Nathanael J. Fast

3.4k total citations · 1 hit paper
38 papers, 2.3k citations indexed

About

Nathanael J. Fast is a scholar working on Sociology and Political Science, Social Psychology and Safety Research. According to data from OpenAlex, Nathanael J. Fast has authored 38 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Sociology and Political Science, 19 papers in Social Psychology and 8 papers in Safety Research. Recurrent topics in Nathanael J. Fast's work include Social and Intergroup Psychology (20 papers), Cultural Differences and Values (10 papers) and Ethics and Social Impacts of AI (6 papers). Nathanael J. Fast is often cited by papers focused on Social and Intergroup Psychology (20 papers), Cultural Differences and Values (10 papers) and Ethics and Social Impacts of AI (6 papers). Nathanael J. Fast collaborates with scholars based in United States, United Kingdom and Philippines. Nathanael J. Fast's co-authors include Adam D. Galinsky, Niro Sivanathan, Caroline A. Bartel, Ethan R. Burris, David T. Newman, Derek Harmon, Serena Chen, Nir Halevy, Deborah H. Gruenfeld and Priyanka D. Joshi and has published in prestigious journals such as Academy of Management Journal, Psychological Science and Organization Science.

In The Last Decade

Nathanael J. Fast

38 papers receiving 2.2k citations

Hit Papers

When eliminating bias isn’t fair: Algorithmic reductionis... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nathanael J. Fast United States 19 1.2k 889 606 382 286 38 2.3k
Gavin J. Kilduff United States 17 1.1k 0.9× 680 0.8× 485 0.8× 365 1.0× 238 0.8× 28 2.1k
Niro Sivanathan United Kingdom 20 1.6k 1.3× 1.1k 1.3× 726 1.2× 325 0.9× 428 1.5× 36 2.8k
Gillian Ku United Kingdom 17 997 0.8× 862 1.0× 277 0.5× 292 0.8× 308 1.1× 31 2.2k
Nir Halevy United States 23 1.4k 1.2× 921 1.0× 420 0.7× 472 1.2× 314 1.1× 58 2.2k
Maryam Kouchaki United States 21 793 0.7× 699 0.8× 442 0.7× 276 0.7× 535 1.9× 79 2.1k
Peter H. Kim United States 19 1.3k 1.1× 903 1.0× 861 1.4× 417 1.1× 180 0.6× 40 2.8k
Silvia Bonaccio Canada 20 506 0.4× 476 0.5× 441 0.7× 348 0.9× 108 0.4× 50 2.0k
Donald E. Gibson United States 19 906 0.7× 1.1k 1.2× 1.2k 2.0× 215 0.6× 153 0.5× 38 2.9k
Frank D. Belschak Netherlands 25 667 0.5× 1.1k 1.2× 1.6k 2.6× 144 0.4× 161 0.6× 55 2.8k
Stefan Thau United Kingdom 24 1.7k 1.4× 1.1k 1.3× 1.6k 2.6× 250 0.7× 351 1.2× 51 3.3k

Countries citing papers authored by Nathanael J. Fast

Since Specialization
Citations

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

Fields of papers citing papers by Nathanael J. Fast

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathanael J. Fast. 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 Nathanael J. Fast. The network helps show where Nathanael J. Fast may publish in the future.

