Safiya Noble

79 total papers · 6.3k total citations
26 papers, 2.1k citations indexed

About

Safiya Noble is a scholar working on Sociology and Political Science, Library and Information Sciences and Information Systems. According to data from OpenAlex, Safiya Noble has authored 26 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Sociology and Political Science, 4 papers in Library and Information Sciences and 3 papers in Information Systems. Recurrent topics in Safiya Noble's work include Library Science and Information Literacy (4 papers), Library Science and Administration (4 papers) and Ethics and Social Impacts of AI (3 papers). Safiya Noble is often cited by papers focused on Library Science and Information Literacy (4 papers), Library Science and Administration (4 papers) and Ethics and Social Impacts of AI (3 papers). Safiya Noble collaborates with scholars based in United States, Switzerland and Canada. Safiya Noble's co-authors include Brendesha M. Tynes, Nicole A. Cooke, Sarah Roberts, Laurel Smith‐Doerr, Sharla Alegria, Susan E. Bell, Steve Hoffman, Benjamin Shestakofsky, Taylor M. Cruz and Kelly Joyce and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and interactions.

In The Last Decade

Safiya Noble

23 papers receiving 1.8k citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

Author Peers

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

Author						Papers	Cites
Safiya Noble	857	524	357	313	264	26	2.1k
David Beer	1.5k 1.8×	422 0.8×	514 1.4×	134 0.4×	258 1.0×	70	2.9k
Michael Zimmer	1.1k 1.3×	173 0.3×	496 1.4×	343 1.1×	326 1.2×	77	2.0k
Taina Bucher	1.4k 1.6×	564 1.1×	739 2.1×	265 0.8×	219 0.8×	26	2.5k
Tony Doyle	550 0.6×	573 1.1×	103 0.3×	322 1.0×	198 0.8×	24	1.9k
Christian Sandvig	1.2k 1.4×	500 1.0×	511 1.4×	357 1.1×	342 1.3×	37	2.4k
Mary L. Gray	920 1.1×	307 0.6×	211 0.6×	205 0.7×	131 0.5×	44	1.9k
Catherine D’Ignazio	509 0.6×	286 0.5×	120 0.3×	182 0.6×	172 0.7×	52	1.6k
Ulises A. Mejias	826 1.0×	288 0.5×	368 1.0×	118 0.4×	268 1.0×	24	1.7k
David Lyon	1.7k 1.9×	224 0.4×	342 1.0×	171 0.5×	258 1.0×	64	2.7k
Mark Andrejevic	1.8k 2.1×	298 0.6×	796 2.2×	179 0.6×	247 0.9×	104	3.2k

Countries citing papers authored by Safiya Noble

Since Specialization

Citations

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

Fields of papers citing papers by Safiya Noble

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Safiya Noble

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