Mihai Alexe

1.8k total citations
13 papers, 208 citations indexed

About

Mihai Alexe is a scholar working on Atmospheric Science, Computational Mechanics and Global and Planetary Change. According to data from OpenAlex, Mihai Alexe has authored 13 papers receiving a total of 208 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Atmospheric Science, 5 papers in Computational Mechanics and 4 papers in Global and Planetary Change. Recurrent topics in Mihai Alexe's work include Meteorological Phenomena and Simulations (5 papers), Advanced Numerical Methods in Computational Mathematics (4 papers) and Numerical methods for differential equations (3 papers). Mihai Alexe is often cited by papers focused on Meteorological Phenomena and Simulations (5 papers), Advanced Numerical Methods in Computational Mathematics (4 papers) and Numerical methods for differential equations (3 papers). Mihai Alexe collaborates with scholars based in United States, United Kingdom and Italy. Mihai Alexe's co-authors include Adrian Sandu, Mohamed Jardak, Christian Frankenberg, P. Bergamaschi, Arjo Segers, Hartmut Boesch, E. A. Kort, Colm Sweeney, R. A. Scheepmaker and Haiyan Cheng and has published in prestigious journals such as Journal of Computational Physics, Atmospheric chemistry and physics and Applied Mathematics and Computation.

In The Last Decade

Mihai Alexe

12 papers receiving 199 citations

Peers

Mihai Alexe

AS

GPC

CM

EE

SNP

Doug Jacobsen United States

Renaud Marty France

Fei Liao China

E. I. Parmuzin Russia

Selime Gürol France

Slavko Brdar Germany

Andrew T. T. McRae United Kingdom

Javier Amezcua United Kingdom

Yuri N. Skiba Mexico

Justin Winokur United States

Doug Jacobsen United States

Mihai Alexe

219 ×1.5

AS

155 ×1.1

GPC

41 ×1.8

CM

15 ×0.7

EE

4 ×0.3

SNP

Citations per year, relative to Mihai Alexe Mihai Alexe (= 1×) peers Doug Jacobsen

Countries citing papers authored by Mihai Alexe

Since Specialization

Citations

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

Fields of papers citing papers by Mihai Alexe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mihai Alexe

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

All Works

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13 of 13 papers shown

1.

Nipen, Thomas N., Ivar A. Seierstad, Jørn Kristiansen, et al.. (2025). Regional data-driven weather modeling with a global stretched-grid. 2 indexed citations

2.

Ebel, Patrick, Rochelle Schneider, Massimo Bonavita, et al.. (2024). 2024 ESA-ECMWF workshop report: current status, progress and opportunities in machine learning for Earth system observation and prediction. npj Climate and Atmospheric Science. 7(1).

3.

Alexe, Mihai, P. Bergamaschi, Arjo Segers, et al.. (2015). Inverse modelling of CH ₄ emissions for 2010–2011 using different satellite retrieval products from GOSAT and SCIAMACHY. Atmospheric chemistry and physics. 15(1). 113–133. 103 indexed citations

4.

Alexe, Mihai & Adrian Sandu. (2014). Space–time adaptive solution of inverse problems with the discrete adjoint method. Journal of Computational Physics. 270. 21–39. 6 indexed citations

5.

Alexe, Mihai & Adrian Sandu. (2011). On the adaptive solution of space–time inverse problems with the adjoint method. Procedia Computer Science. 4. 1771–1781. 4 indexed citations

6.

Alexe, Mihai, et al.. (2011). Second-order adjoints for solving PDE-constrained optimization problems. Optimization methods & software. 27(4-5). 625–653. 20 indexed citations

7.

Alexe, Mihai, et al.. (2010). Using Automatic Differentiation in Sensitivity Analysis of Nuclear Simulation Models, invited. Transactions of the American Nuclear Society. 102(2010). 235–237. 3 indexed citations

8.

Cheng, Haiyan, Mohamed Jardak, Mihai Alexe, & Adrian Sandu. (2010). A hybrid approach to estimating error covariances in variational data assimilation. Tellus A Dynamic Meteorology and Oceanography. 62(3). 288–297. 29 indexed citations

9.

Cheng, Haiyan, Mohamed Jardak, Mihai Alexe, & Adrian Sandu. (2010). A hybrid approach to estimating error covariances in variational data assimilation. Tellus A Dynamic Meteorology and Oceanography. 1 indexed citations

10.

Alexe, Mihai, et al.. (2010). Obtaining and using second order derivative information in the solution of large scale inverse problems. 1–8. 2 indexed citations

11.

Alexe, Mihai & Adrian Sandu. (2009). On the discrete adjoints of adaptive time stepping algorithms. Journal of Computational and Applied Mathematics. 233(4). 1005–1020. 17 indexed citations

12.

Alexe, Mihai & Adrian Sandu. (2008). Forward and adjoint sensitivity analysis with continuous explicit Runge–Kutta schemes. Applied Mathematics and Computation. 208(2). 328–346. 19 indexed citations

13.

Alexe, Mihai & Adrian Sandu. (2007). An investigation of discrete adjoints for flux-limited numerical schemes. 373–378. 2 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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