Lauren Klein

2.1k total citations · 1 hit paper
33 papers, 955 citations indexed

About

Lauren Klein is a scholar working on Sociology and Political Science, Literature and Literary Theory and General Social Sciences. According to data from OpenAlex, Lauren Klein has authored 33 papers receiving a total of 955 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Sociology and Political Science, 6 papers in Literature and Literary Theory and 6 papers in General Social Sciences. Recurrent topics in Lauren Klein's work include Computational and Text Analysis Methods (6 papers), Digital Humanities and Scholarship (5 papers) and Data Visualization and Analytics (5 papers). Lauren Klein is often cited by papers focused on Computational and Text Analysis Methods (6 papers), Digital Humanities and Scholarship (5 papers) and Data Visualization and Analytics (5 papers). Lauren Klein collaborates with scholars based in United States, Netherlands and Italy. Lauren Klein's co-authors include Catherine D’Ignazio, Jacob Eisenstein, Niloufar Salehi, Patricia Martínez García, Marika Cifor, Tonia Sutherland, Anita Chan, Sandeep Soni, Miriah Meyer and Caroline Foster and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Lauren Klein

28 papers receiving 882 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Data Feminism

2020 720 citations Catherine D’Ignazio, Lauren Klein The MIT Press eBooks profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lauren Klein United States	8	309	192	132	103	92	33	955
Nick Seaver United States	11	444 1.4×	371 1.9×	112 0.8×	123 1.2×	50 0.5×	16	1.1k
Wendy Hui Kyong Chun Canada	15	545 1.8×	139 0.7×	77 0.6×	120 1.2×	65 0.7×	38	1.3k
Helen Kennedy United Kingdom	19	545 1.8×	170 0.9×	125 0.9×	97 0.9×	184 2.0×	41	1.1k
Sibille Merz Germany	8	404 1.3×	260 1.4×	108 0.8×	108 1.0×	22 0.2×	19	1.0k
Catherine D’Ignazio United States	20	516 1.7×	294 1.5×	189 1.4×	322 3.1×	131 1.4×	53	1.6k
Os Keyes United States	17	372 1.2×	253 1.3×	206 1.6×	407 4.0×	51 0.6×	28	1.2k
Lucy Avraamidou Netherlands	26	388 1.3×	254 1.3×	35 0.3×	64 0.6×	106 1.2×	94	1.9k
Adrian Mackenzie United Kingdom	17	326 1.1×	138 0.7×	53 0.4×	62 0.6×	32 0.3×	53	1.0k
Evelyn Ruppert United Kingdom	18	772 2.5×	129 0.7×	67 0.5×	57 0.6×	26 0.3×	56	1.5k
Dawn Nafus United States	17	687 2.2×	174 0.9×	74 0.6×	385 3.7×	46 0.5×	35	1.5k

Countries citing papers authored by Lauren Klein

Since Specialization

Citations

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

Fields of papers citing papers by Lauren Klein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lauren Klein

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Klein, Lauren, et al.. (2024). The Power of Absence: Thinking with Archival Theory in Algorithmic Design. Designing Interactive Systems Conference. 214–223. 1 indexed citations

2.

Lucy, Li, Suchin Gururangan, Luca Soldaini, et al.. (2024). AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data Filters. 7393–7420. 1 indexed citations

3.

Klein, Lauren, et al.. (2024). Entanglements for Visualization: Changing Research Outcomes through Feminist Theory. IEEE Transactions on Visualization and Computer Graphics. 31(1). 1279–1289. 6 indexed citations

4.

Klein, Lauren, et al.. (2024). Clinician as editor: notes in the era of AI scribes. The Lancet. 404(10468). 2154–2155. 2 indexed citations

5.

Klein, Lauren. (2024). More Than a Glitch: Confronting Race, Gender, and Ability Bias in Tech. 2(2). 3 indexed citations

6.

Klein, Lauren. (2022). What Data Visualization Reveals: Elizabeth Palmer Peabody and the Work of Knowledge Production. SHILAP Revista de lepidopterología. 4(2). 5 indexed citations

7.

Klein, Lauren. (2022). Are Large Language Models Our Limit Case?. Zenodo (CERN European Organization for Nuclear Research).

8.

D’Ignazio, Catherine, et al.. (2021). La práctica del feminismo de datos: Conversaciones con Catherine DʼIgnazio, Lauren Klein y Maya Livio. SHILAP Revista de lepidopterología. 1 indexed citations

9.

D’Ignazio, Catherine & Lauren Klein. (2020). Data Feminism. The MIT Press eBooks. 720 indexed citations breakdown →

10.

D’Ignazio, Catherine & Lauren Klein. (2020). Seven intersectional feminist principles for equitable and actionable COVID-19 data. Big Data & Society. 7(2). 3870714832–3870714832. 19 indexed citations

11.

Klein, Lauren. (2020). Dimensions of Scale: Invisible Labor, Editorial Work, and the Future of Quantitative Literary Studies. PMLA/Publications of the Modern Language Association of America. 135(1). 23–39. 6 indexed citations

12.

Klein, Lauren, et al.. (2018). Reimagining Elizabeth Palmer Peabody's Lost "Mural Charts".. DH. 607–608. 1 indexed citations

13.

Hayward, Adam D., et al.. (2018). TOME: A Topic Modeling Tool for Document Discovery and Exploration.. DH. 609–611. 1 indexed citations

14.

Klein, Lauren, et al.. (2017). The Shape of History: Reimagining Nineteenth-Century Data Visualization.. DH. 1 indexed citations

15.

D’Ignazio, Catherine & Lauren Klein. (2016). Feminist Data Visualization. 38 indexed citations

16.

Eisenstein, Jacob, et al.. (2014). Exploratory Thematic Analysis for Historical Newspaper Archives. DH. 5 indexed citations

17.

Klein, Lauren & Jacob Eisenstein. (2013). Reading Thomas Jefferson with TopicViz: Towards a Thematic Method for Exploring Large Cultural Archives. 4(3). 7 indexed citations

18.

Klein, Lauren. (2012). Social Network Analysis and Visualization in 'The Papers of Thomas Jefferson'.. DH. 254–255. 2 indexed citations

19.

Klein, Lauren. (2012). American Studies after the Internet. American Quarterly. 64(4). 861–872. 2 indexed citations

20.

Klein, Lauren, et al.. (2003). Tools for Manipulating, Processing and Browsing HDF-EOS - Based Data. AGU Fall Meeting Abstracts. 2003. 1 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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