Co-authorship network of co-authors of Nathanael J. Fast

This figure shows the co-authorship network connecting the top 25 collaborators of Nathanael J. Fast. A scholar is included among the top collaborators of Nathanael J. Fast 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 Nathanael J. Fast. Nathanael J. Fast 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.
Choudhury, Monojit, Zohar Elyoseph, Nathanael J. Fast, et al.. (2025). The promise and pitfalls of generative AI. Nature Reviews Psychology. 4(2). 75–80. 2 indexed citations
2.
Fast, Nathanael J., et al.. (2024). When and why consumers prefer human-free behavior tracking products. Marketing Letters. 35(3). 395–408. 1 indexed citations
3.
Fast, Nathanael J., et al.. (2023). “Inventor’s Bias” at Work: When Low-Performing Algorithms Seem Fair. International Journal of Human-Computer Interaction. 40(1). 24–32. 2 indexed citations
4.
Fast, Nathanael J. & Jennifer R. Overbeck. (2022). The social alignment theory of power: Predicting associative and dissociative behavior in hierarchies. Research in Organizational Behavior. 42. 100178–100178. 2 indexed citations
5.
Gratch, Jonathan & Nathanael J. Fast. (2022). The power to harm: AI assistants pave the way to unethical behavior. Current Opinion in Psychology. 47. 101382–101382. 30 indexed citations
6.
Fast, Nathanael J., et al.. (2021). Humans judge, algorithms nudge: The psychology of behavior tracking acceptance. Organizational Behavior and Human Decision Processes. 164. 11–26. 53 indexed citations
7.
Fast, Nathanael J., et al.. (2020). Losing More than Money: Organizations’ Prosocial Actions Appear Less Authentic When Their Resources are Declining. Journal of Business Ethics. 175(2). 413–425. 2 indexed citations
8.
Newman, David T., Nathanael J. Fast, & Derek Harmon. (2020). When eliminating bias isn’t fair: Algorithmic reductionism and procedural justice in human resource decisions. Organizational Behavior and Human Decision Processes. 160. 149–167. 296 indexed citations breakdown →
9.
Dellaert, Benedict G. C., Suzanne B. Shu, Theo Arentze, et al.. (2020). Consumer decisions with artificially intelligent voice assistants. Marketing Letters. 31(4). 335–347. 76 indexed citations
10.
Fast, Nathanael J., et al.. (2019). Privacy matters… or does It? Algorithms, rationalization, and the erosion of concern for privacy. Current Opinion in Psychology. 31. 44–48. 33 indexed citations
11.
Fast, Nathanael J. & Juliana Schroeder. (2019). Power and decision making: new directions for research in the age of artificial intelligence. Current Opinion in Psychology. 33. 172–176. 35 indexed citations
12.
Fast, Nathanael J., et al.. (2018). Lacking status hinders prosocial behavior among the powerful. Social Behavior and Personality An International Journal. 46(9). 1547–1560. 4 indexed citations
13.
Fast, Nathanael J., et al.. (2017). Identity and Professional Networking. Personality and Social Psychology Bulletin. 43(6). 772–784. 12 indexed citations
14.
Anicich, Eric M., Nathanael J. Fast, Nir Halevy, & Adam D. Galinsky. (2015). When the Bases of Social Hierarchy Collide: Power Without Status Drives Interpersonal Conflict. Organization Science. 27(1). 123–140. 117 indexed citations
15.
Joshi, Priyanka D. & Nathanael J. Fast. (2013). I Am My (High-Power) Role. Personality and Social Psychology Bulletin. 39(7). 898–910. 27 indexed citations
16.
Fast, Nathanael J. & Jennifer R. Overbeck. (2011). THE CURSE OF POWER: ELEVATED RESOURCE CONTROL HINDERS SELF-DETERMINATION. Academy of Management Proceedings. 2011(1). 1–6. 1 indexed citations
17.
Fast, Nathanael J., Nir Halevy, & Adam D. Galinsky. (2011). The destructive nature of power without status. Journal of Experimental Social Psychology. 48(1). 391–394. 172 indexed citations
18.
Fast, Nathanael J., Deborah H. Gruenfeld, Niro Sivanathan, & Adam D. Galinsky. (2009). Illusory Control. Psychological Science. 20(4). 502–508. 301 indexed citations
19.
Fast, Nathanael J. & Larissa Z. Tiedens. (2009). Blame contagion: The automatic transmission of self-serving attributions. Journal of Experimental Social Psychology. 46(1). 97–106. 30 indexed citations
20.
Fast, Nathanael J., Chip Heath, & George Wu. (2009). Common Ground and Cultural Prominence. Psychological Science. 20(7). 904–911. 42 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

Rankless by CCL
2026