Noah H. Paulson

1.1k total citations
27 papers, 723 citations indexed

About

Noah H. Paulson is a scholar working on Materials Chemistry, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Noah H. Paulson has authored 27 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Materials Chemistry, 11 papers in Mechanical Engineering and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Noah H. Paulson's work include Machine Learning in Materials Science (7 papers), Advancements in Battery Materials (7 papers) and Advanced Battery Technologies Research (6 papers). Noah H. Paulson is often cited by papers focused on Machine Learning in Materials Science (7 papers), Advancements in Battery Materials (7 papers) and Advanced Battery Technologies Research (6 papers). Noah H. Paulson collaborates with scholars based in United States and Germany. Noah H. Paulson's co-authors include David L. McDowell, Matthew W. Priddy, Surya R. Kalidindi, Marius Stan, Susan Babinec, Joseph Kubal, Saurabh Saxena, Logan Ward, Wenquan Lu and Joseph A. Libera and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Power Sources and Acta Materialia.

In The Last Decade

Noah H. Paulson

26 papers receiving 700 citations

Peers

Countries citing papers authored by Noah H. Paulson

Since Specialization

Citations

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

Fields of papers citing papers by Noah H. Paulson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Noah H. Paulson. 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 Noah H. Paulson. The network helps show where Noah H. Paulson may publish in the future.

Co-authorship network of co-authors of Noah H. Paulson

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	A Grassroots Network and Community Roadmap for Interconnected Autonomous Science Laboratories for Accelerated Discovery 2025 ·(unknown), Milad Abolhasani, Dionysios A. Antonopoulos, (unknown), Ryan Coffee, (unknown), (unknown), (unknown), (unknown), Benjamin Mintz, (unknown), (unknown), Noah H. Paulson, (unknown), (unknown), Mitra L. Taheri, Michela Taufer, (unknown)	1
2	Catalyzing deep decarbonization with federated battery diagnosis and prognosis for better data management in energy storage systems 2024 ·Cell Reports Physical Science ·(unknown), (unknown), (unknown), Noah H. Paulson, Feng Qiu, Susan Babinec, Murat Yildirim	2
3	Multivariate prognosis of battery advanced state of health via transformers 2024 ·Cell Reports Physical Science ·Noah H. Paulson, Joseph Kubal, Susan Babinec	3
4	Probabilistic machine learning for battery health diagnostics and prognostics—review and perspectives 2024 ·SHILAP Revista de lepidopterología ·Adam Thelen, Xun Huan, Noah H. Paulson, Simona Onori, Zhen Hu, Chao Hu	32
5	A convolutional neural network model for battery capacity fade curve prediction using early life data 2022 ·Journal of Power Sources ·Saurabh Saxena, Logan Ward, Joseph Kubal, Wenquan Lu, Susan Babinec, Noah H. Paulson	71
6	Intelligent Agents for the Optimization of Atomic Layer Deposition 2021 ·ACS Applied Materials & Interfaces ·Noah H. Paulson, Ángel Yanguas-Gil, (unknown), Jeffrey W. Elam	12
7	Flame stability analysis of flame spray pyrolysis by artificial intelligence 2021 ·The International Journal of Advanced Manufacturing Technology ·Jessica Pan, Joseph A. Libera, Noah H. Paulson, Marius Stan	16
8	Computational fluid dynamics modeling and analysis of silica nanoparticle synthesis in a flame spray pyrolysis reactor 2021 ·Combustion and Flame ·(unknown), Pinaki Pal, Roberto Torelli, Sibendu Som, Noah H. Paulson, Joseph A. Libera, Marius Stan	19
9	Bayesian automated weighting of aggregated DFT, MD, and experimental data for candidate thermodynamic models of aluminum with uncertainty quantification 2021 ·Materialia ·(unknown), Noah H. Paulson, Thien Duong, Chandler A. Becker, Francesca Tavazza, Ursula R. Kattner, Marius Stan	5
10	Feature Engineering for Machine Learning Enabled Early Prediction of Battery Lifetime 2021 ·SSRN Electronic Journal ·Noah H. Paulson, Joseph Kubal, Logan Ward, Saurabh Saxena, Wenquan Lu, Susan Babinec	1
11	Insights from Computational Studies on the Anisotropic Volume Change of Li_xNiO₂ at High States of Charge (x < 0.25) 2021 ·The Journal of Physical Chemistry C ·Juan C. Garcia, (unknown), Noah H. Paulson, John J. Low, Marius Stan, Hakim Iddir	9
12	An efficient approximation of the supercell approach to the calculation of the full phonon spectrum 2020 ·Calphad ·(unknown), Noah H. Paulson, Marius Stan, Santanu Chaudhuri	2
13	Thermodynamics of monoclinic and tetragonal hafnium dioxide (HfO2) at ambient pressure 2020 ·Calphad ·John J. Low, Noah H. Paulson, Michael D’Mello, Marius Stan	19
14	Comparison of statistically-based methods for automated weighting of experimental data in CALPHAD-type assessment 2020 ·Calphad ·Noah H. Paulson, (unknown), (unknown), Marius Stan	13
15	Correlations between thermal history and keyhole porosity in laser powder bed fusion 2020 ·Additive manufacturing ·Noah H. Paulson, Benjamin Gould, Sarah J. Wolff, Marius Stan, Aaron Greco	75
16	Flame spray pyrolysis optimization via statistics and machine learning 2020 ·Materials & Design ·Noah H. Paulson, Joseph A. Libera, Marius Stan	24
17	Uncertainty quantification and propagation in CALPHAD modeling 2019 ·Modelling and Simulation in Materials Science and Engineering ·Pejman Honarmandi, Noah H. Paulson, Raymundo Arróyave, Marius Stan	16
18	Data-driven reduced-order models for rank-ordering the high cycle fatigue performance of polycrystalline microstructures 2018 ·Materials & Design ·Noah H. Paulson, Matthew W. Priddy, David L. McDowell, Surya R. Kalidindi	57
19	Reduced-order structure-property linkages for polycrystalline microstructures based on 2-point statistics 2017 ·Acta Materialia ·Noah H. Paulson, Matthew W. Priddy, David L. McDowell, Surya R. Kalidindi	129
20	Synthetic alpha-Ti Microstructures and Associated Elastic Stiffness and Yield Strength Properties 2016 ·Matthew W. Priddy, Noah H. Paulson	1

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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