Emanuel Moss

1.1k total citations
27 papers, 633 citations indexed

About

Emanuel Moss is a scholar working on Safety Research, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Emanuel Moss has authored 27 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Safety Research, 6 papers in Cognitive Neuroscience and 6 papers in Artificial Intelligence. Recurrent topics in Emanuel Moss's work include Ethics and Social Impacts of AI (19 papers), Neuroethics, Human Enhancement, Biomedical Innovations (5 papers) and Mobile Crowdsensing and Crowdsourcing (3 papers). Emanuel Moss is often cited by papers focused on Ethics and Social Impacts of AI (19 papers), Neuroethics, Human Enhancement, Biomedical Innovations (5 papers) and Mobile Crowdsensing and Crowdsourcing (3 papers). Emanuel Moss collaborates with scholars based in United States, United Kingdom and Canada. Emanuel Moss's co-authors include Jacob Metcalf, Mona Sloane, Elizabeth Anne Watkins, Madeleine Clare Elish, Ranjit Singh, Christopher H. Roosevelt, A. Feder Cooper, Helen Nissenbaum, Rumman Chowdhury and danah boyd and has published in prestigious journals such as Communications of the ACM, American Ethnologist and Nature Machine Intelligence.

In The Last Decade

Emanuel Moss

26 papers receiving 587 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emanuel Moss United States 13 288 158 129 87 84 27 633
Nanna Bonde Thylstrup Denmark 11 67 0.2× 32 0.2× 121 0.9× 47 0.5× 4 0.0× 32 346
Geoffrey Rockwell Canada 12 47 0.2× 111 0.7× 73 0.6× 66 0.8× 3 0.0× 70 432
Michael Madaio United States 14 399 1.4× 266 1.7× 104 0.8× 133 1.5× 1 0.0× 32 790
Hyun-Kyung Lee South Korea 9 23 0.1× 99 0.6× 118 0.9× 89 1.0× 7 0.1× 47 554
Kenneth Holstein United States 14 260 0.9× 326 2.1× 107 0.8× 108 1.2× 54 848
Pratyusha Kalluri United States 6 194 0.7× 177 1.1× 79 0.6× 29 0.3× 1 0.0× 8 462
Elizabeth Lomas United Kingdom 11 113 0.4× 65 0.4× 114 0.9× 107 1.2× 1 0.0× 36 428
Elizabeth Anne Watkins United States 10 175 0.6× 132 0.8× 103 0.8× 71 0.8× 32 396
Madeleine Clare Elish United States 11 373 1.3× 212 1.3× 168 1.3× 80 0.9× 19 744
Michael Katell United Kingdom 8 218 0.8× 116 0.7× 73 0.6× 59 0.7× 24 355

Countries citing papers authored by Emanuel Moss

Since Specialization
Citations

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

Fields of papers citing papers by Emanuel Moss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emanuel Moss

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

All Works

20 of 20 papers shown
1.
Sloane, Mona, Emanuel Moss, Susan Kennedy, et al.. (2025). Materiality and risk in the age of pervasive AI sensors. Nature Machine Intelligence. 7(3). 334–345. 2 indexed citations
2.
3.
Sloane, Mona, David Danks, & Emanuel Moss. (2024). Tackling AI Hyping. AI and Ethics. 4(3). 669–677. 5 indexed citations
4.
Metcalf, Jacob, et al.. (2023). Taking Algorithms to Courts: A Relational Approach to Algorithmic Accountability. 1450–1462. 6 indexed citations
5.
Sloane, Mona & Emanuel Moss. (2023). Assessing the Assessment: Comparing Algorithmic Impact Assessments and AI Audits. SSRN Electronic Journal. 5 indexed citations
6.
Moss, Emanuel. (2023). Trust Is Not Enough: Accuracy, Error, Randomness, and Accountability in an Algorithmic Society. Communications of the ACM. 66(6). 42–44. 1 indexed citations
7.
Sloane, Mona, Emanuel Moss, & Rumman Chowdhury. (2022). A Silicon Valley love triangle: Hiring algorithms, pseudo-science, and the quest for auditability. Patterns. 3(2). 100425–100425. 39 indexed citations
8.
Moss, Emanuel, et al.. (2022). Obligations to assess: Recent trends in AI accountability regulations. Patterns. 3(11). 100608–100608. 11 indexed citations
9.
Moss, Emanuel. (2021). Technologies of Speculation: The Limits of Knowledge in a Data-Driven Society. Journal of Cultural Economy. 14(4). 506–509. 13 indexed citations
10.
Metcalf, Jacob, Emanuel Moss, Elizabeth Anne Watkins, Ranjit Singh, & Madeleine Clare Elish. (2021). Algorithmic Impact Assessments and Accountability. 735–746. 89 indexed citations
11.
Watkins, Elizabeth Anne, Emanuel Moss, Jacob Metcalf, Ranjit Singh, & Madeleine Clare Elish. (2021). Governing Algorithmic Systems with Impact Assessments: Six Observations. SSRN Electronic Journal. 1010–1022.
12.
Moss, Emanuel, Elizabeth Anne Watkins, Ranjit Singh, Madeleine Clare Elish, & Jacob Metcalf. (2021). Assembling Accountability: Algorithmic Impact Assessment for the Public Interest. SSRN Electronic Journal. 43 indexed citations
13.
Metcalf, Jacob, Emanuel Moss, Elizabeth Anne Watkins, Ranjit Singh, & Madeleine Clare Elish. (2020). Algorithmic Impact Assessments and Accountability: The Co-construction of Impacts. SSRN Electronic Journal. 6 indexed citations
14.
Dubois, Elizabeth, et al.. (2020). Positionality-aware machine learning. 704–704. 7 indexed citations
15.
16.
Moss, Emanuel & Jacob Metcalf. (2020). High Tech, High Risk: Tech Ethics Lessons for the COVID-19 Pandemic Response. Patterns. 1(7). 100102–100102. 16 indexed citations
17.
Moss, Emanuel, Elizabeth Anne Watkins, Jacob Metcalf, & Madeleine Clare Elish. (2020). Governing with Algorithmic Impact Assessments: Six Observations. SSRN Electronic Journal. 8 indexed citations
18.
Metcalf, Jacob, Emanuel Moss, & danah boyd. (2019). Owning Ethics: Corporate Logics, Silicon Valley, and the Institutionalization of Ethics. Social research. 86(2). 449–476. 36 indexed citations
19.
Moss, Emanuel & Friederike Schüür. (2018). How Modes of Myth‐Making Affect the Particulars of DS/ML Adoption in Industry. Ethnographic Praxis in Industry Conference Proceedings. 2018(1). 264–280. 4 indexed citations
20.
Roosevelt, Christopher H., et al.. (2015). Excavation is Destruction Digitization: Advances in Archaeological Practice. Journal of Field Archaeology. 40(3). 325–346. 130 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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