Andrew Mao

806 total citations
18 papers, 475 citations indexed

About

Andrew Mao is a scholar working on Computer Science Applications, Safety Research and Artificial Intelligence. According to data from OpenAlex, Andrew Mao has authored 18 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Science Applications, 8 papers in Safety Research and 6 papers in Artificial Intelligence. Recurrent topics in Andrew Mao's work include Mobile Crowdsensing and Crowdsourcing (9 papers), Experimental Behavioral Economics Studies (6 papers) and Auction Theory and Applications (4 papers). Andrew Mao is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (9 papers), Experimental Behavioral Economics Studies (6 papers) and Auction Theory and Applications (4 papers). Andrew Mao collaborates with scholars based in United States, United Kingdom and Denmark. Andrew Mao's co-authors include Yiling Chen, Eric Horvitz, Siddharth Suri, Duncan J. Watts, Ece Kamar, Winter Mason, Arfon M. Smith, Chris Lintott, Megan E. Schwamb and Ariel D. Procaccia and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Andrew Mao

18 papers receiving 461 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andrew Mao United States	11	199	141	109	91	53	18	475
Karën Fort France	8	203 1.0×	263 1.9×	50 0.5×	75 0.8×	74 1.4×	31	605
Markus Luczak–Roesch New Zealand	12	141 0.7×	184 1.3×	30 0.3×	106 1.2×	37 0.7×	71	609
Nava Tintarev Netherlands	15	49 0.2×	174 1.2×	44 0.4×	154 1.7×	65 1.2×	46	483
Travis Kriplean United States	11	231 1.2×	148 1.0×	26 0.2×	245 2.7×	32 0.6×	21	724
Seth Frey United States	12	42 0.2×	66 0.5×	22 0.2×	120 1.3×	22 0.4×	42	336
Ann Devitt Ireland	12	56 0.3×	303 2.1×	55 0.5×	49 0.5×	13 0.2×	37	687
Daniel Kluver United States	11	43 0.2×	177 1.3×	87 0.8×	90 1.0×	40 0.8×	14	431
Rosa María Vicari Brazil	13	188 0.9×	297 2.1×	30 0.3×	79 0.9×	59 1.1×	112	704
Jakob Rogstadius Portugal	9	290 1.5×	122 0.9×	60 0.6×	154 1.7×	27 0.5×	12	560

Countries citing papers authored by Andrew Mao

Since Specialization

Citations

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

Fields of papers citing papers by Andrew Mao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Mao

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

All Works

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18 of 18 papers shown

Mao, Andrew, et al.. (2024). Improving the TENOR of Labeling: Re-evaluating Topic Models for Content Analysis. 840–859. 3 indexed citations

Chen, Yiling, et al.. (2021). Adaptive Polling for Information Aggregation. Proceedings of the AAAI Conference on Artificial Intelligence. 26(1). 122–128. 9 indexed citations

Tsvetkova, Milena, Claudia Wagner, & Andrew Mao. (2018). The emergence of inequality in social groups: Network structure and institutions affect the distribution of earnings in cooperation games. PLoS ONE. 13(7). e0200965–e0200965. 17 indexed citations

Heck, Robert K., Jens Jakob Sørensen, Mark G. Bason, et al.. (2018). Remote optimization of an ultracold atoms experiment by experts and citizen scientists. Proceedings of the National Academy of Sciences. 115(48). E11231–E11237. 47 indexed citations

Mao, Andrew, et al.. (2017). Resilient cooperators stabilize long-run cooperation in the finitely repeated Prisoner’s Dilemma. Nature Communications. 8(1). 13800–13800. 26 indexed citations

Sørensen, Jens Jakob, Mark G. Bason, Pinja Haikka, et al.. (2017). Do physicists stop searches too early? A remote-science, optimization landscape investigation.. 1 indexed citations

Mao, Andrew. (2016). Toward a Quantitative Understanding of Teamwork and Collective Intelligence. National Conference on Artificial Intelligence. 1 indexed citations

Mao, Andrew, Winter Mason, Siddharth Suri, & Duncan J. Watts. (2016). An Experimental Study of Team Size and Performance on a Complex Task. PLoS ONE. 11(4). e0153048–e0153048. 83 indexed citations

Mao, Andrew, et al.. (2016). Resilient Cooperators Stabilize Long-Run Cooperation in the Finitely Repeated Prisoner's Dilemma. SSRN Electronic Journal. 2 indexed citations

10.

Mao, Andrew, et al.. (2014). Trick or treat. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 507–524. 22 indexed citations

11.

Mao, Andrew, Ece Kamar, Yiling Chen, et al.. (2013). Volunteering Versus Work for Pay: Incentives and Tradeoffs in Crowdsourcing. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 1. 94–102. 81 indexed citations

12.

Mao, Andrew, Ece Kamar, & Eric Horvitz. (2013). Why Stop Now? Predicting Worker Engagement in Online Crowdsourcing. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 1. 103–111. 50 indexed citations

13.

Mao, Andrew, et al.. (2013). Capturing Cognitive Aspects of Human Judgment.. 1 indexed citations

14.

Mao, Andrew, et al.. (2013). Better Human Computation Through Principled Voting. Proceedings of the AAAI Conference on Artificial Intelligence. 27(1). 1142–1148. 61 indexed citations

15.

Mao, Andrew, Ariel D. Procaccia, & Yiling Chen. (2012). Social Choice for Human Computation.. National Conference on Artificial Intelligence. 9 indexed citations

16.

Mao, Andrew, Yi‐Ling Chen, Krzysztof Z. Gajos, et al.. (2012). TurkServer: Enabling Synchronous and Longitudinal Online Experiments. 33–39. 26 indexed citations

17.

Mao, Andrew, David C. Parkes, Ariel D. Procaccia, & Haoqi Zhang. (2011). Human Computation and Multiagent Systems: An Algorithmic Perspective. 13 indexed citations

18.

Sherr, Micah, et al.. (2010). A³: An Extensible Platform for Application-Aware Anonymity. ScholarlyCommons (University of Pennsylvania). 23 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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