David Rivas

936 total citations
42 papers, 715 citations indexed

About

David Rivas is a scholar working on Oceanography, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, David Rivas has authored 42 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Oceanography, 14 papers in Global and Planetary Change and 10 papers in Atmospheric Science. Recurrent topics in David Rivas's work include Oceanographic and Atmospheric Processes (19 papers), Marine and coastal ecosystems (13 papers) and Climate variability and models (8 papers). David Rivas is often cited by papers focused on Oceanographic and Atmospheric Processes (19 papers), Marine and coastal ecosystems (13 papers) and Climate variability and models (8 papers). David Rivas collaborates with scholars based in Mexico, United States and Australia. David Rivas's co-authors include Tereza Cavazos, José Ochoa, A. Badan, Ernesto García‐Mendoza, Armin Köhl, Fengchao Yao, Ibrahim Hoteit, Larry J. Pratt, Amy S. Bower and Ganesh Gopalakrishnan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Renewable Energy.

In The Last Decade

David Rivas

39 papers receiving 692 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Rivas Mexico	15	372	239	162	149	112	42	715
Weibing Guan China	18	565 1.5×	116 0.5×	230 1.4×	319 2.1×	101 0.9×	63	931
Ute Daewel Germany	20	599 1.6×	642 2.7×	210 1.3×	361 2.4×	86 0.8×	56	1.1k
Magda C. Sousa Portugal	20	578 1.6×	402 1.7×	214 1.3×	266 1.8×	32 0.3×	55	987
Iona Athanasia Greece	11	569 1.5×	367 1.5×	147 0.9×	189 1.3×	23 0.2×	16	811
Wen Long United States	15	425 1.1×	190 0.8×	92 0.6×	209 1.4×	108 1.0×	31	712
Tomas Lovato Italy	15	384 1.0×	611 2.6×	338 2.1×	187 1.3×	52 0.5×	28	935
Bang Yong Lee South Korea	15	172 0.5×	201 0.8×	338 2.1×	154 1.0×	87 0.8×	44	655
Cecilia Enríquez Mexico	16	383 1.0×	215 0.9×	206 1.3×	320 2.1×	38 0.3×	50	870
Danling Tang China	16	394 1.1×	214 0.9×	227 1.4×	162 1.1×	59 0.5×	33	687

Countries citing papers authored by David Rivas

Since Specialization

Citations

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

Fields of papers citing papers by David Rivas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Rivas

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

All Works

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20 of 20 papers shown

Steenbeek, Jeroen, Pablo Ortega, Raffaele Bernardello, et al.. (2024). Making Ecosystem Modeling Operational–A Novel Distributed Execution Framework to Systematically Explore Ecological Responses to Divergent Climate Trajectories. Earth s Future. 12(3). 5 indexed citations

Koseki, Shunya, et al.. (2024). Assessing the tropical Atlantic biogeochemical processes in the Norwegian Earth System Model. Biogeosciences. 21(18). 4149–4168.

Venegas, Roberto M., David Rivas, & Eric A. Treml. (2024). Global climate-driven sea surface temperature and chlorophyll dynamics. Marine Environmental Research. 204. 106856–106856. 4 indexed citations

Caballero‐Briones, F., et al.. (2023). Red ciudadana de monitoreo de la calidad del aire de la zona metropolitana del sur de Tamaulipas. 6(2). 133–155.

Rivas, David, et al.. (2022). Formation of a subsurface anticyclonic eddy from the California Undercurrent off northwestern Baja California, Mexico. Journal of Marine Systems. 228. 103707–103707. 2 indexed citations

Alegría‐Arzaburu, Amaia Ruiz de, et al.. (2022). Nearshore current variations during the passage of cold fronts in NW Gulf of Mexico. Continental Shelf Research. 238. 104697–104697. 6 indexed citations

García‐Mendoza, Ernesto, et al.. (2021). Distribution of Gymnodinium catenatum Graham cysts and its relation to harmful algae blooms in the northern Gulf of California. Journal of the Marine Biological Association of the United Kingdom. 101(6). 895–909. 10 indexed citations

Iglesias, Eva, et al.. (2019). Assessment of macrophyte Typha spp invasion in the Hadejia Valley Irrigation Scheme using WorldView-2 satellite image analysis. EGU General Assembly Conference Abstracts. 18599. 1 indexed citations

Buttner, Mark P., et al.. (2018). Variation in airborne pollen concentrations among five monitoring locations in a desert urban environment. Environmental Monitoring and Assessment. 190(7). 424–424. 12 indexed citations

10.

Buttner, Mark J., et al.. (2018). Variation in airborne fungal spore concentrations among five monitoring locations in a desert urban environment. Environmental Monitoring and Assessment. 190(11). 634–634. 32 indexed citations

11.

Reimer, Janet J., et al.. (2015). Sea Surface Temperature Influence on Terrestrial Gross Primary Production along the Southern California Current. PLoS ONE. 10(4). e0125177–e0125177. 12 indexed citations

12.

Rivas, David, et al.. (2015). An assessment of wind power potential along the coast of Tamaulipas, northeastern Mexico. Renewable Energy. 78. 295–305. 48 indexed citations

13.

García‐Mendoza, Ernesto, Andrew D. Turner, Juan Blanco, et al.. (2014). Lipophilic toxins in cultivated mussels (Mytilus galloprovincialis) from Baja California, Mexico. Toxicon. 90. 111–123. 28 indexed citations

14.

Yao, Fengchao, Ibrahim Hoteit, Larry J. Pratt, et al.. (2014). Seasonal overturning circulation in the Red Sea: 2. Winter circulation. Journal of Geophysical Research Oceans. 119(4). 2263–2289. 106 indexed citations

15.

Sheinbaum, Julio, et al.. (2007). Full-Water Column Current Observations in the Central Gulf of Mexico: Final Report. University of North Texas Digital Library (University of North Texas). 4 indexed citations

16.

Lamberti, F., et al.. (2001). Plant parasitic nematodes associated with cocoa in Choroní, Cumboto and Cuyagua, Aragua State.. 14(1). 5–12. 2 indexed citations

17.

Greco, N., et al.. (1999). Research Notes: Patogenicidad del Nematodo Agallador, Meloidogyne incognita en Vigna unguiculata. Nematropica. 29(1). 99–103. 1 indexed citations

18.

Lamberti, F., et al.. (1998). PLANT PARASITIC NEMATODES ASSOCIATED WITH CITRUS IN VENEZUELA. Nematologia mediterranea. 26(1). 31–58. 7 indexed citations

19.

Greco, N., et al.. (1997). Patogenicidad del Nematodo Agallador, Meloidogyne incognita, en Cultivares de Phaseolus vulgaris y Vigna Unguiculata. Nematropica. 27(1). 61–67. 3 indexed citations

20.

Rivas, David, et al.. (1995). Research Notes: Manejo y Fluctuaciones Poblacionales de Helicotylenchus multicinctus y Meloidogyne incognita en Banano en Venezuela. Nematropica. 25(1). 61–66. 1 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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