Brian G. Ernst

957 total citations
8 papers, 348 citations indexed

About

Brian G. Ernst is a scholar working on Materials Chemistry, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Brian G. Ernst has authored 8 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Materials Chemistry, 3 papers in Organic Chemistry and 3 papers in Computational Theory and Mathematics. Recurrent topics in Brian G. Ernst's work include Machine Learning in Materials Science (4 papers), Crystallography and molecular interactions (3 papers) and Computational Drug Discovery Methods (3 papers). Brian G. Ernst is often cited by papers focused on Machine Learning in Materials Science (4 papers), Crystallography and molecular interactions (3 papers) and Computational Drug Discovery Methods (3 papers). Brian G. Ernst collaborates with scholars based in United States, Austria and Luxembourg. Brian G. Ernst's co-authors include Robert A. DiStasio, Michael O. Frederick, Niankai Fu, Song Lin, W. Lee, Song Lu, Geoffrey W. Coates, Jacob M. Ganley, Robert R. Knowles and Hsin-Yu Ko and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Chemical Physics and Nature Chemistry.

In The Last Decade

Brian G. Ernst

7 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brian G. Ernst United States	6	217	81	65	48	41	8	348
Robin M. Bär Germany	10	287 1.3×	88 1.1×	72 1.1×	70 1.5×	20 0.5×	15	418
Joonghee Won South Korea	9	459 2.1×	58 0.7×	59 0.9×	56 1.2×	112 2.7×	13	581
Li-Lin Jiang China	8	390 1.8×	73 0.9×	54 0.8×	74 1.5×	17 0.4×	22	555
Khadiza Begam United States	5	378 1.7×	92 1.1×	49 0.8×	94 2.0×	34 0.8×	11	492
Guanqi Qiu United States	5	410 1.9×	130 1.6×	21 0.3×	71 1.5×	84 2.0×	9	531
Muhammad Arif Ali Pakistan	11	79 0.4×	27 0.3×	82 1.3×	104 2.2×	49 1.2×	29	280
V. Bena Jothy India	12	225 1.0×	37 0.5×	50 0.8×	74 1.5×	17 0.4×	23	395
Sadaf Noreen Pakistan	11	166 0.8×	19 0.2×	88 1.4×	101 2.1×	17 0.4×	26	350
Benjamin G. Hejna United States	3	373 1.7×	102 1.3×	15 0.2×	45 0.9×	57 1.4×	5	451
Tianyi Shang China	7	531 2.4×	76 0.9×	119 1.8×	86 1.8×	38 0.9×	15	709

Countries citing papers authored by Brian G. Ernst

Since Specialization

Citations

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

Fields of papers citing papers by Brian G. Ernst

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian G. Ernst. 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 Brian G. Ernst. The network helps show where Brian G. Ernst may publish in the future.

Co-authorship network of co-authors of Brian G. Ernst

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

All Works

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8 of 8 papers shown

Hu, Jenny, et al.. (2025). Designing Polymers with Molecular Weight Distribution-Based Machine Learning. Journal of the American Chemical Society. 147(12). 10238–10246. 5 indexed citations

Ernst, Brian G., et al.. (2024). ADVANCING SYSTEM OF SYSTEMS ANALYSIS TOOLSET (SoSAT) AND THE FULLY BURDENED COST TOOL (FBCT) TO JOINTLY ASSESS OPERATIONAL PERFORMANCE, SUSTAINMENT, COST, AND OPERATIONAL ENERGY. SAE technical papers on CD-ROM/SAE technical paper series. 1.

Sandonas, Leonardo Medrano, Johannes Hoja, Brian G. Ernst, et al.. (2023). “Freedom of design” in chemical compound space: towards rationalin silicodesign of molecules with targeted quantum-mechanical properties. Chemical Science. 14(39). 10702–10717. 8 indexed citations

Ernst, Brian G., et al.. (2022). Uniting Nonempirical and Empirical Density Functional Approximation Strategies Using Constraint-Based Regularization. The Journal of Physical Chemistry Letters. 13(30). 6896–6904. 7 indexed citations

Ernst, Brian G., et al.. (2021). NENCI-2021. I. A large benchmark database of non-equilibrium non-covalent interactions emphasizing close intermolecular contacts. The Journal of Chemical Physics. 155(18). 184303–184303. 23 indexed citations

You, Wei, Jacob M. Ganley, Brian G. Ernst, et al.. (2021). Expeditious synthesis of aromatic-free piperidinium-functionalized polyethylene as alkaline anion exchange membranes. Chemical Science. 12(11). 3898–3910. 63 indexed citations

Ernst, Brian G., Ka Un Lao, Andrew G. Sullivan, & Robert A. DiStasio. (2020). Attracting Opposites: Promiscuous Ion−π Binding in the Nucleobases. The Journal of Physical Chemistry A. 124(20). 4128–4140. 7 indexed citations

Lu, Song, Niankai Fu, Brian G. Ernst, et al.. (2020). Dual electrocatalysis enables enantioselective hydrocyanation of conjugated alkenes. Nature Chemistry. 12(8). 747–754. 235 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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