Max J. Moreno-Madriñán

548 total citations
26 papers, 418 citations indexed

About

Max J. Moreno-Madriñán is a scholar working on Public Health, Environmental and Occupational Health, Water Science and Technology and Oceanography. According to data from OpenAlex, Max J. Moreno-Madriñán has authored 26 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Public Health, Environmental and Occupational Health, 8 papers in Water Science and Technology and 7 papers in Oceanography. Recurrent topics in Max J. Moreno-Madriñán's work include Mosquito-borne diseases and control (7 papers), Marine and coastal ecosystems (7 papers) and COVID-19 epidemiological studies (5 papers). Max J. Moreno-Madriñán is often cited by papers focused on Mosquito-borne diseases and control (7 papers), Marine and coastal ecosystems (7 papers) and COVID-19 epidemiological studies (5 papers). Max J. Moreno-Madriñán collaborates with scholars based in United States, China and Australia. Max J. Moreno-Madriñán's co-authors include Igor Ogashawara, Mohammad Z. Al‐Hamdan, Douglas L. Rickman, Michael J. Turell, Frank Müller‐Karger, Austin Stanforth, Andrew M. Fischer, Kun� Shi, Yunlin Zhang and Yibo Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Max J. Moreno-Madriñán

25 papers receiving 402 citations

Peers

Max J. Moreno-Madriñán
Mark H. Myer United States
D. B. Otis United States
Claire A. Miller United Kingdom
Weixiao Han China
A German Argentina
Verónica Andreo Argentina
Heather Cheshire United States
Samuel F. Atkinson United States
Sharon A. Fitzgerald United States
Tinglu Zhang China
Mark H. Myer United States
Max J. Moreno-Madriñán
Citations per year, relative to Max J. Moreno-Madriñán Max J. Moreno-Madriñán (= 1×) peers Mark H. Myer

Countries citing papers authored by Max J. Moreno-Madriñán

Since Specialization
Citations

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

Fields of papers citing papers by Max J. Moreno-Madriñán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Max J. Moreno-Madriñán. 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 Max J. Moreno-Madriñán. The network helps show where Max J. Moreno-Madriñán may publish in the future.

