Iván Valiela

23.8k total citations · 4 hit papers
274 papers, 18.2k citations indexed

About

Iván Valiela is a scholar working on Ecology, Oceanography and Global and Planetary Change. According to data from OpenAlex, Iván Valiela has authored 274 papers receiving a total of 18.2k indexed citations (citations by other indexed papers that have themselves been cited), including 184 papers in Ecology, 136 papers in Oceanography and 66 papers in Global and Planetary Change. Recurrent topics in Iván Valiela's work include Coastal wetland ecosystem dynamics (108 papers), Isotope Analysis in Ecology (73 papers) and Marine and coastal plant biology (64 papers). Iván Valiela is often cited by papers focused on Coastal wetland ecosystem dynamics (108 papers), Isotope Analysis in Ecology (73 papers) and Marine and coastal plant biology (64 papers). Iván Valiela collaborates with scholars based in United States, Argentina and Portugal. Iván Valiela's co-authors include John M. Teal, J. W. McClelland, Jennifer L. Bowen, Joanna K. York, Jennifer Hauxwell, K. Foreman, Just Cebrián, Marci L. Cole, Ruth H. Carmichael and Robert H. Michener and has published in prestigious journals such as Nature, Ecology and The Science of The Total Environment.

In The Last Decade

Iván Valiela

273 papers receiving 16.6k citations

Hit Papers

Mangrove Forests: One of the World's Threatened Major Tro... 1995 2026 2005 2015 2001 1997 1995 1997 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Iván Valiela United States 67 11.9k 8.8k 4.5k 2.6k 1.5k 274 18.2k
R. Eugene Turner United States 70 8.5k 0.7× 9.0k 1.0× 4.5k 1.0× 5.3k 2.1× 2.3k 1.5× 236 19.6k
Erik Kristensen Denmark 63 8.7k 0.7× 5.9k 0.7× 2.8k 0.6× 2.1k 0.8× 1.4k 0.9× 210 13.6k
C. Hopkinson United States 53 5.9k 0.5× 4.8k 0.5× 2.4k 0.5× 2.9k 1.1× 1.1k 0.7× 140 11.3k
Steven Bouillon Belgium 51 9.4k 0.8× 5.0k 0.6× 3.2k 0.7× 1.9k 0.8× 2.0k 1.3× 149 13.1k
Nancy N. Rabalais United States 64 6.7k 0.6× 10.9k 1.2× 4.7k 1.0× 5.4k 2.1× 549 0.4× 168 18.6k
Bruce J. Peterson United States 59 11.9k 1.0× 6.7k 0.8× 4.8k 1.1× 5.7k 2.2× 546 0.4× 105 20.5k
Brian Fry United States 60 13.7k 1.2× 5.5k 0.6× 5.8k 1.3× 1.9k 0.8× 294 0.2× 141 17.4k
Jeffrey E. Richey United States 58 4.9k 0.4× 5.7k 0.7× 3.6k 0.8× 3.4k 1.3× 777 0.5× 133 12.4k
William C. Dennison United States 55 11.7k 1.0× 12.5k 1.4× 4.1k 0.9× 2.1k 0.8× 524 0.3× 116 17.8k
Patrick Meire Belgium 55 6.2k 0.5× 2.1k 0.2× 2.5k 0.6× 1.4k 0.5× 2.8k 1.8× 353 11.3k

Countries citing papers authored by Iván Valiela

Since Specialization
Citations

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

Fields of papers citing papers by Iván Valiela

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iván Valiela

This figure shows the co-authorship network connecting the top 25 collaborators of Iván Valiela. A scholar is included among the top collaborators of Iván Valiela 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 Iván Valiela. Iván Valiela 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
3.
Lloret, Javier, et al.. (2022). Decadal trajectories of land-sea couplings: Nitrogen loads and interception in New England watersheds, discharges to estuaries, and water quality effects. Estuarine Coastal and Shelf Science. 277. 108057–108057. 4 indexed citations
4.
Lloret, Javier, et al.. (2021). Salt marsh sediments act as sinks for microplastics and reveal effects of current and historical land use changes. Environmental Advances. 4. 100060–100060. 39 indexed citations
5.
Valiela, Iván, et al.. (2020). Water quality, nutrients, and stable isotopic signatures of particulates and vegetation in a mangrove ecosystem exposed to past anthropogenic perturbations. Regional Studies in Marine Science. 35. 101208–101208. 8 indexed citations
6.
Valiela, Iván, et al.. (2018). Tropical land-sea couplings: Role of watershed deforestation, mangrove estuary processing, and marine inputs on N fluxes in coastal Pacific Panama. The Science of The Total Environment. 630. 126–140. 13 indexed citations
7.
Valiela, Iván, et al.. (2018). Transient coastal landscapes: Rising sea level threatens salt marshes. The Science of The Total Environment. 640-641. 1148–1156. 52 indexed citations
8.
Martin, Rose M., et al.. (2018). Long‐term nutrient addition increases respiration and nitrous oxide emissions in a New England salt marsh. Ecology and Evolution. 8(10). 4958–4966. 23 indexed citations
9.
Valiela, Iván, et al.. (2018). Stable isotopic evidence of nitrogen sources and C4 metabolism driving the world’s largest macroalgal green tides in the Yellow Sea. Scientific Reports. 8(1). 17437–17437. 45 indexed citations
10.
11.
Bowen, Jennifer L., et al.. (2007). NLOAD: AN INTERACTIVE, WEB‐BASED MODELING TOOL FOR NITROGEN MANAGEMENT IN ESTUARIES. Ecological Applications. 17(sp5). 22 indexed citations
12.
Valiela, Iván & Jennifer L. Bowen. (2003). Shifts in Winter Distribution in Birds: Effects of Global Warming and Local Habitat Change. AMBIO. 32(7). 476–480. 38 indexed citations
13.
Carmichael, Ruth H., et al.. (2003). Nitrogen loading to Pleasant Bay, Cape Cod: application of models and stable isotopes to detect incipient nutrient enrichment of estuaries. Marine Pollution Bulletin. 48(1-2). 137–143. 50 indexed citations
14.
Valiela, Iván. (1996). HURRICANE BOB ON CAPE COD. American Scientist. 10(2). 1026–165. 18 indexed citations
15.
Valiela, Iván, et al.. (1995). Controls of benthic marine food webs. Scientia Marina. 59(1). 119–128. 23 indexed citations
16.
Valiela, Iván, et al.. (1994). Dissolved Organic Nitrogen in Groundwater Bordering Estuaries of Waquoit Bay, Massachusetts: Relations with Watershed Landscape Mosaics. Biological Bulletin. 187(2). 278–279. 2 indexed citations
17.
Comı́n, Francisco A. & Iván Valiela. (1993). On the controls of phytoplankton abundance and production in coastal lagoons. Journal of Coastal Research. 9(4). 895–926. 47 indexed citations
18.
White, David S., Charlene D'avanzo, Iván Valiela, Carlos A. Lasta, & Miguel Pascual. (1986). The relationship of diet to growth and ammonium excretion in salt marsh fish. Environmental Biology of Fishes. 16(1-3). 105–112. 3 indexed citations
19.
Kaplan, Warren, John M. Teal, & Iván Valiela. (1977). Denitrification in salt marsh sediments: Evidence for seasonal temperature selection among populations of denitrifiers. Microbial Ecology. 3(3). 193–204. 33 indexed citations
20.
Valiela, Iván, et al.. (1974). The effect of detritus and ration size on the growth of Fundulus heteroclitus (L.). Journal of Experimental Marine Biology and Ecology. 16(1). 1–10. 67 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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