А. В. Елисеев

7.7k total citations
184 papers, 4.0k citations indexed

About

А. В. Елисеев is a scholar working on Global and Planetary Change, Atmospheric Science and Environmental Chemistry. According to data from OpenAlex, А. В. Елисеев has authored 184 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Global and Planetary Change, 95 papers in Atmospheric Science and 24 papers in Environmental Chemistry. Recurrent topics in А. В. Елисеев's work include Atmospheric and Environmental Gas Dynamics (76 papers), Climate variability and models (59 papers) and Climate change and permafrost (29 papers). А. В. Елисеев is often cited by papers focused on Atmospheric and Environmental Gas Dynamics (76 papers), Climate variability and models (59 papers) and Climate change and permafrost (29 papers). А. В. Елисеев collaborates with scholars based in Russia, United States and Germany. А. В. Елисеев's co-authors include И. И. Мохов, Jean‐Maríe Lehn, Marina I. Nelen, Vladimir Petoukhov, Hans‐Joerg Schneider, Andrey Ganopolski, Martin Claußen, Stefan Rahmstorf, Claudia Kubatzki and Victor Brovkin and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

А. В. Елисеев

172 papers receiving 3.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
А. В. Елисеев Russia 29 1.5k 1.4k 1.1k 1.0k 762 184 4.0k
Sergio Gurrieri Italy 38 635 0.4× 788 0.6× 253 0.2× 481 0.5× 331 0.4× 111 4.2k
Franz M. Geiger United States 43 1.6k 1.1× 558 0.4× 290 0.3× 938 0.9× 897 1.2× 194 5.9k
Heather C. Allen United States 47 1.4k 0.9× 354 0.3× 484 0.4× 1.5k 1.5× 1.6k 2.1× 166 8.1k
Masataka Watanabe Japan 38 351 0.2× 924 0.7× 906 0.8× 704 0.7× 593 0.8× 240 5.1k
George C. Shields United States 40 1.5k 1.0× 244 0.2× 2.0k 1.8× 1.7k 1.7× 1.7k 2.2× 126 7.3k
Veronica Vaida United States 54 4.9k 3.3× 1.2k 0.8× 657 0.6× 423 0.4× 3.6k 4.7× 211 9.4k
Masami Sakamoto Japan 32 1.3k 0.9× 1.3k 0.9× 3.5k 3.2× 670 0.7× 911 1.2× 305 6.0k
Reginald H. Mitchell Canada 35 785 0.5× 230 0.2× 2.6k 2.3× 580 0.6× 652 0.9× 148 7.5k
Manuel F. Ruiz‐López France 48 1.2k 0.8× 163 0.1× 1.6k 1.5× 1.0k 1.0× 1.2k 1.6× 226 6.5k
Torren M. Peakman United Kingdom 25 258 0.2× 250 0.2× 2.1k 1.9× 995 1.0× 1.0k 1.4× 69 4.9k

Countries citing papers authored by А. В. Елисеев

Since Specialization
Citations

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

Fields of papers citing papers by А. В. Елисеев

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by А. В. Елисеев. 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 А. В. Елисеев. The network helps show where А. В. Елисеев may publish in the future.