Co-authorship network of co-authors of Max J. Moreno-Madriñán

This figure shows the co-authorship network connecting the top 25 collaborators of Max J. Moreno-Madriñán. A scholar is included among the top collaborators of Max J. Moreno-Madriñán 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 Max J. Moreno-Madriñán. Max J. Moreno-Madriñán 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.
Moreno-Madriñán, Max J., et al.. (2024). Risk assessment of influenza transmission between workers and pigs on US indoor hog growing units. Preventive Veterinary Medicine. 230. 106232–106232. 3 indexed citations
2.
Filippelli, Gabriel, Max J. Moreno-Madriñán, Jeffrey S. Wilson, et al.. (2023). Efficacy of Low-Cost Sensor Networks at Detecting Fine-Scale Variations in Particulate Matter in Urban Environments. International Journal of Environmental Research and Public Health. 20(3). 1934–1934. 10 indexed citations
3.
Moreno-Madriñán, Max J., et al.. (2023). Stocking Density and Homogeneity, Considerations on Pandemic Potential. SHILAP Revista de lepidopterología. 3(2). 85–92. 2 indexed citations
4.
Moreno-Madriñán, Max J., et al.. (2023). A stochastic compartmental model to simulate intra- and inter-species influenza transmission in an indoor swine farm. PLoS ONE. 18(5). e0278495–e0278495. 3 indexed citations
5.
Zhang, Yibo, Kun� Shi, Yunlin Zhang, et al.. (2021). Water clarity response to climate warming and wetting of the Inner Mongolia-Xinjiang Plateau: A remote sensing approach. The Science of The Total Environment. 796. 148916–148916. 21 indexed citations
6.
Moreno-Madriñán, Max J., et al.. (2020). Comparing different spatio-temporal modeling methods in dengue fever data analysis in Colombia during 2012–2015. Spatial and Spatio-temporal Epidemiology. 34. 100360–100360. 15 indexed citations
7.
Filippelli, Gabriel, Jennifer L. Freeman, Stephen Jay, et al.. (2020). Climate change impacts on human health at an actionable scale: a state-level assessment of Indiana, USA. Climatic Change. 163(4). 1985–2004. 24 indexed citations
8.
Zhang, Yibo, Kun� Shi, Yunlin Zhang, et al.. (2020). River plume monitoring in a deep valley reservoir using HJ-1 A/B images. Journal of Hydrology. 587. 125031–125031. 11 indexed citations
9.
Zhang, Yibo, Kun� Shi, Yunlin Zhang, et al.. (2018). A semi-analytical model for estimating total suspended matter in highly turbid waters. Optics Express. 26(26). 34094–34094. 18 indexed citations
10.
Moreno-Madriñán, Max J., et al.. (2017). Niche Modeling of Dengue Fever Using Remotely Sensed Environmental Factors and Boosted Regression Trees. Remote Sensing. 9(4). 328–328. 31 indexed citations
11.
Fischer, Andrew M., et al.. (2017). Spatio-Temporal Variability in a Turbid and Dynamic Tidal Estuarine Environment (Tasmania, Australia): An Assessment of MODIS Band 1 Reflectance. ISPRS International Journal of Geo-Information. 6(11). 320–320. 14 indexed citations
12.
Ogashawara, Igor, Lin Li, & Max J. Moreno-Madriñán. (2016). Slope algorithm to map algal blooms in inland waters for Landsat 8/Operational Land Imager images. Journal of Applied Remote Sensing. 11(1). 12005–12005. 17 indexed citations
13.
Moreno-Madriñán, Max J., et al.. (2015). Using remote sensing to monitor the influence of river discharge on watershed outlets and adjacent coral Reefs: Magdalena River and Rosario Islands, Colombia. International Journal of Applied Earth Observation and Geoinformation. 38. 204–215. 33 indexed citations
14.
Ogashawara, Igor & Max J. Moreno-Madriñán. (2014). Improving Inland Water Quality Monitoring through Remote Sensing Techniques. ISPRS International Journal of Geo-Information. 3(4). 1234–1255. 14 indexed citations
15.
Moreno-Madriñán, Max J., William L. Crosson, Lars Eisen, et al.. (2014). Correlating Remote Sensing Data with the Abundance of Pupae of the Dengue Virus Mosquito Vector, Aedes aegypti, in Central Mexico. ISPRS International Journal of Geo-Information. 3(2). 732–749. 23 indexed citations
16.
Moreno-Madriñán, Max J. & Andrew M. Fischer. (2013). Performance of the MODIS FLH algorithm in estuarine waters: a multi-year (2003–2010) analysis from Tampa Bay, Florida (USA). International Journal of Remote Sensing. 34(19). 6467–6483. 14 indexed citations
17.
Moreno-Madriñán, Max J., Mohammad Z. Al‐Hamdan, Douglas L. Rickman, & Jun Ye. (2012). Relationship Between Watershed Land-Cover/Land-Use Change and Water Turbidity Status of Tampa Bay Major Tributaries, Florida, USA. Water Air & Soil Pollution. 223(5). 2093–2109. 17 indexed citations
18.
Moreno-Madriñán, Max J., et al.. (2011). Use of Remote Sensing/Geographical Information Systems (RS/GIS) to Identify Environmental Limits of Soil Transmitted Helminthes (STHs) Infection in Boaco, Nicaragua. NASA Technical Reports Server (NASA). 1 indexed citations
19.
Moreno-Madriñán, Max J., Mohammad Z. Al‐Hamdan, Douglas L. Rickman, & Frank Müller‐Karger. (2010). Using the Surface Reflectance MODIS Terra Product to Estimate Turbidity in Tampa Bay, Florida. Remote Sensing. 2(12). 2713–2728. 50 indexed citations
20.
Moreno-Madriñán, Max J.. (2010). Analysis of the Relationship Between Submerged Aquatic Vegetation (SAV) and Water Trophic Status of Lakes Clustered in Northwestern Hillsborough County, Florida. Water Air & Soil Pollution. 214(1-4). 539–546. 14 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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