Mikhail Dobrynin

2.5k total citations
39 papers, 890 citations indexed

About

Mikhail Dobrynin is a scholar working on Oceanography, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Mikhail Dobrynin has authored 39 papers receiving a total of 890 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Oceanography, 24 papers in Atmospheric Science and 23 papers in Global and Planetary Change. Recurrent topics in Mikhail Dobrynin's work include Climate variability and models (20 papers), Ocean Waves and Remote Sensing (15 papers) and Oceanographic and Atmospheric Processes (14 papers). Mikhail Dobrynin is often cited by papers focused on Climate variability and models (20 papers), Ocean Waves and Remote Sensing (15 papers) and Oceanographic and Atmospheric Processes (14 papers). Mikhail Dobrynin collaborates with scholars based in Germany, Netherlands and Portugal. Mikhail Dobrynin's co-authors include Johanna Baehr, Shuting Yang, Álvaro Semedo, Andrey Pleskachevsky, Heinz Günther, Gil Lemos, Pedro Miranda, Tatiana Ilyina, Emil V. Stanev and David Nielsen and has published in prestigious journals such as Journal of Climate, Geophysical Research Letters and Nature Climate Change.

In The Last Decade

Mikhail Dobrynin

38 papers receiving 873 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mikhail Dobrynin Germany 17 573 511 389 174 94 39 890
Mercè Casas‐Prat Spain 17 506 0.9× 533 1.0× 196 0.5× 358 2.1× 33 0.4× 24 791
David B. Fissel Canada 14 490 0.9× 272 0.5× 143 0.4× 68 0.4× 149 1.6× 73 643
Sebastian Grashorn Germany 9 319 0.6× 450 0.9× 140 0.4× 229 1.3× 37 0.4× 10 617
Laura Tuomi Finland 16 274 0.5× 578 1.1× 147 0.4× 260 1.5× 31 0.3× 54 719
Øyvind Sætra Norway 18 573 1.0× 568 1.1× 407 1.0× 143 0.8× 21 0.2× 37 895
Igor Kozlov Russia 17 493 0.9× 673 1.3× 150 0.4× 73 0.4× 197 2.1× 58 806
Iris Grabemann Germany 13 271 0.5× 418 0.8× 187 0.5× 365 2.1× 33 0.4× 25 742
Arthur Capet Belgium 14 183 0.3× 577 1.1× 221 0.6× 77 0.4× 50 0.5× 30 695
Jüri Elken Estonia 15 221 0.4× 602 1.2× 242 0.6× 43 0.2× 62 0.7× 46 714
Saeed Moghimi United States 15 496 0.9× 422 0.8× 259 0.7× 329 1.9× 18 0.2× 42 703

Countries citing papers authored by Mikhail Dobrynin

Since Specialization
Citations

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

Fields of papers citing papers by Mikhail Dobrynin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikhail Dobrynin

