Alexandre M. Tartakovsky
- Environmental Engineering top 0.2%
- Groundwater flow and contamination studies 44
- Computational Mechanics top 0.2%
- Fluid Dynamics Simulations and Interactions 45
- Lattice Boltzmann Simulation Studies 44
- Fluid Dynamics and Heat Transfer 16
- Ocean Engineering top 0.2%
-
- Model Reduction and Neural Networks 26
-
- Probabilistic and Robust Engineering Design 28
-
- Soil and Unsaturated Flow 13
-
- Gaussian Processes and Bayesian Inference 11
- Co-authors
- Paul MeakinTim ScheibeDavid A. Barajas‐SolanoDaniel M. TartakovskyG. TartakovskyQizhi HeIlenia BattiatoPietro de Anna
- Journals
- Physical Review Letters (3 papers)The Journal of Chemical Physics (2 papers)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- United StatesGermanySpain
In The Last Decade
Alexandre M. Tartakovsky
158 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Environmental Engineering 1.9k
- Computational Mechanics 2.2k
- Ocean Engineering 1.3k
- Statistical and Nonlinear Physics 716
- Statistics, Probability and Uncertainty 411
Countries citing papers authored by Alexandre M. Tartakovsky
This map shows the geographic impact of Alexandre M. Tartakovsky'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 Alexandre M. Tartakovsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexandre M. Tartakovsky more than expected).
Fields of papers citing papers by Alexandre M. Tartakovsky
This network shows the impact of papers produced by Alexandre M. Tartakovsky. 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 Alexandre M. Tartakovsky. The network helps show where Alexandre M. Tartakovsky may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alexandre M. Tartakovsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 10 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 4 | |
| 6 | 2023 | 16 | |
| 7 | 2023 | 21 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 4 | |
| 10 | 2022 | 32 | |
| 11 | 2022 | 15 | |
| 12 | 2021 | 44 | |
| 13 | 2021 | 7 | |
| 14 | 2020 | 4 | |
| 15 | Physics‐Informed Deep Neural Networks for Learning Parameters and Constitutive Relationships in Subsurface Flow Problemsbreakdown → | 2020 | 318 |
| 16 | 2020 | 10 | |
| 17 | 2019 | 12 | |
| 18 | 2017 | 19 | |
| 19 | 2017 | 24 | |
| 20 | Calcium carbonate precipitation along solution-solution interfaces in porous media | 2005 | 1 |
About Alexandre M. Tartakovsky
Alexandre M. Tartakovsky is a scholar working on Statistics, Probability and Uncertainty, Environmental Engineering and Computational Mechanics, having authored 167 papers that have together received 5.7k indexed citations. Recurring topics across this work include Fluid Dynamics Simulations and Interactions (45 papers), Groundwater flow and contamination studies (44 papers), Lattice Boltzmann Simulation Studies (44 papers), Probabilistic and Robust Engineering Design (28 papers), Model Reduction and Neural Networks (26 papers), Fluid Dynamics and Heat Transfer (16 papers), Soil and Unsaturated Flow (13 papers) and Gaussian Processes and Bayesian Inference (11 papers). The work is most often cited by research in Environmental Engineering (1.9k citations), Computational Mechanics (2.2k citations) and Ocean Engineering (1.3k citations). Alexandre M. Tartakovsky has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include Paul Meakin, Tim Scheibe, David A. Barajas‐Solano, Daniel M. Tartakovsky, G. Tartakovsky, Qizhi He, Ilenia Battiato, Pietro de Anna, Paris Perdikaris and Wenxiao Pan. Their work appears in journals such as Physical Review Letters, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.
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.