Higher Education and Employability (16 papers), Higher Education Practises and Engagement (12 papers) and Reflective Practices in Education (10 papers). Michelle J. Eady collaborates with scholars based in Australia, United States and Canada. Michelle J. Eady's co-authors include Stuart Woodcock, Lori Lockyer, Sharon Tindall‐Ford, Bonnie Amelia Dean, Anthony D. Okely, Rachel A. Jones, John Ehrich, Patricia Edelen-Smith, Nicola Simmons and Lauren Scharff and has published in prestigious journals such as SHILAP Revista de lepidopterología, Teaching and Teacher Education and Studies in Higher Education.

In The Last Decade

Michelle J. Eady

50 papers receiving 480 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michelle J. Eady 358 75 64 43 39 60 516
Drew Tiene 286 0.8× 52 0.7× 101 1.6× 68 1.6× 19 0.5× 34 457
Michelle Anderson 311 0.9× 66 0.9× 37 0.6× 66 1.5× 27 0.7× 39 565
Deborah Corrigan 387 1.1× 34 0.5× 117 1.8× 44 1.0× 31 0.8× 48 510
Youmen Chaaban 365 1.0× 67 0.9× 60 0.9× 47 1.1× 37 0.9× 68 524
David D. Williams 351 1.0× 29 0.4× 89 1.4× 70 1.6× 27 0.7× 43 514
Agnes Bosanquet 380 1.1× 31 0.4× 48 0.8× 71 1.7× 34 0.9× 31 591
Susanna Calkins 397 1.1× 41 0.5× 50 0.8× 27 0.6× 15 0.4× 26 517
T. Dary Erwin 289 0.8× 35 0.5× 87 1.4× 32 0.7× 32 0.8× 44 449
Linda la Velle 387 1.1× 131 1.7× 76 1.2× 53 1.2× 21 0.5× 40 520
Mieke Clement 511 1.4× 28 0.4× 87 1.4× 71 1.7× 14 0.4× 32 609

Countries citing papers authored by Michelle J. Eady

Since Specialization
Citations

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

Fields of papers citing papers by Michelle J. Eady

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michelle J. Eady. 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 Michelle J. Eady. The network helps show where Michelle J. Eady may publish in the future.

Co-authorship network of co-authors of Michelle J. Eady

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle J. Eady. A scholar is included among the top collaborators of Michelle J. Eady based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michelle J. Eady. Michelle J. Eady is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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