Dan Calacci

491 total citations · 1 hit paper
12 papers, 254 citations indexed

About

Dan Calacci is a scholar working on Sociology and Political Science, Marketing and Artificial Intelligence. According to data from OpenAlex, Dan Calacci has authored 12 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Sociology and Political Science, 4 papers in Marketing and 2 papers in Artificial Intelligence. Recurrent topics in Dan Calacci's work include Digital Economy and Work Transformation (5 papers), Sharing Economy and Platforms (4 papers) and Ethics and Social Impacts of AI (2 papers). Dan Calacci is often cited by papers focused on Digital Economy and Work Transformation (5 papers), Sharing Economy and Platforms (4 papers) and Ethics and Social Impacts of AI (2 papers). Dan Calacci collaborates with scholars based in United States, United Kingdom and Spain. Dan Calacci's co-authors include Alex Pentland, Xiaowen Dong, Esteban Moro, Kent Larson, Takahiro Yabe and Andrés Monroy‐Hernández and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Data.

In The Last Decade

Dan Calacci

10 papers receiving 249 citations

Hit Papers

Mobility patterns are associated with experienced income ... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan Calacci United States 6 116 103 30 25 23 12 254
Sanja Šćepanović United Kingdom 9 52 0.4× 59 0.6× 29 1.0× 12 0.5× 8 0.3× 28 255
Alessia Calafiore United Kingdom 8 196 1.7× 58 0.6× 50 1.7× 13 0.5× 11 0.5× 23 354
Alex Rutherford United States 10 34 0.3× 88 0.9× 9 0.3× 7 0.3× 12 0.5× 20 240
Nahema Marchal United Kingdom 8 49 0.4× 100 1.0× 16 0.5× 6 0.2× 6 0.3× 16 243
Philip Laird Australia 8 76 0.7× 48 0.5× 5 0.2× 6 0.2× 16 0.7× 43 305
Masoomali Fatehkia United States 7 74 0.6× 101 1.0× 68 2.3× 8 0.3× 8 0.3× 10 244
Kiyoshi Takami Japan 10 266 2.3× 92 0.9× 36 1.2× 31 1.2× 6 0.3× 36 467
Gavin Cochrane United Kingdom 6 79 0.7× 26 0.3× 13 0.4× 6 0.2× 30 1.3× 24 355
Laura Lotero Colombia 8 55 0.5× 48 0.5× 46 1.5× 29 1.2× 3 0.1× 21 316
Sungsoon Hwang United States 8 44 0.4× 27 0.3× 22 0.7× 6 0.2× 11 0.5× 20 279

Countries citing papers authored by Dan Calacci

Since Specialization
Citations

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

Fields of papers citing papers by Dan Calacci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Calacci

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

All Works

12 of 12 papers shown
1.
Calacci, Dan, et al.. (2025). Rideshare Transparency: Translating Gig Worker Insights on AI Platform Design to Policy. Proceedings of the ACM on Human-Computer Interaction. 9(2). 1–49. 2 indexed citations
2.
Calacci, Dan, et al.. (2025). Evaluating Amazon effects and the limited impact of COVID-19 with purchases crowdsourced from US consumers. PLoS ONE. 20(11). e0336571–e0336571.
4.
Calacci, Dan, et al.. (2024). Open e-commerce 1.0, five years of crowdsourced U.S. Amazon purchase histories with user demographics. Scientific Data. 11(1). 491–491. 3 indexed citations
5.
Calacci, Dan. (2023). Building Dreams Beyond Labor: Worker Autonomy in the Age of AI. interactions. 30(6). 48–51. 4 indexed citations
6.
Calacci, Dan, et al.. (2023). From access to understanding: Collective data governance for workers. European Labour Law Journal. 14(2). 253–282. 8 indexed citations
7.
Calacci, Dan, et al.. (2022). Privacy Limitations of Interest-based Advertising on The Web. Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security. 337–349. 4 indexed citations
8.
Calacci, Dan. (2022). Organizing in the End of Employment: Information Sharing, Data Stewardship, and Digital Workerism. DSpace@MIT (Massachusetts Institute of Technology). 1–9. 21 indexed citations
9.
Calacci, Dan & Alex Pentland. (2022). Bargaining with the Black-Box. Proceedings of the ACM on Human-Computer Interaction. 6(CSCW2). 1–24. 24 indexed citations
10.
Calacci, Dan, et al.. (2022). The Cop In Your Neighbor's Doorbell: Amazon Ring and the Spread of Participatory Mass Surveillance. Proceedings of the ACM on Human-Computer Interaction. 6(CSCW2). 1–47. 8 indexed citations
11.
Moro, Esteban, Dan Calacci, Xiaowen Dong, & Alex Pentland. (2021). Mobility patterns are associated with experienced income segregation in large US cities. Nature Communications. 12(1). 4633–4633. 150 indexed citations breakdown →
12.
Calacci, Dan, et al.. (2018). Rhythm: A Unified Measurement Platform for Human Organizations. IEEE Multimedia. 25(1). 26–38. 30 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