Benjamin J. Bucior

2.2k total citations · 2 hit papers
13 papers, 1.6k citations indexed

About

Benjamin J. Bucior is a scholar working on Inorganic Chemistry, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Benjamin J. Bucior has authored 13 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Inorganic Chemistry, 9 papers in Materials Chemistry and 3 papers in Biomedical Engineering. Recurrent topics in Benjamin J. Bucior's work include Metal-Organic Frameworks: Synthesis and Applications (9 papers), Machine Learning in Materials Science (6 papers) and Carbon dioxide utilization in catalysis (2 papers). Benjamin J. Bucior is often cited by papers focused on Metal-Organic Frameworks: Synthesis and Applications (9 papers), Machine Learning in Materials Science (6 papers) and Carbon dioxide utilization in catalysis (2 papers). Benjamin J. Bucior collaborates with scholars based in United States, Spain and United Kingdom. Benjamin J. Bucior's co-authors include Randall Q. Snurr, Omar K. Farha, J. Ilja Siepmann, Maciej Harańczyk, N. Scott Bobbitt, Yongchul G. Chung, Ben Slater, Sanliang Ling, Seulchan Lee and Jeffrey S. Camp and has published in prestigious journals such as The Journal of Chemical Physics, Langmuir and The Journal of Physical Chemistry C.

In The Last Decade

Benjamin J. Bucior

13 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Advances, Updates, and Analytics for the Computation-Ready, Experimental Metal–Organic Framework Database: CoRE MOF 2019

2019 605 citations Yongchul G. Chung, Emmanuel Haldoupis et al. Journal of Chemical & Engineering Data profile →
Inverse design of nanoporous crystalline reticular materials with deep generative models

2021 275 citations Zhenpeng Yao, Benjamín Sánchez-Lengeling et al. Nature Machine Intelligence profile →

Peers

Benjamin J. Bucior

EEE

Jeffrey S. Camp United States

Aurelia Li United Kingdom

Ryther Anderson United States

Michaeel Kazi United States

Sean P. Collins Canada

Seulchan Lee South Korea

Hilal Daglar Türkiye

Zhiling Zheng United States

Sangwon Lee South Korea

Nakul Rampal United States

Jeffrey S. Camp United States

Benjamin J. Bucior

1.3k ×1.1

1.5k ×1.4

397 ×1.2

178 ×1.1

121 ×1.0

EEE

Citations per year, relative to Benjamin J. Bucior Benjamin J. Bucior (= 1×) peers Jeffrey S. Camp

Countries citing papers authored by Benjamin J. Bucior

Since Specialization

Citations

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

Fields of papers citing papers by Benjamin J. Bucior

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin J. Bucior. 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 Benjamin J. Bucior. The network helps show where Benjamin J. Bucior may publish in the future.

Co-authorship network of co-authors of Benjamin J. Bucior

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

All Works

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13 of 13 papers shown

Bobbitt, N. Scott, Kaihang Shi, Benjamin J. Bucior, et al.. (2023). MOFX-DB: An Online Database of Computational Adsorption Data for Nanoporous Materials. Journal of Chemical & Engineering Data. 68(2). 483–498. 65 indexed citations

Yao, Zhenpeng, Benjamín Sánchez-Lengeling, N. Scott Bobbitt, et al.. (2021). Inverse design of nanoporous crystalline reticular materials with deep generative models. Nature Machine Intelligence. 3(1). 76–86. 275 indexed citations breakdown →

Li, Zhao, Benjamin J. Bucior, Haoyuan Chen, et al.. (2021). Machine learning using host/guest energy histograms to predict adsorption in metal–organic frameworks: Application to short alkanes and Xe/Kr mixtures. The Journal of Chemical Physics. 155(1). 14701–14701. 25 indexed citations

Leperi, Karson T., Benjamin J. Bucior, Timur İslamoğlu, et al.. (2020). Process-level modelling and optimization to evaluate metal–organic frameworks for post-combustion capture of CO₂. Molecular Systems Design & Engineering. 5(7). 1205–1218. 57 indexed citations

Müller, Philipp, Benjamin J. Bucior, Giulia Tuci, et al.. (2019). Computational screening, synthesis and testing of metal–organic frameworks with a bithiazole linker for carbon dioxide capture and its green conversion into cyclic carbonates. Molecular Systems Design & Engineering. 4(5). 1000–1013. 31 indexed citations

Gopalan, Arun, Benjamin J. Bucior, N. Scott Bobbitt, & Randall Q. Snurr. (2019). Prediction of hydrogen adsorption in nanoporous materials from the energy distribution of adsorption sites. Molecular Physics. 117(23-24). 3683–3694. 29 indexed citations

Chung, Yongchul G., Emmanuel Haldoupis, Benjamin J. Bucior, et al.. (2019). Advances, Updates, and Analytics for the Computation-Ready, Experimental Metal–Organic Framework Database: CoRE MOF 2019. Journal of Chemical & Engineering Data. 64(12). 5985–5998. 605 indexed citations breakdown →

Bucior, Benjamin J., Andrew Rosen, Maciej Harańczyk, et al.. (2019). Identification Schemes for Metal–Organic Frameworks To Enable Rapid Search and Cheminformatics Analysis. Crystal Growth & Design. 19(11). 6682–6697. 179 indexed citations

Bucior, Benjamin J., N. Scott Bobbitt, Timur İslamoğlu, et al.. (2018). Energy-based descriptors to rapidly predict hydrogen storage in metal–organic frameworks. Molecular Systems Design & Engineering. 4(1). 162–174. 232 indexed citations

10.

Bucior, Benjamin J., G. V. Kolmakov, Jinchen Liu, et al.. (2017). Adsorption and Diffusion of Fluids in Defective Carbon Nanotubes: Insights from Molecular Simulations. Langmuir. 33(42). 11834–11844. 12 indexed citations

11.

Kolmakov, G. V., Benjamin J. Bucior, Orit Peleg, et al.. (2012). Using Mesoscopic Models to Design Strong and Tough Biomimetic Polymer. Bulletin of the American Physical Society. 2012. 2 indexed citations

12.

Bucior, Benjamin J., De‐Li Chen, Jinchen Liu, & J. Karl Johnson. (2012). Porous Carbon Nanotube Membranes for Separation of H₂/CH₄ and CO₂/CH₄ Mixtures. The Journal of Physical Chemistry C. 116(49). 25904–25910. 58 indexed citations

13.

Kolmakov, G. V., Benjamin J. Bucior, Orit Peleg, et al.. (2011). Using Mesoscopic Models to Design Strong and Tough Biomimetic Polymer Networks. Langmuir. 27(22). 13796–13805. 19 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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