Eviatar Bach

994 total citations · 1 hit paper
21 papers, 674 citations indexed

About

Eviatar Bach is a scholar working on Atmospheric Science, Global and Planetary Change and Artificial Intelligence. According to data from OpenAlex, Eviatar Bach has authored 21 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Atmospheric Science, 10 papers in Global and Planetary Change and 5 papers in Artificial Intelligence. Recurrent topics in Eviatar Bach's work include Meteorological Phenomena and Simulations (10 papers), Climate variability and models (10 papers) and Reservoir Engineering and Simulation Methods (4 papers). Eviatar Bach is often cited by papers focused on Meteorological Phenomena and Simulations (10 papers), Climate variability and models (10 papers) and Reservoir Engineering and Simulation Methods (4 papers). Eviatar Bach collaborates with scholars based in United States, France and United Kingdom. Eviatar Bach's co-authors include Yan Li, Horacio Bach, Melissa Richard‐Greenblatt, Douglas J. Begg, M. Chaffer, Greg Keefe, Eugenia Kalnay, Safa Motesharrei, Ning Zeng and Fred Kucharski and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Scientific Reports.

In The Last Decade

Eviatar Bach

20 papers receiving 660 citations

Hit Papers

Protein Kinase G Induces an Immune Response in Cows Expos... 2018 2026 2020 2023 2018 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eviatar Bach United States 11 186 173 144 108 63 21 674
Sergio Teggi Italy 18 239 1.3× 236 1.4× 394 2.7× 38 0.4× 32 0.5× 91 1.1k
Yanan Wu China 22 149 0.8× 173 1.0× 172 1.2× 54 0.5× 49 0.8× 148 1.6k
Khaled Hasan United States 12 37 0.2× 108 0.6× 85 0.6× 85 0.8× 23 0.4× 33 658
Jangho Lee South Korea 14 72 0.4× 110 0.6× 121 0.8× 37 0.3× 23 0.4× 56 579
Xianyan Chen China 19 194 1.0× 307 1.8× 83 0.6× 21 0.2× 104 1.7× 103 984
Sangil Kim South Korea 17 151 0.8× 96 0.6× 69 0.5× 31 0.3× 63 1.0× 74 797
Xiaojing Tang United States 15 118 0.6× 338 2.0× 192 1.3× 27 0.3× 84 1.3× 40 747
Natalya Pya Kazakhstan 5 56 0.3× 127 0.7× 50 0.3× 63 0.6× 40 0.6× 8 611
Jiayao Wang China 13 109 0.6× 174 1.0× 158 1.1× 42 0.4× 37 0.6× 94 732

Countries citing papers authored by Eviatar Bach

Since Specialization
Citations

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

Fields of papers citing papers by Eviatar Bach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eviatar Bach

