Diego Riveros‐Iregui

1.9k total citations
55 papers, 1.3k citations indexed

About

Diego Riveros‐Iregui is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science. According to data from OpenAlex, Diego Riveros‐Iregui has authored 55 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Global and Planetary Change, 18 papers in Water Science and Technology and 16 papers in Atmospheric Science. Recurrent topics in Diego Riveros‐Iregui's work include Hydrology and Watershed Management Studies (15 papers), Plant Water Relations and Carbon Dynamics (14 papers) and Atmospheric and Environmental Gas Dynamics (9 papers). Diego Riveros‐Iregui is often cited by papers focused on Hydrology and Watershed Management Studies (15 papers), Plant Water Relations and Carbon Dynamics (14 papers) and Atmospheric and Environmental Gas Dynamics (9 papers). Diego Riveros‐Iregui collaborates with scholars based in United States, Ecuador and Sweden. Diego Riveros‐Iregui's co-authors include B. L. McGlynn, Howard E. Epstein, D. L. Welsch, R. E. Emanuel, V. J. Pacific, Jia Hu, Amy J. Burgin, Caroline A. Davis, Adam S. Ward and Marty St. Clair and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Environmental Science & Technology and The Science of The Total Environment.

In The Last Decade

Diego Riveros‐Iregui

50 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diego Riveros‐Iregui United States 21 638 421 363 330 286 55 1.3k
Carlos Valarezo Ecuador 19 411 0.6× 330 0.8× 370 1.0× 180 0.5× 214 0.7× 28 1.2k
Karin T. Rebel Netherlands 17 633 1.0× 278 0.7× 246 0.7× 230 0.7× 343 1.2× 42 1.1k
Lisa Kellman Canada 23 470 0.7× 156 0.4× 643 1.8× 330 1.0× 519 1.8× 41 1.6k
Tom Hatton Australia 19 888 1.4× 543 1.3× 263 0.7× 294 0.9× 268 0.9× 35 1.4k
Kara L. Webster Canada 24 447 0.7× 233 0.6× 233 0.6× 308 0.9× 719 2.5× 66 1.3k
Sue White United Kingdom 20 528 0.8× 748 1.8× 485 1.3× 325 1.0× 385 1.3× 43 1.5k
Zhiyong Fu China 18 348 0.5× 442 1.0× 611 1.7× 228 0.7× 411 1.4× 50 1.6k
Gavan McGrath Australia 20 372 0.6× 344 0.8× 166 0.5× 138 0.4× 183 0.6× 47 984
Zhongbao Xin China 20 572 0.9× 410 1.0× 709 2.0× 329 1.0× 660 2.3× 48 1.6k
Xinxiao Yu China 14 443 0.7× 290 0.7× 309 0.9× 108 0.3× 218 0.8× 43 918

Countries citing papers authored by Diego Riveros‐Iregui

Since Specialization
Citations

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

Fields of papers citing papers by Diego Riveros‐Iregui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diego Riveros‐Iregui. 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 Riveros‐Iregui. The network helps show where Diego Riveros‐Iregui may publish in the future.

