Paula Moraga

130.7k total citations · 1 hit paper
59 papers, 1.4k citations indexed

About

Paula Moraga is a scholar working on Public Health, Environmental and Occupational Health, Epidemiology and Modeling and Simulation. According to data from OpenAlex, Paula Moraga has authored 59 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Public Health, Environmental and Occupational Health, 15 papers in Epidemiology and 15 papers in Modeling and Simulation. Recurrent topics in Paula Moraga's work include Data-Driven Disease Surveillance (15 papers), COVID-19 epidemiological studies (14 papers) and Mosquito-borne diseases and control (11 papers). Paula Moraga is often cited by papers focused on Data-Driven Disease Surveillance (15 papers), COVID-19 epidemiological studies (14 papers) and Mosquito-borne diseases and control (11 papers). Paula Moraga collaborates with scholars based in Saudi Arabia, United Kingdom and United States. Paula Moraga's co-authors include Richard B. Primack, Amanda E. Bates, Carlos M. Duarte, Peter J. Diggle, Barry Rowlingson, Benjamín M. Taylor, Kerrie Mengersen, Susanna Cramb, Francisco Montes and Martin Kulldorff and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Paula Moraga

53 papers receiving 1.4k citations

Hit Papers

Global hotspots of climate-related disasters 2024 2026 2025 2024 10 20 30 40
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Global hotspots of climate-related disasters
    2024 41 citations Paula Moraga et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paula Moraga Saudi Arabia 20 336 272 256 230 217 59 1.4k
Abolfazl Mollalo United States 21 272 0.8× 570 2.1× 345 1.3× 324 1.4× 337 1.6× 44 1.5k
Yongmei Lu United States 21 329 1.0× 167 0.6× 221 0.9× 243 1.1× 170 0.8× 84 2.0k
Barry Rowlingson United Kingdom 20 311 0.9× 179 0.7× 413 1.6× 171 0.7× 419 1.9× 43 2.5k
Marc Souris France 24 728 2.2× 217 0.8× 242 0.9× 877 3.8× 90 0.4× 63 1.7k
Emanuele Giorgi United Kingdom 18 395 1.2× 120 0.4× 461 1.8× 306 1.3× 79 0.4× 83 1.4k
Chris Jewell United Kingdom 20 193 0.6× 345 1.3× 246 1.0× 283 1.2× 97 0.4× 68 1.2k
Colin Robertson Canada 22 166 0.5× 82 0.3× 189 0.7× 118 0.5× 86 0.4× 69 1.3k
Victor A. Alegana United Kingdom 34 1.6k 4.6× 461 1.7× 369 1.4× 260 1.1× 239 1.1× 76 3.4k
Ayesha S. Mahmud United States 16 432 1.3× 586 2.2× 361 1.4× 618 2.7× 187 0.9× 38 2.7k

Countries citing papers authored by Paula Moraga

Since Specialization
Citations

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

Fields of papers citing papers by Paula Moraga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paula Moraga

This figure shows the co-authorship network connecting the top 25 collaborators of Paula Moraga. A scholar is included among the top collaborators of Paula Moraga 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 Paula Moraga. Paula Moraga 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.
2.
Orellana, Jesem Douglas Yamall, Luke Parry, Patrícia Carignano Torres, et al.. (2025). Estimating double burden of malnutrition among rural and urban children in Amazonia using Bayesian latent models. Frontiers in Public Health. 13. 1481397–1481397. 1 indexed citations
3.
Moraga, Paula, et al.. (2025). Multivariate Disaggregation Modeling of Air Pollutants: A Case-Study of PM2.5, PM10 and Ozone Prediction in Portugal and Italy. The American Statistician. 80(1). 109–134. 1 indexed citations
4.
Moraga, Paula, et al.. (2025). Bayesian modelling for the integration of spatially misaligned health and environmental data. Stochastic Environmental Research and Risk Assessment. 39(4). 1485–1499. 1 indexed citations
5.
Wrobel, Julia, et al.. (2025). Analyzing Spatial Point Patterns in Digital Pathology: Immune Cells in High-Grade Serous Ovarian Carcinomas. The American Statistician. 79(3). 355–370.
6.
Rubio, Francisco J., et al.. (2024). Extended excess hazard models for spatially dependent survival data. Statistical Methods in Medical Research. 33(4). 681–701.
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Musa, Kamarul Imran, et al.. (2024). Spatial Interaction Between Leptospirosis and Enteric Fever in Kelantan, Malaysia: A 2016-2022 Notification Registry Analysis. Asia Pacific Journal of Public Health. 36(8). 738–745.
9.
Arango-Londoño, David, et al.. (2024). Effects of climate variability on the spatio-temporal distribution of Dengue in Valle del Cauca, Colombia, from 2001 to 2019. PLoS ONE. 19(10). e0311607–e0311607. 5 indexed citations
10.
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Moraga, Paula. (2023). Spatial Statistics for Data Science. 19 indexed citations
12.
Barboza, Luis A., et al.. (2023). Bayesian spatial modeling of childhood overweight and obesity prevalence in Costa Rica. BMC Public Health. 23(1). 651–651. 2 indexed citations
13.
Moraga, Paula, et al.. (2022). Spatio-temporal modeling of infectious diseases by integrating compartment and point process models. Stochastic Environmental Research and Risk Assessment. 37(4). 1519–1533. 9 indexed citations
14.
Arango-Londoño, David, et al.. (2022). Spatial modeling and socioeconomic inequities of COVID-19 in the urban area of the city of Cali, Colombia. Spatial and Spatio-temporal Epidemiology. 44. 100561–100561. 4 indexed citations
15.
Al-Salem, Waleed S., et al.. (2021). The emergence and transmission of COVID-19 in European countries, 2019–2020: a comprehensive review of timelines, cases and containment. International Health. 13(5). 383–398. 19 indexed citations
16.
Amoah, Benjamin, Robert S. McCann, Alinune N. Kabaghe, et al.. (2021). Identifying Plasmodium falciparum transmission patterns through parasite prevalence and entomological inoculation rate. eLife. 10. 12 indexed citations
17.
Moraga, Paula, et al.. (2021). Bayesian spatial modelling of geostatistical data using INLA and SPDE methods: A case study predicting malaria risk in Mozambique. Spatial and Spatio-temporal Epidemiology. 39. 100440–100440. 29 indexed citations
18.
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Moraga, Paula, et al.. (2019). Geostatistical methods for modelling non-stationary patterns in disease risk. Spatial Statistics. 35. 100397–100397. 9 indexed citations
20.
Cramb, Susanna, et al.. (2018). Bayesian spatial and spatio-temporal approaches to modelling dengue fever: a systematic review. Epidemiology and Infection. 147. e33–e33. 60 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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