Maisha T. Winn

36 total papers · 1.6k total citations
24 papers, 957 citations indexed

About

Maisha T. Winn is a scholar working on Sociology and Political Science, Education and General Health Professions. According to data from OpenAlex, Maisha T. Winn has authored 24 papers receiving a total of 957 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Sociology and Political Science, 18 papers in Education and 3 papers in General Health Professions. Recurrent topics in Maisha T. Winn's work include Education Discipline and Inequality (12 papers), Critical Race Theory in Education (10 papers) and Educator Training and Historical Pedagogy (7 papers). Maisha T. Winn is often cited by papers focused on Education Discipline and Inequality (12 papers), Critical Race Theory in Education (10 papers) and Educator Training and Historical Pedagogy (7 papers). Maisha T. Winn collaborates with scholars based in United States and Russia. Maisha T. Winn's co-authors include Django Paris, Nadia Behizadeh, Subini Ancy Annamma, Erica R. Meiners, Mariana Souto‐Manning and Gholnecsar E. Muhammad and has published in prestigious journals such as The Annals of the American Academy of Political and Social Science, Review of Research in Education and Theory Into Practice.

In The Last Decade

Maisha T. Winn

24 papers receiving 837 citations

Hit Papers

Humanizing Research: Deco... 2014 2026 2018 2022 2014 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Maisha T. Winn 612 589 159 112 99 24 957
Luís Urrieta 660 1.1× 785 1.3× 108 0.7× 233 2.1× 61 0.6× 44 1.2k
Douglas E. Foley 614 1.0× 519 0.9× 73 0.5× 118 1.1× 59 0.6× 32 1.1k
Joanne Tompkins 414 0.7× 494 0.8× 155 1.0× 109 1.0× 44 0.4× 55 1.1k
Donna Deyhle 540 0.9× 765 1.3× 55 0.3× 97 0.9× 79 0.8× 26 1.2k
Jabari Mahiri 313 0.5× 587 1.0× 232 1.5× 127 1.1× 57 0.6× 30 932
William Pérez 649 1.1× 488 0.8× 52 0.3× 118 1.1× 90 0.9× 22 1.2k
Beth Blue Swadener 494 0.8× 730 1.2× 57 0.4× 60 0.5× 119 1.2× 53 1.1k
Janice Huber 391 0.6× 733 1.2× 96 0.6× 40 0.4× 45 0.5× 34 1.1k
Nicole Mirra 567 0.9× 544 0.9× 298 1.9× 41 0.4× 212 2.1× 34 987
Stacey J. Lee 682 1.1× 628 1.1× 43 0.3× 150 1.3× 80 0.8× 27 1.0k

Countries citing papers authored by Maisha T. Winn

Since Specialization
Citations

This map shows the geographic impact of Maisha T. Winn'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 Maisha T. Winn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maisha T. Winn more than expected).

Fields of papers citing papers by Maisha T. Winn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maisha T. Winn. 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 Maisha T. Winn. The network helps show where Maisha T. Winn may publish in the future.

Co-authorship network of co-authors of Maisha T. Winn

This figure shows the co-authorship network connecting the top 25 collaborators of Maisha T. Winn. A scholar is included among the top collaborators of Maisha T. Winn 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 Maisha T. Winn. Maisha T. Winn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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