This figure shows the co-authorship network connecting the top 25 collaborators of Mikhail Dobrynin. A scholar is included among the top collaborators of Mikhail Dobrynin 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 Mikhail Dobrynin. Mikhail Dobrynin 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.
Nielsen, David, Joeran Maerz, Sebastian Brune, et al.. (2024). Addendum: Reduced Arctic Ocean CO2 uptake due to coastal permafrost erosion. Nature Climate Change. 14(9). 1003–1003. 1 indexed citations
2.
Semedo, Álvaro, Melisa Menéndez, Gil Lemos, et al.. (2023). On the assessment of the wave modeling uncertainty in wave climate projections. Environmental Research Letters. 18(12). 124006–124006. 7 indexed citations
3.
Nielsen, David, Armineh Barkhordarian, Pier Paul Overduin, et al.. (2022). Increase in Arctic coastal erosion and its sensitivity to warming in the twenty-first century. Nature Climate Change. 12(3). 263–270. 93 indexed citations
4.
Dobrynin, Mikhail, André Düsterhus, Kristina Fröhlich, et al.. (2022). Hidden Potential in Predicting Wintertime Temperature Anomalies in the Northern Hemisphere. Geophysical Research Letters. 49(20). 6 indexed citations
5.
Fröhlich, Kristina, Mikhail Dobrynin, Claudia Gessner, et al.. (2021). The German Climate Forecast System: GCFS. Journal of Advances in Modeling Earth Systems. 13(2). 44 indexed citations
6.
Borchert, Leonard, et al.. (2021). Subtle influence of the Atlantic Meridional Overturning Circulation (AMOC) on seasonal sea surface temperature (SST) hindcast skill in the North Atlantic. Weather and Climate Dynamics. 2(3). 739–757. 4 indexed citations
7.
Afargan‐Gerstman, Hilla, Daniela I. V. Domeisen, Martin P. King, et al.. (2021). Predictors and prediction skill for marine cold‐air outbreaks over the Barents Sea. Quarterly Journal of the Royal Meteorological Society. 147(738). 2638–2656. 8 indexed citations
8.
Dobrynin, Mikhail, et al.. (2020). Seasonal Forecasts of Winter Temperature Improved by Higher‐Order Modes of Mean Sea Level Pressure Variability in the North Atlantic Sector. Geophysical Research Letters. 47(16). 5 indexed citations
9.
Ilyina, Tatiana, Hongmei Li, Aaron Spring, et al.. (2020). Predictable Variations of the Carbon Sinks and Atmospheric CO2 Growth in a Multi‐Model Framework. Geophysical Research Letters. 48(6). 16 indexed citations
10.
Afargan‐Gerstman, Hilla, Daniela I. V. Domeisen, Paolo Ruggieri, et al.. (2020). Autumn Arctic predictors and predictions for winter marine cold air outbreaks over the Barents Sea. 1 indexed citations
11.
Domeisen, Daniela I. V., Hilla Afargan‐Gerstman, Johanna Baehr, et al.. (2020). Prospects for predicting the type and timing of the surface response after stratospheric events. 1 indexed citations
12.
Dobrynin, Mikhail, et al.. (2019). Skilful Seasonal Prediction of Ocean Surface Waves in the Atlantic Ocean. Geophysical Research Letters. 46(3). 1731–1739. 6 indexed citations
13.
Dobrynin, Mikhail, Daniela I. V. Domeisen, Wolfgang A. Müller, et al.. (2018). Improved Teleconnection‐Based Dynamical Seasonal Predictions of Boreal Winter. Geophysical Research Letters. 45(8). 3605–3614. 57 indexed citations
14.
Düsterhus, André, Mikhail Dobrynin, Daniela I. V. Domeisen, et al.. (2017). A statistical-dynamical seasonal prediction of the Summer North Atlantic Oscillation. EGUGA. 7153. 1 indexed citations
15.
Dobrynin, Mikhail, Daniela I. V. Domeisen, Wolfgang A. Müller, et al.. (2016). Improved seasonal prediction of winter NAO through ensemble sub-sampling.. EGUGA. 1 indexed citations
16.
Dobrynin, Mikhail & Thomas Pohlmann. (2015). Anomalous hydrographic conditions in the western Barents Sea observed in March 2014. Continental Shelf Research. 111. 69–82. 2 indexed citations
17.
Dobrynin, Mikhail, Jens Murawski, Johanna Baehr, & Tatiana Ilyina. (2014). Detection and Attribution of Climate Change Signal in Ocean Wind Waves. Journal of Climate. 28(4). 1578–1591. 36 indexed citations
18.
She, Jun, et al.. (2012). A 20-year reanalysis experiment in the Baltic Sea using three-dimensional variational (3DVAR) method. Ocean science. 8(5). 827–844. 28 indexed citations
19.
Dobrynin, Mikhail, et al.. (2009). Dynamics of suspended particulate matter in the Yellow Sea investigated by the ensemble of numerical models and satellite data.. EGUGA. 7004. 1 indexed citations
20.
Dobrynin, Mikhail, Heinz Günther, & Gerhard Gayer. (2008). Assimilation of satellite data in a Suspended Particulate Matter transport model. 1–4. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Mercè Casas‐Prat Breakdown of academic impact, for papers by David B. Fissel Breakdown of academic impact, for papers by Sebastian Grashorn Breakdown of academic impact, for papers by Laura Tuomi Breakdown of academic impact, for papers by Øyvind Sætra Breakdown of academic impact, for papers by Igor Kozlov Breakdown of academic impact, for papers by Iris Grabemann Breakdown of academic impact, for papers by Arthur Capet Breakdown of academic impact, for papers by Jüri Elken Breakdown of academic impact, for papers by Saeed Moghimi
Rankless by CCL
2026