Otto Alvarez

645 total citations
8 papers, 517 citations indexed

About

Otto Alvarez is a scholar working on Global and Planetary Change, Ecological Modeling and Environmental Engineering. According to data from OpenAlex, Otto Alvarez has authored 8 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Global and Planetary Change, 3 papers in Ecological Modeling and 3 papers in Environmental Engineering. Recurrent topics in Otto Alvarez's work include Species Distribution and Climate Change (3 papers), Forest ecology and management (2 papers) and Remote Sensing and LiDAR Applications (2 papers). Otto Alvarez is often cited by papers focused on Species Distribution and Climate Change (3 papers), Forest ecology and management (2 papers) and Remote Sensing and LiDAR Applications (2 papers). Otto Alvarez collaborates with scholars based in United States, China and Ukraine. Otto Alvarez's co-authors include Qinghua Guo, Wenkai Li, Jingyun Fang, Baolin Xue, Shengli Tao, Yanjun Su, Tianyu Hu, Paul J. Doherty, R Klinger and Miguel Fernández and has published in prestigious journals such as Remote Sensing of Environment, International Journal of Climatology and Ecological Modelling.

In The Last Decade

Otto Alvarez

7 papers receiving 502 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Otto Alvarez United States	5	396	244	192	145	68	8	517
Paweł Hawryło Poland	13	312 0.8×	281 1.2×	203 1.1×	225 1.6×	43 0.6×	43	552
Franklin B. Sullivan United States	12	336 0.8×	195 0.8×	172 0.9×	133 0.9×	39 0.6×	22	508
Sheng Nie China	12	483 1.2×	486 2.0×	164 0.9×	211 1.5×	86 1.3×	16	691
L. Spaete United States	13	419 1.1×	379 1.6×	151 0.8×	268 1.8×	63 0.9×	24	676
Christopher Hopkinson Canada	13	282 0.7×	315 1.3×	109 0.6×	227 1.6×	40 0.6×	19	553
K. Kovacs United States	7	389 1.0×	292 1.2×	178 0.9×	181 1.2×	40 0.6×	14	618
Anders Siggins Australia	7	357 0.9×	181 0.7×	316 1.6×	204 1.4×	48 0.7×	9	547
Matthew Brolly United Kingdom	10	436 1.1×	361 1.5×	158 0.8×	158 1.1×	20 0.3×	26	557
F. G. Gonçalves Brazil	13	315 0.8×	182 0.7×	153 0.8×	143 1.0×	28 0.4×	38	523
Victoria Meyer United States	13	455 1.1×	317 1.3×	383 2.0×	316 2.2×	31 0.5×	18	746

Countries citing papers authored by Otto Alvarez

Since Specialization

Citations

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

Fields of papers citing papers by Otto Alvarez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Otto Alvarez

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

All Works

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8 of 8 papers shown

Slessarev, Eric, Boris Faybishenko, Dipankar Dwivedi, et al.. (2024). Application of the DRASTIC Model to Assess the Vulnerability of Groundwater Contamination Near Zaporizhzhia Nuclear Power Plant, Ukraine. ACS ES&T Water. 5(1). 366–376.

Gowardhan, Akshay, et al.. (2021). Large Eddy Simulations of Turbulent and Buoyant Flows in Urban and Complex Terrain Areas Using the Aeolus Model. Atmosphere. 12(9). 1107–1107. 10 indexed citations

Alvarez, Otto, et al.. (2017). Climate change and tree-line ecosystems in the Sierra Nevada: Habitat suitability modelling to inform high-elevation forest dynamics monitoring. 1 indexed citations

Su, Yanjun, Qinghua Guo, Baolin Xue, et al.. (2015). Spatial distribution of forest aboveground biomass in China: Estimation through combination of spaceborne lidar, optical imagery, and forest inventory data. Remote Sensing of Environment. 173. 187–199. 208 indexed citations

Alvarez, Otto, Qinghua Guo, R Klinger, Wenkai Li, & Paul J. Doherty. (2013). Comparison of elevation and remote sensing derived products as auxiliary data for climate surface interpolation. International Journal of Climatology. 34(7). 2258–2268. 21 indexed citations

Fernández, Miguel, Healy Hamilton, Otto Alvarez, & Qinghua Guo. (2012). Does adding multi-scale climatic variability improve our capacity to explain niche transferability in invasive species?. Ecological Modelling. 246. 60–67. 9 indexed citations

Doherty, Paul J., Qinghua Guo, & Otto Alvarez. (2012). Expert versus Machine: A Comparison of Two Suitability Models for Emergency Helicopter Landing Areas in Yosemite National Park. The Professional Geographer. 65(3). 466–481. 4 indexed citations

Guo, Qinghua, et al.. (2010). Effects of Topographic Variability and Lidar Sampling Density on Several DEM Interpolation Methods. Photogrammetric Engineering & Remote Sensing. 76(6). 701–712. 264 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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