Co-authorship network of co-authors of Diego Riveros‐Iregui

This figure shows the co-authorship network connecting the top 25 collaborators of Diego Riveros‐Iregui. A scholar is included among the top collaborators of Diego Riveros‐Iregui 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 Riveros‐Iregui. Diego Riveros‐Iregui 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
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Sudduth, Elizabeth B., et al.. (2024). Urban beaver ponds show limited impact on stream carbon quantity in contrast to stormwater ponds. Urban Ecosystems. 27(5). 1477–1491. 1 indexed citations
4.
Murray, Andrew, Alex Hall, & Diego Riveros‐Iregui. (2024). Considering Monitoring Well Bias in the Delineation of Benzene Plume Lengths. Journal of Environmental Engineering. 150(10). 1 indexed citations
5.
Suárez, Esteban, et al.. (2023). On the Use of “Alpine” for High-Elevation Tropical Environments. Mountain Research and Development. 43(1). 2 indexed citations
6.
Schoenborn, Alexi A., Kevin S. Bonham, Antonio León-Reyes, et al.. (2023). Microclimate is a strong predictor of the native and invasive plant‐associated soil microbiome on San Cristóbal Island, Galápagos archipelago. Environmental Microbiology. 25(8). 1377–1392. 3 indexed citations
7.
Mosquera, Giovanny M., Robert Hofstede, Leah L. Bremer, et al.. (2023). Frontiers in páramo water resources research: A multidisciplinary assessment. The Science of The Total Environment. 892. 164373–164373. 17 indexed citations
8.
Riveros‐Iregui, Diego, et al.. (2020). Temporal and spatial variability of shallow soil moisture across four planar hillslopes on a tropical ocean island, San Cristóbal, Galápagos. Journal of Hydrology Regional Studies. 30. 100692–100692. 5 indexed citations
9.
Tague, C., S. A. Papuga, Cynthia Gerlein‐Safdi, et al.. (2020). Adding our leaves: A community‐wide perspective on research directions in ecohydrology. Hydrological Processes. 34(7). 1665–1673. 7 indexed citations
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Epstein, Howard E., et al.. (2017). Complex terrain influences ecosystem carbon responses to temperature and precipitation. Global Biogeochemical Cycles. 31(8). 1306–1317. 19 indexed citations
12.
Riveros‐Iregui, Diego, et al.. (2016). Effects of land use on soil C02 flux in the Paramo de Guerrero, Colombia. Agronomía Colombiana. 34(3). 364–373. 10 indexed citations
13.
Manzoni, Stefano, et al.. (2015). Dynamic interactions of ecohydrological and biogeochemical processes in water-stressed environments. AGU Fall Meeting Abstracts. 2015. 1 indexed citations
14.
Riveros‐Iregui, Diego, et al.. (2013). Environmental and Groundwater Controls on Evaporation Rates of A Shallow Saline Lake in the Western Sandhills Nebraska, USA. AGU Fall Meeting Abstracts. 2013. 1 indexed citations
15.
Jones, Ryan T., Diego Riveros‐Iregui, John E. Dore, et al.. (2013). Soil bacterial and archaeal communities of the Stringer Creek Watershed in relation to soil moisture, chemistry, and gas fluxes. AGU Fall Meeting Abstracts. 2013. 1 indexed citations
16.
Seybold, Erin, Kendra E. Kaiser, B. L. McGlynn, et al.. (2012). Trace gas fluxes in complex terrain: The space-time dynamics of soil methane, carbon dioxide, and nitrous oxide. AGU Fall Meeting Abstracts. 2012.
17.
Riveros‐Iregui, Diego, Liqun Liang, R. E. Emanuel, et al.. (2012). Soil Carbon Transformation in Heterogeneous Landscapes. AGUFM. 2012.
18.
Pacific, V. J., B. L. McGlynn, Diego Riveros‐Iregui, D. L. Welsch, & Howard E. Epstein. (2010). Landscape structure, groundwater dynamics, and soil water content influence soil respiration across riparian–hillslope transitions in the Tenderfoot Creek Experimental Forest, Montana. Hydrological Processes. 25(5). 811–827. 44 indexed citations
19.
Pacific, V. J., B. L. McGlynn, Diego Riveros‐Iregui, Howard E. Epstein, & D. L. Welsch. (2009). Differential soil respiration responses to changing hydrologic regimes. Water Resources Research. 45(7). 44 indexed citations
20.
Riveros‐Iregui, Diego, B. L. McGlynn, Howard E. Epstein, & D. L. Welsch. (2008). Landscape Structure Controls Soil CO2 Efflux Variability in Complex Terrain: Scaling From Point Observations to Watershed Scale Fluxes. AGUFM. 2008. 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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