Scott Robbins

662 total citations
12 papers, 374 citations indexed

About

Scott Robbins is a scholar working on Safety Research, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Scott Robbins has authored 12 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Safety Research, 5 papers in Artificial Intelligence and 4 papers in Cognitive Neuroscience. Recurrent topics in Scott Robbins's work include Ethics and Social Impacts of AI (8 papers), Neuroethics, Human Enhancement, Biomedical Innovations (4 papers) and Explainable Artificial Intelligence (XAI) (3 papers). Scott Robbins is often cited by papers focused on Ethics and Social Impacts of AI (8 papers), Neuroethics, Human Enhancement, Biomedical Innovations (4 papers) and Explainable Artificial Intelligence (XAI) (3 papers). Scott Robbins collaborates with scholars based in Netherlands, Germany and Australia. Scott Robbins's co-authors include Aimee van Wynsberghe, Adam Henschke, Joanna J. Bryson and Seumas Miller and has published in prestigious journals such as Sustainability, Science and Engineering Ethics and Topics in Cognitive Science.

In The Last Decade

Scott Robbins

11 papers receiving 357 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Scott Robbins Netherlands	8	204	120	102	64	57	12	374
Pratyusha Kalluri United States	6	194 1.0×	177 1.5×	67 0.7×	79 1.2×	65 1.1×	8	462
Jess Whittlestone United Kingdom	7	224 1.1×	130 1.1×	81 0.8×	60 0.9×	77 1.4×	10	357
Bogdana Rakova United States	6	159 0.8×	69 0.6×	42 0.4×	43 0.7×	37 0.6×	9	258
Nina Grgić-Hlača Germany	10	308 1.5×	208 1.7×	72 0.7×	91 1.4×	45 0.8×	15	447
Michael Katell United Kingdom	8	218 1.1×	116 1.0×	41 0.4×	73 1.1×	42 0.7×	24	355
Claudio Novelli Italy	9	177 0.9×	132 1.1×	42 0.4×	49 0.8×	44 0.8×	29	356
Elizabeth Anne Watkins United States	10	175 0.9×	132 1.1×	27 0.3×	103 1.6×	61 1.1×	32	396
Elettra Bietti United States	7	149 0.7×	62 0.5×	64 0.6×	77 1.2×	20 0.4×	14	269
Anat Elhalal United Kingdom	5	381 1.9×	179 1.5×	130 1.3×	57 0.9×	171 3.0×	7	569
Jamila Smith-Loud United States	2	283 1.4×	220 1.8×	38 0.4×	55 0.9×	94 1.6×	2	436

Countries citing papers authored by Scott Robbins

Since Specialization

Citations

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

Fields of papers citing papers by Scott Robbins

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott Robbins

This figure shows the co-authorship network connecting the top 25 collaborators of Scott Robbins. A scholar is included among the top collaborators of Scott Robbins 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 Scott Robbins. Scott Robbins 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:

12 of 12 papers shown

1.

Robbins, Scott. (2025). What machines shouldn’t do. AI & Society. 40(5). 4093–4104. 3 indexed citations

2.

Robbins, Scott, et al.. (2025). Losing Our Voice? Generative AI and the Degradation of Human Expression. Minds and Machines. 36(1).

3.

Robbins, Scott, et al.. (2023). Do We Collaborate With What We Design?. Topics in Cognitive Science. 17(2). 392–411. 11 indexed citations

4.

Robbins, Scott. (2023). The many meanings of meaningful human control. AI and Ethics. 4(4). 1377–1388. 11 indexed citations

5.

Robbins, Scott & Aimee van Wynsberghe. (2022). Our New Artificial Intelligence Infrastructure: Becoming Locked into an Unsustainable Future. Sustainability. 14(8). 4829–4829. 47 indexed citations

6.

Robbins, Scott. (2021). Machine Learning and Counter-Terrorism. Research Repository (Delft University of Technology). 1 indexed citations

7.

Henschke, Adam, et al.. (2021). Counter-Terrorism, Ethics and Technology. Charles Sturt University Research Output (CRO). 4 indexed citations

8.

Robbins, Scott. (2019). A Misdirected Principle with a Catch: Explicability for AI. Minds and Machines. 29(4). 495–514. 92 indexed citations

9.

Robbins, Scott. (2019). AI and the path to envelopment: knowledge as a first step towards the responsible regulation and use of AI-powered machines. AI & Society. 35(2). 391–400. 44 indexed citations

10.

Wynsberghe, Aimee van & Scott Robbins. (2018). Critiquing the Reasons for Making Artificial Moral Agents. Science and Engineering Ethics. 25(3). 719–735. 92 indexed citations

11.

Robbins, Scott & Adam Henschke. (2017). The Value of Transparency: Bulk Data and Authoritarianism. Surveillance & Society. 15(3/4). 582–589. 17 indexed citations

12.

Wynsberghe, Aimee van & Scott Robbins. (2013). Ethicist as Designer: A Pragmatic Approach to Ethics in the Lab. Science and Engineering Ethics. 20(4). 947–961. 52 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.

Explore authors with similar magnitude of impact