Joy Buolamwini

10 total papers · 4.6k total citations
6 papers, 2.1k citations indexed

About

Joy Buolamwini is a scholar working on Safety Research, Information Systems and Management Information Systems. According to data from OpenAlex, Joy Buolamwini has authored 6 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Safety Research, 2 papers in Information Systems and 1 paper in Management Information Systems. Recurrent topics in Joy Buolamwini's work include Ethics and Social Impacts of AI (4 papers), Big Data and Business Intelligence (1 paper) and ICT in Developing Communities (1 paper). Joy Buolamwini is often cited by papers focused on Ethics and Social Impacts of AI (4 papers), Big Data and Business Intelligence (1 paper) and ICT in Developing Communities (1 paper). Joy Buolamwini collaborates with scholars based in United States, Canada and Switzerland. Joy Buolamwini's co-authors include Timnit Gebru, Inioluwa Deborah Raji, Margaret Mitchell, Emily Denton, Joonseok Lee, Tesfaye Teferi, Peter Odermatt, Jonathan D. King, Berhanu Melak and Danielle Vienneau and has published in prestigious journals such as PLoS ONE, Communications of the ACM and arXiv (Cornell University).

In The Last Decade

Joy Buolamwini

6 papers receiving 1.9k citations

Hit Papers

Gender Shades: Intersecti... 2018 2026 2020 2023 2018 2019 500 1000 1.5k

Author Peers

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

Author Last Decade Papers Cites
Joy Buolamwini 766 712 339 288 225 6 2.1k
Angelina McMillan-Major 520 0.7× 1.2k 1.7× 272 0.8× 139 0.5× 167 0.7× 4 2.3k
Tony Doyle 573 0.7× 322 0.5× 550 1.6× 79 0.3× 315 1.4× 24 1.9k
Besmira Nushi 497 0.6× 992 1.4× 131 0.4× 206 0.7× 91 0.4× 19 2.0k
Aylin Caliskan 394 0.5× 965 1.4× 387 1.1× 105 0.4× 143 0.6× 37 1.9k
Carrie J. Cai 322 0.4× 1.1k 1.6× 176 0.5× 367 1.3× 137 0.6× 38 2.4k
Andrew D. Selbst 1.2k 1.6× 892 1.3× 487 1.4× 46 0.2× 202 0.9× 14 2.1k
Todd Kulesza 310 0.4× 1.0k 1.5× 91 0.3× 300 1.0× 69 0.3× 18 1.6k
Berkeley J. Dietvorst 1.1k 1.4× 836 1.2× 546 1.6× 38 0.1× 396 1.8× 21 2.5k
Q. Vera Liao 389 0.5× 923 1.3× 296 0.9× 132 0.5× 78 0.3× 62 1.7k
Cade Massey 1.0k 1.4× 771 1.1× 660 1.9× 36 0.1× 384 1.7× 21 2.9k

Countries citing papers authored by Joy Buolamwini

Since Specialization
Citations

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

Fields of papers citing papers by Joy Buolamwini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joy Buolamwini

This figure shows the co-authorship network connecting the top 25 collaborators of Joy Buolamwini. A scholar is included among the top collaborators of Joy Buolamwini 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 Joy Buolamwini. Joy Buolamwini 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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