Thema Monroe‐White

613 total citations · 1 hit paper
35 papers, 322 citations indexed

About

Thema Monroe‐White is a scholar working on Management of Technology and Innovation, Sociology and Political Science and Safety Research. According to data from OpenAlex, Thema Monroe‐White has authored 35 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Management of Technology and Innovation, 6 papers in Sociology and Political Science and 6 papers in Safety Research. Recurrent topics in Thema Monroe‐White's work include Entrepreneurship Studies and Influences (6 papers), Biomedical and Engineering Education (4 papers) and Family Business Performance and Succession (3 papers). Thema Monroe‐White is often cited by papers focused on Entrepreneurship Studies and Influences (6 papers), Biomedical and Engineering Education (4 papers) and Family Business Performance and Succession (3 papers). Thema Monroe‐White collaborates with scholars based in United States, United Kingdom and Canada. Thema Monroe‐White's co-authors include Diego Kozlowski, Cassidy R. Sugimoto, Vincent Larivière, Janelle A. Kerlin, Ebony O. McGee, Dakota Murray, Alexis T. Bell, Thomas Woodson, Angela Shartrand and Yuan Fang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Thema Monroe‐White

30 papers receiving 307 citations

Hit Papers

Intersectional inequalities in science 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Thema Monroe‐White United States 8 77 70 57 51 44 35 322
Katarina Prpić Croatia 8 49 0.6× 61 0.9× 25 0.4× 157 3.1× 23 0.5× 26 340
Elba Mauleón Spain 8 111 1.4× 51 0.7× 34 0.6× 128 2.5× 18 0.4× 15 375
Love Börjeson Sweden 6 175 2.3× 101 1.4× 16 0.3× 62 1.2× 22 0.5× 14 451
Flora F. Tien Taiwan 8 45 0.6× 39 0.6× 30 0.5× 79 1.5× 180 4.1× 9 428
Helen Delaney New Zealand 9 64 0.8× 66 0.9× 31 0.5× 24 0.5× 27 0.6× 16 286
P. van Arensbergen Netherlands 10 97 1.3× 60 0.9× 18 0.3× 167 3.3× 65 1.5× 15 489
Agnete Vabø Norway 12 61 0.8× 65 0.9× 24 0.4× 22 0.4× 191 4.3× 38 444
Kristoffer Rørstad Norway 7 99 1.3× 64 0.9× 18 0.3× 251 4.9× 36 0.8× 20 476
Heather Howard United States 10 12 0.2× 78 1.1× 54 0.9× 162 3.2× 35 0.8× 39 496
Eyal Eckhaus Israel 13 18 0.2× 81 1.2× 25 0.4× 19 0.4× 122 2.8× 50 415

Countries citing papers authored by Thema Monroe‐White

Since Specialization
Citations

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

Fields of papers citing papers by Thema Monroe‐White

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thema Monroe‐White. 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 Thema Monroe‐White. The network helps show where Thema Monroe‐White may publish in the future.

Co-authorship network of co-authors of Thema Monroe‐White

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

All Works

20 of 20 papers shown
1.
Sugimoto, Cassidy R., et al.. (2025). Laissez-Faire Harms: Algorithmic Biases in Generative Language Models (Extended Abstract). Proceedings of the AAAI/ACM Conference on AI Ethics and Society. 8(3). 2373–2374.
2.
McGee, Ebony O., et al.. (2025). Blackwomen in STEM entrepreneurship: networking toward an equitable future. International Journal of Gender and Entrepreneurship.
3.
Kozlowski, Diego, Thema Monroe‐White, Vincent Larivière, & Cassidy R. Sugimoto. (2024). The Howard‐Harvard effect: Institutional reproduction of intersectional inequalities. Journal of the Association for Information Science and Technology. 75(8). 869–882. 3 indexed citations
4.
McGee, Ebony O., et al.. (2024). Interrogating the Relationship between Racial Activism and Academic Career Interest among STEM Doctoral Students. American Journal of Education. 130(2). 177–206.
5.
Monroe‐White, Thema, et al.. (2023). Establishing a Data Science for Good Ecosystem: The Case of ATLytiCS. 10(1). 1–19. 1 indexed citations
6.
Monroe‐White, Thema & Jesse D. Lecy. (2022). The Wells-Du Bois Protocol for Machine Learning Bias: Building Critical Quantitative Foundations for Third Sector Scholarship. VOLUNTAS International Journal of Voluntary and Nonprofit Organizations. 34(1). 170–184. 4 indexed citations
7.
Kozlowski, Diego, Dakota Murray, Alexis T. Bell, et al.. (2022). Avoiding bias when inferring race using name-based approaches. PLoS ONE. 17(3). e0264270–e0264270. 22 indexed citations
8.
Monroe‐White, Thema. (2022). Emancipating data science for Black and Indigenous students via liberatory datasets and curricula. SHILAP Revista de lepidopterología. 46(4). 1 indexed citations
9.
Monroe‐White, Thema & Ebony O. McGee. (2022). Impact of COVID-19 on the Career Trajectories of Black, Indigenous, and Latinx IT Graduate Students and Professionals. Journal of the Association for Information Systems. 9(2). 60–71. 2 indexed citations
10.
Kozlowski, Diego, Vincent Larivière, Cassidy R. Sugimoto, & Thema Monroe‐White. (2022). Intersectional inequalities in science. Proceedings of the National Academy of Sciences. 119(2). 153 indexed citations breakdown →
11.
Monroe‐White, Thema. (2021). Emancipatory Data Science. 23–30. 12 indexed citations
12.
Monroe‐White, Thema, et al.. (2020). Collective Impact in Action: Implementation and Evaluation of a Multi-Institutional Network of Change Makers.. AEE Journal. 1 indexed citations
13.
Monroe‐White, Thema, et al.. (2020). Inclusive Innovation in Technology Entrepreneurship: What Is It and How Can We Study It?. Academy of Management Proceedings. 2020(1). 12736–12736. 1 indexed citations
14.
Monroe‐White, Thema, et al.. (2018). Social Enterprise Innovation: A Quantitative Analysis of Global Patterns. VOLUNTAS International Journal of Voluntary and Nonprofit Organizations. 29(3). 496–510. 21 indexed citations
15.
McKenna, Ann, et al.. (2018). The entrepreneurial mindset: Using the questions of what, why, and how as an organizing framework. AEE Journal. 7(1). 5 indexed citations
16.
Monroe‐White, Thema, et al.. (2018). An updated quantitative analysis of Kerlin’s macro-institutional social enterprise framework. Social enterprise journal. 15(1). 111–130. 10 indexed citations
18.
Monroe‐White, Thema, et al.. (2015). A quantitative critique of Kerlin’s macro-institutional social enterprise framework. Social enterprise journal. 11(2). 178–201. 15 indexed citations
19.
Besterfield‐Sacre, Mary, et al.. (2015). Landscape analysis as a tool in the curricular change process. 1–7. 5 indexed citations
20.
Monroe‐White, Thema, et al.. (2015). Integrating Entrepreneurship into Capstone Design: An Exploration of Faculty Perceptions and Practices. Papers on Engineering Education Repository (American Society for Engineering Education). 26.990.1–26.990.30. 5 indexed citations

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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