Dan McQuillan

546 total citations
16 papers, 241 citations indexed

About

Dan McQuillan is a scholar working on Safety Research, Cognitive Neuroscience and Sociology and Political Science. According to data from OpenAlex, Dan McQuillan has authored 16 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Safety Research, 4 papers in Cognitive Neuroscience and 2 papers in Sociology and Political Science. Recurrent topics in Dan McQuillan's work include Ethics and Social Impacts of AI (6 papers), Neuroethics, Human Enhancement, Biomedical Innovations (3 papers) and Species Distribution and Climate Change (2 papers). Dan McQuillan is often cited by papers focused on Ethics and Social Impacts of AI (6 papers), Neuroethics, Human Enhancement, Biomedical Innovations (3 papers) and Species Distribution and Climate Change (2 papers). Dan McQuillan collaborates with scholars based in United Kingdom, Austria and Sweden. Dan McQuillan's co-authors include Robert A. Francis, Teresa Cerratto Pargman and Juliane Jarke and has published in prestigious journals such as Environmental Monitoring and Assessment, Habitat International and Social Media + Society.

In The Last Decade

Dan McQuillan

15 papers receiving 218 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan McQuillan United Kingdom 8 97 70 40 38 26 16 241
Razvan Amironesei United States 6 151 1.6× 70 1.0× 36 0.9× 34 0.9× 114 4.4× 12 354
Judith Simon Germany 9 93 1.0× 108 1.5× 65 1.6× 36 0.9× 50 1.9× 28 338
Vincent Wiegel Netherlands 7 66 0.7× 54 0.8× 26 0.7× 45 1.2× 27 1.0× 14 184
William Knight United Kingdom 7 92 0.9× 56 0.8× 32 0.8× 61 1.6× 32 1.2× 11 285
Jascha Bareis Germany 5 121 1.2× 80 1.1× 21 0.5× 28 0.7× 48 1.8× 10 254
Elettra Bietti United States 7 149 1.5× 77 1.1× 48 1.2× 64 1.7× 62 2.4× 14 269
Kelly Laas United States 6 135 1.4× 44 0.6× 32 0.8× 36 0.9× 41 1.6× 17 238
Sjoerd D. Zwart Netherlands 9 77 0.8× 80 1.1× 17 0.4× 85 2.2× 50 1.9× 20 317
Meg Leta Jones United States 8 65 0.7× 118 1.7× 50 1.3× 18 0.5× 54 2.1× 32 229
Tobias Matzner Germany 9 83 0.9× 104 1.5× 52 1.3× 17 0.4× 70 2.7× 20 256

Countries citing papers authored by Dan McQuillan

Since Specialization
Citations

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

Fields of papers citing papers by Dan McQuillan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan McQuillan

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

All Works

16 of 16 papers shown
1.
McQuillan, Dan, Juliane Jarke, & Teresa Cerratto Pargman. (2023). We Are at an Extreme Point Where We Have to Go All in on What We Really Believe Education Should Be About. Postdigital Science and Education. 6(1). 360–368. 7 indexed citations
2.
3.
McQuillan, Dan. (2022). Resisting AI. Policy Press eBooks. 33 indexed citations
4.
McQuillan, Dan. (2022). Resisting AI. Bristol University Press eBooks. 3 indexed citations
5.
McQuillan, Dan. (2022). Resisting AI. Bristol University Press eBooks. 2 indexed citations
6.
McQuillan, Dan. (2022). Resisting AI. Bristol University Press eBooks. 1 indexed citations
7.
McQuillan, Dan, et al.. (2019). Civilian science: the potential of participatory environmental monitoring in areas affected by armed conflicts. Environmental Monitoring and Assessment. 191(10). 618–618. 22 indexed citations
8.
McQuillan, Dan. (2018). People’s Councils for Ethical Machine Learning. Social Media + Society. 4(2). 34 indexed citations
9.
McQuillan, Dan. (2017). Data Science as Machinic Neoplatonism. Philosophy & Technology. 31(2). 253–272. 50 indexed citations
10.
McQuillan, Dan. (2016). The Anthropocene, resilience and post-colonial computation. SocArXiv (OSF Preprints). 5(2). 92–109. 3 indexed citations
11.
McQuillan, Dan, et al.. (2016). A Truly Beautiful Theorem: Demonstrating the Magnificence of the Fundamental Theorem of Calculus. Journal of Humanistic Mathematics. 6(2). 148–160. 1 indexed citations
12.
McQuillan, Dan. (2016). Algorithmic paranoia and the convivial alternative. Big Data & Society. 3(2). 21 indexed citations
13.
McQuillan, Dan. (2015). Algorithmic states of exception. European Journal of Cultural Studies. 18(4-5). 564–576. 31 indexed citations
14.
McQuillan, Dan. (2015). Bottom-up citizen science projects could challenge authority of orthodox science through community-led investigations. London School of Economics and Political Science Research Online (London School of Economics and Political Science). 1 indexed citations
15.
McQuillan, Dan. (2014). The Countercultural Potential of Citizen Science. M/C Journal. 17(6). 21 indexed citations
16.
McQuillan, Dan, et al.. (1984). Urban upgrading and historic preservation. Habitat International. 8(2). 43–59. 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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