Paige Maas

1.4k total citations
12 papers, 475 citations indexed

About

Paige Maas is a scholar working on Sociology and Political Science, Communication and Information Systems. According to data from OpenAlex, Paige Maas has authored 12 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Sociology and Political Science, 2 papers in Communication and 2 papers in Information Systems. Recurrent topics in Paige Maas's work include Disaster Management and Resilience (3 papers), Public Relations and Crisis Communication (2 papers) and ICT in Developing Communities (2 papers). Paige Maas is often cited by papers focused on Disaster Management and Resilience (3 papers), Public Relations and Crisis Communication (2 papers) and ICT in Developing Communities (2 papers). Paige Maas collaborates with scholars based in United States, Netherlands and Taiwan. Paige Maas's co-authors include Nilanjan Chatterjee, Luc Bonneux, Yi‐Hau Chen, Jan J. Barendregt, Raymond J. Carroll, Danaë Metaxa, Daniel P. Aldrich, John P. Carey, Wade W. Chien and Roland J. Thorpe and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and Journal of the Association for Research in Otolaryngology.

In The Last Decade

Paige Maas

11 papers receiving 454 citations

Peers

Paige Maas
Tammy K. Stump United States
Bobbie Macdonald United States
Gillian Sanders Schmidler United States
Cong Ye China
Sandra E. Sinisi United States
Yfke Ongena Netherlands
Paul A. White United Kingdom
Sabine Hoffmann Germany
Catherine Reeves United States
Philip AbdelMalik Canada
Tammy K. Stump United States
Paige Maas
Citations per year, relative to Paige Maas Paige Maas (= 1×) peers Tammy K. Stump

Countries citing papers authored by Paige Maas

Since Specialization
Citations

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

Fields of papers citing papers by Paige Maas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paige Maas

This figure shows the co-authorship network connecting the top 25 collaborators of Paige Maas. A scholar is included among the top collaborators of Paige Maas 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 Paige Maas. Paige Maas 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.
Karrer, Brian, et al.. (2023). Large-scale measurement of aggregate human colocation patterns for epidemiological modeling. Epidemics. 42. 100663–100663. 9 indexed citations
2.
Choudhury, Parichoy Pal, Paige Maas, Amber N. Hurson, et al.. (2020). iCARE: An R package to build, validate and apply absolute risk models. PLoS ONE. 15(2). e0228198–e0228198. 39 indexed citations
3.
Maas, Paige, et al.. (2019). Facebook Disaster Maps: Aggregate Insights for Crisis Response & Recovery.. ISCRAM. 24 indexed citations
4.
Maas, Paige. (2019). Facebook Disaster Maps. 3173–3173. 73 indexed citations
5.
Maas, Paige, et al.. (2018). How social ties influence evacuation behavior. Proceedings of the ACM on Human-Computer Interaction. 1 indexed citations
6.
Houghton, Lauren C., et al.. (2018). Circulating maternal and umbilical cord steroid hormone and insulin-like growth factor concentrations in twin and singleton pregnancies. Journal of Developmental Origins of Health and Disease. 10(2). 232–236. 2 indexed citations
7.
Metaxa, Danaë, Paige Maas, & Daniel P. Aldrich. (2018). How Social Ties Influence Hurricane Evacuation Behavior. Proceedings of the ACM on Human-Computer Interaction. 2(CSCW). 1–16. 53 indexed citations
8.
Chatterjee, Nilanjan, Yi‐Hau Chen, Paige Maas, & Raymond J. Carroll. (2016). Constrained Maximum Likelihood Estimation for Model Calibration Using Summary-Level Information From External Big Data Sources. Journal of the American Statistical Association. 111(513). 107–117. 97 indexed citations
9.
Chatterjee, Nilanjan, Yi‐Hau Chen, Paige Maas, & Raymond J. Carroll. (2016). Rejoinder. Journal of the American Statistical Association. 111(513). 130–131. 2 indexed citations
10.
Lin, Frank R., Paige Maas, Wade W. Chien, et al.. (2011). Association of Skin Color, Race/Ethnicity, and Hearing Loss Among Adults in the USA. Journal of the Association for Research in Otolaryngology. 13(1). 109–117. 97 indexed citations
11.
Barendregt, Jan J., Luc Bonneux, & Paige Maas. (1996). DALYs: the age-weights on balance.. PubMed. 74(4). 439–43. 76 indexed citations
12.
Koning, Harry J. de, Rob Boer, Paige Maas, et al.. (1990). [Efficacy of mass screening for breast cancer; reduced mortality nationally and internationally].. PubMed. 134(46). 2240–5. 2 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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