Alexander Buevich

443 total citations
50 papers, 291 citations indexed

About

Alexander Buevich is a scholar working on Environmental Engineering, Global and Planetary Change and Artificial Intelligence. According to data from OpenAlex, Alexander Buevich has authored 50 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Environmental Engineering, 25 papers in Global and Planetary Change and 23 papers in Artificial Intelligence. Recurrent topics in Alexander Buevich's work include Atmospheric and Environmental Gas Dynamics (23 papers), Geochemistry and Geologic Mapping (22 papers) and Soil Geostatistics and Mapping (20 papers). Alexander Buevich is often cited by papers focused on Atmospheric and Environmental Gas Dynamics (23 papers), Geochemistry and Geologic Mapping (22 papers) and Soil Geostatistics and Mapping (20 papers). Alexander Buevich collaborates with scholars based in Russia and Bulgaria. Alexander Buevich's co-authors include Alexander Sergeev, Alexander Medvedev, Irina Subbotina, Георги Димитров, Alexandra I. Kosachenko and O. Lvova and has published in prestigious journals such as CATENA, Applied Geochemistry and Neural Computing and Applications.

In The Last Decade

Alexander Buevich

36 papers receiving 277 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 Buevich Russia 8 140 105 74 46 39 50 291
Michel Roddy Lollchund Mauritius 12 148 1.1× 80 0.8× 61 0.8× 60 1.3× 35 0.9× 36 490
Rulin Xiao China 8 64 0.5× 42 0.4× 88 1.2× 67 1.5× 54 1.4× 20 448
Rida Azmi Morocco 9 126 0.9× 56 0.5× 93 1.3× 34 0.7× 49 1.3× 38 372
Shihao Wang China 14 144 1.0× 130 1.2× 118 1.6× 35 0.8× 74 1.9× 37 507
Xiaoyan Zhao China 11 51 0.4× 82 0.8× 59 0.8× 129 2.8× 34 0.9× 54 523
Cristian Ștefan Dumitriu Romania 10 64 0.5× 51 0.5× 51 0.7× 81 1.8× 33 0.8× 41 300
Emre Tercan Türkiye 11 76 0.5× 73 0.7× 69 0.9× 59 1.3× 12 0.3× 24 463
Fatih Gülgen Türkiye 11 74 0.5× 49 0.5× 112 1.5× 12 0.3× 25 0.6× 33 297
Xiaosheng Liu China 10 33 0.2× 52 0.5× 57 0.8× 50 1.1× 17 0.4× 34 361

Countries citing papers authored by Alexander Buevich

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Buevich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Buevich

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Buevich. A scholar is included among the top collaborators of Alexander Buevich 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 Buevich. Alexander Buevich 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
2.
Sergeev, Alexander, et al.. (2024). Using land use methodology to construct ring spatial variables for modeling and mapping spatial distribution of dust in snow cover. The European Physical Journal Special Topics. 234(15). 4607–4618.
4.
Buevich, Alexander, et al.. (2023). Stability of a Stationary Solution to One Class of Non-Autonomous Sobolev Type Equations. Bulletin of the South Ural State University Series Mathematical Modelling Programming and Computer Software. 16(3).
6.
Sergeev, Alexander, et al.. (2021). The extraction of the training subset for the spatial distribution modelling of the heavy metals in topsoil. CATENA. 207. 105699–105699. 8 indexed citations
9.
Buevich, Alexander, et al.. (2019). Training algorithms for artificial neural networks for time series forecasting of greenhouse gas concentrations. AIP conference proceedings. 2133. 200019–200019. 2 indexed citations
10.
Buevich, Alexander, et al.. (2019). Statistical characteristics calculation of the natural dust size distribution in the air surface layer of Belyy Island. AIP conference proceedings. 2186. 50012–50012. 1 indexed citations
11.
Buevich, Alexander, et al.. (2018). Some results of greenhouse gases monitoring in the Arctic region of Russia. Arctic Ecology and Economy. 56–67. 7 indexed citations
13.
Buevich, Alexander, et al.. (2018). Forecasting of spatial variable by the models based on artificial neural networks on an example of heavy metal content in topsoil. AIP conference proceedings. 2040. 50007–50007. 2 indexed citations
14.
Sergeev, Alexander, et al.. (2018). Combining spatial autocorrelation with machine learning increases prediction accuracy of soil heavy metals. CATENA. 174. 425–435. 85 indexed citations
16.
Buevich, Alexander, et al.. (2017). Topsoil pollution forecasting using artificial neural networks on the example of the abnormally distributed heavy metal at Russian subarctic. AIP conference proceedings. 1836. 20024–20024. 1 indexed citations
17.
Medvedev, Alexander, et al.. (2017). Review and possible development direction of the methods for modeling of soil pollutants spatial distribution. AIP conference proceedings. 1863. 50014–50014. 4 indexed citations
18.
Buevich, Alexander, et al.. (2017). High variation topsoil pollution forecasting in the Russian Subarctic: Using artificial neural networks combined with residual kriging. Applied Geochemistry. 88. 188–197. 48 indexed citations
19.
Medvedev, Alexander, et al.. (2017). A hybrid method for assessment of soil pollutants spatial distribution. AIP conference proceedings. 6 indexed citations
20.
Buevich, Alexander, et al.. (2016). Modeling of surface dust concentrations using neural networks and kriging. AIP conference proceedings. 1789. 20004–20004. 4 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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