Alexander Krylov

1.5k total citations
18 papers, 921 citations indexed

About

Alexander Krylov is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Alexander Krylov has authored 18 papers receiving a total of 921 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Ecology, 10 papers in Global and Planetary Change and 8 papers in Environmental Engineering. Recurrent topics in Alexander Krylov's work include Remote Sensing in Agriculture (8 papers), Remote Sensing and LiDAR Applications (8 papers) and Land Use and Ecosystem Services (6 papers). Alexander Krylov is often cited by papers focused on Remote Sensing in Agriculture (8 papers), Remote Sensing and LiDAR Applications (8 papers) and Land Use and Ecosystem Services (6 papers). Alexander Krylov collaborates with scholars based in United States, Russia and Argentina. Alexander Krylov's co-authors include Peter Potapov, Matthew C. Hansen, Alexandra Tyukavina, Svetlana Turubanova, Stephen V. Stehman, Bernard Adusei, Carlos M. Di Bella, LeeAnn King, Xiao‐Peng Song and Tatiana Loboda and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Remote Sensing.

In The Last Decade

Alexander Krylov

17 papers receiving 898 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander Krylov United States 11 605 569 336 173 118 18 921
Xiaoye Tong Denmark 17 509 0.8× 606 1.1× 332 1.0× 207 1.2× 148 1.3× 30 1.1k
Yunxiang Jin China 16 656 1.1× 559 1.0× 275 0.8× 161 0.9× 100 0.8× 33 1.0k
Yanlei Chen China 8 505 0.8× 498 0.9× 248 0.7× 180 1.0× 72 0.6× 17 809
Sarah Asam Germany 17 547 0.9× 397 0.7× 276 0.8× 158 0.9× 93 0.8× 41 835
Mercedes Berterretche United States 6 584 1.0× 356 0.6× 461 1.4× 95 0.5× 204 1.7× 6 827
Luc Bertels Belgium 9 403 0.7× 464 0.8× 229 0.7× 173 1.0× 73 0.6× 24 838
Tatiana Mora Kuplich Brazil 14 424 0.7× 243 0.4× 378 1.1× 98 0.6× 160 1.4× 57 807
Agata Hościło Poland 11 621 1.0× 553 1.0× 223 0.7× 126 0.7× 89 0.8× 31 891
James D. Shepherd New Zealand 15 546 0.9× 361 0.6× 284 0.8× 147 0.8× 121 1.0× 41 905
Amy Hudson United States 9 416 0.7× 489 0.9× 162 0.5× 206 1.2× 74 0.6× 23 778

Countries citing papers authored by Alexander Krylov

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Krylov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Krylov

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

All Works

18 of 18 papers shown
1.
Косолапов, Д. Б., et al.. (2023). Biodiversity of aquatic organisms in the Mekong Delta, Vietnam. ZooKeys. 11. e105314–e105314. 1 indexed citations
2.
Krylov, Alexander, et al.. (2019). Zooplankton of the channel zone of reservoirs of the arid zone: effects of level regime and meteorological conditions. SHILAP Revista de lepidopterología. 2(1). 1 indexed citations
3.
Khan, Ahmad, Matthew C. Hansen, Peter Potapov, et al.. (2018). Evaluating Landsat and RapidEye Data for Winter Wheat Mapping and Area Estimation in Punjab, Pakistan. Remote Sensing. 10(4). 489–489. 29 indexed citations
4.
Krylov, Alexander, Marc K. Steininger, Matthew C. Hansen, et al.. (2018). Contrasting tree-cover loss and subsequent land cover in two neotropical forest regions: sample-based assessment of the Mexican Yucatán and Argentine Chaco. Journal of Land Use Science. 13(6). 549–564. 12 indexed citations
5.
King, LeeAnn, Bernard Adusei, Stephen V. Stehman, et al.. (2017). A multi-resolution approach to national-scale cultivated area estimation of soybean. Remote Sensing of Environment. 195. 13–29. 61 indexed citations
6.
Shuman, J. K., Adrianna Foster, Herman H. Shugart, et al.. (2017). Fire disturbance and climate change: implications for Russian forests. Environmental Research Letters. 12(3). 35003–35003. 47 indexed citations
7.
Song, Xiao‐Peng, Peter Potapov, Alexander Krylov, et al.. (2017). National-scale soybean mapping and area estimation in the United States using medium resolution satellite imagery and field survey. Remote Sensing of Environment. 190. 383–395. 196 indexed citations
8.
Hansen, Matthew C., Alexander Krylov, Alexandra Tyukavina, et al.. (2016). Humid tropical forest disturbance alerts using Landsat data. Environmental Research Letters. 11(3). 34008–34008. 210 indexed citations
9.
Krylov, Alexander, et al.. (2016). Ridge-based method for pemphigus diagnosis on immunofluorescence images. 170–174. 1 indexed citations
10.
Chen, Dong, Tatiana Loboda, Alexander Krylov, & Peter Potapov. (2016). Mapping stand age dynamics of the Siberian larch forests from recent Landsat observations. Remote Sensing of Environment. 187. 320–331. 19 indexed citations
11.
Chen, Dong, Tatiana Loboda, Alexander Krylov, & Peter Potapov. (2016). Distribution of Estimated Stand Age Across Siberian Larch Forests, 1989-2012. Oak Ridge National Laboratory Distributed Active Archive Center for Biogeochemical Dynamics. 3 indexed citations
12.
Alix‐Garcia, Jennifer, Catalina Munteanu, Na Zhao, et al.. (2016). Drivers of forest cover change in Eastern Europe and European Russia, 1985–2012. Land Use Policy. 59. 284–297. 41 indexed citations
13.
Hansen, Matthew C., Peter Potapov, S. J. Goetz, et al.. (2016). Mapping tree height distributions in Sub-Saharan Africa using Landsat 7 and 8 data. Remote Sensing of Environment. 185. 221–232. 120 indexed citations
14.
Turubanova, Svetlana, Peter Potapov, Alexander Krylov, et al.. (2015). Using the Landsat data archive to assess long-term regional forest dynamics assessment in Eastern Europe, 1985-2012. SHILAP Revista de lepidopterología. XL-7/W3. 531–537. 10 indexed citations
15.
Chen, Dong, Tatiana Loboda, Alexander Krylov, & Peter Potapov. (2014). Mapping post-disturbance stand age distribution in Siberian larch forest based on a novel method. AGU Fall Meeting Abstracts. 2014.
16.
Baumann, Matthias, et al.. (2014). Landsat remote sensing of forest windfall disturbance. Remote Sensing of Environment. 143. 171–179. 79 indexed citations
17.
Krylov, Alexander, J. L. McCarty, Peter Potapov, et al.. (2014). Remote sensing estimates of stand-replacement fires in Russia, 2002–2011. Environmental Research Letters. 9(10). 105007–105007. 90 indexed citations
18.
Lipunov, V., Alexander Krylov, V. Kornilov, et al.. (2005). Supernovae 2005bv and 2005bw. 8520. 1. 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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