Diego Ruiz-Moreno

975 citations
9 papers · 676 indexed · h-index 8
Topics
COVID-19 epidemiological studies (3 papers)Mosquito-borne diseases and control (3 papers)Vibrio bacteria research studies (2 papers)
Journals
SHILAP Revista de lepidopterologíaTrends in Ecology & EvolutionPLoS neglected tropical diseases

In The Last Decade

Diego Ruiz-Moreno

9 papers receiving 658 citations

Peers

Diego Ruiz-Moreno
Comparison fields: 5 of 83
  • Public Health, Environmental and Occupational Health 261
  • Ecology 240
  • Infectious Diseases 161
  • Global and Planetary Change 101
  • Modeling and Simulation 100
Replace Tal Ben‐Horin with:
Tal Ben‐Horin United States
Michael H. Cortez United States
Guofa Zhou United States
Jamie M. Caldwell United States
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Martha L. Quiñones Colombia
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Citations per field
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Citations per year

Countries citing papers authored by Diego Ruiz-Moreno

Since Specialization
Citations

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

Fields of papers citing papers by Diego Ruiz-Moreno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diego Ruiz-Moreno

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 9
2 92
3 75
4 127
5 249
6 45
7
Recruitment dynamics of the tropical rainforest tree Dipteryx oleifera (Fabaceae) in eastern Nicaragua
2
8 60
9 17

About Diego Ruiz-Moreno

Diego Ruiz-Moreno is a scholar working on Modeling and Simulation, Endocrinology and Insect Science, having authored 9 papers that have together received 676 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (3 papers), Mosquito-borne diseases and control (3 papers) and Vibrio bacteria research studies (2 papers). The work is most often cited by research in Modeling and Simulation (100 citations), Endocrinology (84 citations) and Ecological Modeling (51 citations). Diego Ruiz-Moreno has collaborated with scholars based in United States, Argentina and Australia. Frequent co-authors include Andrew P. Dobson, Thomas R. Raffel, Matthew B. Thomas, A. Marm Kilpatrick, Sara H. Paull, Pieter T. J. Johnson, Jason R. Rohr, Laura C. Harrington, Mercedes Pascual and Ken E. Olson. Their work appears in journals such as SHILAP Revista de lepidopterología, Trends in Ecology & Evolution and PLoS neglected tropical diseases.

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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