Patrick Huck

6.4k total citations
15 papers, 929 citations indexed

About

Patrick Huck is a scholar working on Materials Chemistry, Physical and Theoretical Chemistry and Catalysis. According to data from OpenAlex, Patrick Huck has authored 15 papers receiving a total of 929 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Materials Chemistry, 2 papers in Physical and Theoretical Chemistry and 2 papers in Catalysis. Recurrent topics in Patrick Huck's work include Machine Learning in Materials Science (8 papers), X-ray Diffraction in Crystallography (5 papers) and 2D Materials and Applications (3 papers). Patrick Huck is often cited by papers focused on Machine Learning in Materials Science (8 papers), X-ray Diffraction in Crystallography (5 papers) and 2D Materials and Applications (3 papers). Patrick Huck collaborates with scholars based in United States, China and Singapore. Patrick Huck's co-authors include Kristin A. Persson, Matthew K. Horton, Shyue Ping Ong, Jun Zhou, Yiming Chen, Yuan Ping Feng, Miguel Dias Costa, Yunhao Lu, Hanmei Tang and Lei Shen and has published in prestigious journals such as Energy & Environmental Science, Chemistry of Materials and Nuclear Physics A.

In The Last Decade

Patrick Huck

15 papers receiving 911 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Patrick Huck United States	11	751	323	146	110	100	15	929
Guido Petretto Belgium	13	712 0.9×	326 1.0×	63 0.4×	57 0.5×	148 1.5×	29	1.0k
Aria Mansouri Tehrani United States	14	1.1k 1.4×	359 1.1×	77 0.5×	95 0.9×	101 1.0×	27	1.2k
Martin Uhrin Switzerland	6	574 0.8×	218 0.7×	80 0.5×	47 0.4×	75 0.8×	7	726
Héctor Barrón United States	15	529 0.7×	156 0.5×	98 0.7×	62 0.6×	212 2.1×	22	765
Søren Smidstrup Switzerland	9	653 0.9×	387 1.2×	88 0.6×	40 0.4×	105 1.1×	18	975
Daniel Schwalbe‐Koda United States	15	743 1.0×	163 0.5×	71 0.5×	253 2.3×	80 0.8×	31	900
Hoje Chun South Korea	19	546 0.7×	308 1.0×	80 0.5×	119 1.1×	339 3.4×	40	886
Arthur France‐Lanord United States	17	561 0.7×	659 2.0×	149 1.0×	21 0.2×	113 1.1×	33	1.1k
Tiago F. T. Cerqueira Germany	17	648 0.9×	177 0.5×	64 0.4×	110 1.0×	28 0.3×	30	800
Peichen Zhong United States	13	550 0.7×	400 1.2×	40 0.3×	48 0.4×	43 0.4×	27	873

Countries citing papers authored by Patrick Huck

Since Specialization

Citations

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

Fields of papers citing papers by Patrick Huck

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrick Huck

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

All Works

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15 of 15 papers shown

Wen, Mingjian, Matthew K. Horton, Jason M. Munro, Patrick Huck, & Kristin A. Persson. (2024). An equivariant graph neural network for the elasticity tensors of all seven crystal systems. Digital Discovery. 3(5). 869–882. 18 indexed citations

Sivonxay, Eric, Max C. Gallant, Matthew J. McDermott, et al.. (2024). The ab initio non-crystalline structure database: empowering machine learning to decode diffusivity. npj Computational Materials. 10(1). 7 indexed citations

Spotte‐Smith, Evan Walter Clark, Samuel M. Blau, Jason M. Munro, et al.. (2023). A database of molecular properties integrated in the Materials Project. Digital Discovery. 2(6). 1862–1882. 15 indexed citations

Shen, Jimmy‐Xuan, Jason M. Munro, Matthew K. Horton, et al.. (2022). A representation-independent electronic charge density database for crystalline materials. Scientific Data. 9(1). 661–661. 12 indexed citations

Rosen, Andrew, Victor Fung, Patrick Huck, et al.. (2022). High-throughput predictions of metal–organic framework electronic properties: theoretical challenges, graph neural networks, and data exploration. npj Computational Materials. 8(1). 118 indexed citations

Essiari, Abdelilah, et al.. (2021). Science Capsule: Towards Sharing and Reproducibility of Scientific Workflows. eScholarship (California Digital Library). 66–73. 1 indexed citations

Sun, He, Shyam Dwaraknath, Xiaohui Qu, et al.. (2020). Enabling materials informatics for 29Si solid-state NMR of crystalline materials. npj Computational Materials. 6(1). 17 indexed citations

Zhou, Jun, Lei Shen, Miguel Dias Costa, et al.. (2019). 2DMatPedia, an open computational database of two-dimensional materials from top-down and bottom-up approaches. Scientific Data. 6(1). 86–86. 278 indexed citations

Cai, Yao, Wei Xie, Yin Ting Teng, et al.. (2019). High-throughput Computational Study of Halide Double Perovskite Inorganic Compounds. Chemistry of Materials. 31(15). 5392–5401. 146 indexed citations

10.

Vieten, Josua, Brendan Bulfin, Patrick Huck, et al.. (2019). Materials design of perovskite solid solutions for thermochemical applications. Energy & Environmental Science. 12(4). 1369–1384. 147 indexed citations

11.

Oftelie, Lindsay Bassman, Pankaj Rajak, Rajiv K. Kalia, et al.. (2018). Efficient Discovery of Optimal N-Layered TMDC Hetero-Structures. MRS Advances. 3(6-7). 397–402. 6 indexed citations

12.

Oftelie, Lindsay Bassman, Pankaj Rajak, Rajiv K. Kalia, et al.. (2018). Active learning for accelerated design of layered materials. npj Computational Materials. 4(1). 130 indexed citations

13.

Huck, Patrick, Dan Gunter, Shreyas Cholia, et al.. (2015). User applications driven by the community contribution framework MPContribs in the Materials Project. Concurrency and Computation Practice and Experience. 28(7). 1982–1993. 17 indexed citations

14.

Huck, Patrick. (2014). Beam energy dependence of dielectron production in Au+Au collisions from STAR at RHIC. Nuclear Physics A. 931. 659–664. 12 indexed citations

15.

Homer, John & Patrick Huck. (1968). Molecular complexes. Part I. Proton magnetic resonance studies of complexes of nitroform with benzene and with some methylbenzenes. Journal of the Chemical Society A Inorganic Physical Theoretical. 277–277. 5 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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