This figure shows the co-authorship network connecting the top 25 collaborators of Eviatar Bach. A scholar is included among the top collaborators of Eviatar Bach 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 Eviatar Bach. Eviatar Bach 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.
Vernon, S A, et al.. (2025). Nesterov acceleration for ensemble Kalman inversion and variants. Journal of Computational Physics. 535. 114063–114063.
2.
Manta, Gastón, et al.. (2024). The South Atlantic Dipole via multichannel singular spectrum analysis. Scientific Reports. 14(1). 15534–15534. 2 indexed citations
3.
Bach, Eviatar, V. Krishnamurthy, Safa Motesharrei, et al.. (2024). Improved subseasonal prediction of South Asian monsoon rainfall using data-driven forecasts of oscillatory modes. Proceedings of the National Academy of Sciences. 121(15). e2312573121–e2312573121. 8 indexed citations
4.
Morzfeld, Matthias, et al.. (2024). High‐Dimensional Covariance Estimation From a Small Number of Samples. Journal of Advances in Modeling Earth Systems. 16(9). 6 indexed citations
5.
Li, Yan, et al.. (2024). A global assessment of the effects of solar farms on albedo, vegetation, and land surface temperature using remote sensing. Solar Energy. 268. 112198–112198. 41 indexed citations
6.
Bach, Eviatar, et al.. (2024). Filtering dynamical systems using observations of statistics. Chaos An Interdisciplinary Journal of Nonlinear Science. 34(3). 4 indexed citations
7.
Chattopadhyay, Ashesh, Ebrahim Nabizadeh, Eviatar Bach, & Pedram Hassanzadeh. (2023). Deep learning-enhanced ensemble-based data assimilation for high-dimensional nonlinear dynamical systems. Journal of Computational Physics. 477. 111918–111918. 16 indexed citations
8.
Bach, Eviatar & Michael Ghil. (2023). A Multi‐Model Ensemble Kalman Filter for Data Assimilation and Forecasting. Journal of Advances in Modeling Earth Systems. 15(1). 15 indexed citations
9.
Lopez‐Gomez, Ignacio, et al.. (2022). EnsembleKalmanProcesses.jl: Derivative-freeensemble-based model calibration. The Journal of Open Source Software. 7(80). 4869–4869. 10 indexed citations
10.
Chattopadhyay, Ashesh, Mustafa Mustafa, Pedram Hassanzadeh, Eviatar Bach, & Karthik Kashinath. (2022). Towards physics-inspired data-driven weather forecasting: integrating data assimilation with a deep spatial-transformer-based U-NET in a case study with ERA5. Geoscientific model development. 15(5). 2221–2237. 33 indexed citations
11.
Chattopadhyay, Ashesh, Ebrahim Nabizadeh, Eviatar Bach, & Pedram Hassanzadeh. (2022). Deep Learning-Enhanced Ensemble-Based Data Assimilation for High-Dimensional Nonlinear Dynamical Systems. SSRN Electronic Journal. 5 indexed citations
12.
Chattopadhyay, Ashesh, Mustafa Mustafa, Pedram Hassanzadeh, Eviatar Bach, & Karthik Kashinath. (2021). Towards physically consistent data-driven weather forecasting: Integrating data assimilation with equivariance-preserving spatial transformers in a case study with ERA5. 12 indexed citations
13.
Bach, Eviatar, Safa Motesharrei, V. Krishnamurthy, et al.. (2021). Ensemble Oscillation Correction (EnOC): Leveraging oscillatory modes to improve forecasts of chaotic systems. Journal of Climate. 1–1. 9 indexed citations
14.
Penny, Stephen G., et al.. (2019). Strongly Coupled Data Assimilation in Multiscale Media: Experiments Using a Quasi‐Geostrophic Coupled Model. Journal of Advances in Modeling Earth Systems. 11(6). 1803–1829. 47 indexed citations
15.
Bach, Eviatar, Safa Motesharrei, Eugenia Kalnay, & Alfredo Ruiz‐Barradas. (2019). Local Atmosphere–Ocean Predictability: Dynamical Origins, Lead Times, and Seasonality. Journal of Climate. 32(21). 7507–7519. 24 indexed citations
16.
Bach, Eviatar, Eran A. Raizman, Paolete Soto, et al.. (2018). Immunogenicity of PtpA secreted during Mycobacterium avium ssp. paratuberculosis infection in cattle. Veterinary Immunology and Immunopathology. 198. 1–5. 5 indexed citations
17.
Li, Yan, Eugenia Kalnay, Safa Motesharrei, et al.. (2018). Climate model shows large-scale wind and solar farms in the Sahara increase rain and vegetation. Science. 361(6406). 1019–1022. 173 indexed citations
18.
Bach, Horacio, Melissa Richard‐Greenblatt, Eviatar Bach, et al.. (2018). Protein Kinase G Induces an Immune Response in Cows Exposed toMycobacterium aviumSubsp.paratuberculosis. BioMed Research International. 2018. 1–9. 214 indexed citations breakdown →
19.
Bach, Eviatar, Valentina Radić, & Christian Schoof. (2018). How sensitive are mountain glaciers to climate change? Insights from a block model. Journal of Glaciology. 64(244). 247–258. 18 indexed citations
20.
Bach, Eviatar & Daniel T. Holmes. (2015). Reqscan: An open source solution for laboratory requisition scanning, archiving and retrieval. Journal of Pathology Informatics. 6(1). 3–3. 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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