Co-authorship network of co-authors of А. В. Елисеев

This figure shows the co-authorship network connecting the top 25 collaborators of А. В. Елисеев. A scholar is included among the top collaborators of А. В. Елисеев 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 А. В. Елисеев. А. В. Елисеев 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
1.
Denisov, S. N., А. В. Елисеев, & И. И. Мохов. (2024). Natural Sinks and Sources of CO2 and CH4 in the Atmosphere of Russian Regions and Their Contribution to Climate Change in the 21st Century Evaluated with the CMIP6 Model Ensemble. Izvestiya Atmospheric and Oceanic Physics. 60(2). 138–149. 1 indexed citations
2.
Akperov, Mirseid, Wenxin Zhang, Torben Koenigk, et al.. (2024). Projected changes in near-surface wind speed in the Arctic by a regional climate model. Polar Science. 43. 101162–101162. 1 indexed citations
3.
Елисеев, А. В., et al.. (2024). The Phase Shift between the Global Surface Temperature and the CO2 Content in the Atmosphere According to Simulations with the Ensemble of CMIP6 Models. Doklady Earth Sciences. 516(2). 1036–1041. 1 indexed citations
4.
Елисеев, А. В., et al.. (2024). Hysteretic Response of the Global Carbon Cycle to Anthropogenic CO2 Emissions into the Atmosphere. Izvestiya Atmospheric and Oceanic Physics. 60(3). 249–259. 1 indexed citations
5.
6.
Елисеев, А. В., et al.. (2023). Ensemble Modeling of Ice Sheet Dynamics in the Last Glacial Cycle. Doklady Earth Sciences. 510(1). 323–328. 1 indexed citations
7.
Елисеев, А. В., et al.. (2023). Model Estimate of the Acidity of Atmospheric Precipitation Acidity Due to Anthropogenic Sulfur Compounds in the 20th Century. Известия Российской академии наук Физика атмосферы и океана. 59(1). 61–70.
8.
Елисеев, А. В., et al.. (2021). ChAP 1.0: a stationary tropospheric sulfur cycle for Earth system models of intermediate complexity. Geoscientific model development. 14(12). 7725–7747. 5 indexed citations
9.
Denisov, S. N., А. В. Елисеев, & И. И. Мохов. (2019). Contribution of natural and anthropogenic emissions of CO2 and CH4 to the atmosphere from the territory of Russia to global climate change in the 21st century. Доклады Академии наук. 488(1). 74–80. 2 indexed citations
10.
Елисеев, А. В., Stefan Petri, Michael Flechsig, et al.. (2018). The dynamical core of the Aeolus 1.0 statistical–dynamical atmosphere model: validation and parameter optimization. Geoscientific model development. 11(2). 665–679. 2 indexed citations
11.
Елисеев, А. В.. (2018). GLOBAL METHANE CYCLE: A REVIEW. 1. 52–70. 8 indexed citations
12.
13.
Chernokulsky, А. V. & А. В. Елисеев. (2017). Climatology of cloud overlap parameter. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa. 14(1). 216–225. 1 indexed citations
14.
Елисеев, А. В., et al.. (2015). A lag between temperature and atmospheric CO2 concentration based on a simple coupled model of climate and the carbon cycle. Doklady Earth Sciences. 463(2). 863–867. 11 indexed citations
15.
Елисеев, А. В., Dim Coumou, А. V. Chernokulsky, Vladimir Petoukhov, & Stefan Petri. (2013). Scheme for calculation of multi-layer cloudiness and precipitation for climate models of intermediate complexity. Geoscientific model development. 6(5). 1745–1765. 12 indexed citations
16.
Мохов, И. И. & А. В. Елисеев. (2012). Modeling of global climate variations in the 20th–23rd centuries with new RCP scenarios of anthropogenic forcing. Doklady Earth Sciences. 443(2). 532–536. 43 indexed citations
17.
Arzhanov, M. M., et al.. (2008). Simulation of thermal and hydrological regimes of Siberian river watersheds under permafrost conditions from reanalysis data. Izvestiya Atmospheric and Oceanic Physics. 44(1). 83–89. 14 indexed citations
18.
Hochgürtel, Matthias, Heiko Kroth, Dorothea Piecha, et al.. (2002). Target-induced formation of neuraminidase inhibitors from in vitro virtual combinatorial libraries. Proceedings of the National Academy of Sciences. 99(6). 3382–3387. 118 indexed citations
19.
Menger, F. M., А. В. Елисеев, & Vasily A. Migulin. (1995). Phosphatase Catalysis Developed via Combinatorial Organic Chemistry. The Journal of Organic Chemistry. 60(21). 6666–6667. 82 indexed citations
20.
Гусев, А. В., et al.. (1986). Volatilization of silicon dioxide under low-pressure electrical-discharge conditions. 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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