Brian A. Rohr

3.7k total citations · 1 hit paper
19 papers, 1.8k citations indexed

About

Brian A. Rohr is a scholar working on Materials Chemistry, Catalysis and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Brian A. Rohr has authored 19 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Materials Chemistry, 10 papers in Catalysis and 7 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Brian A. Rohr's work include Machine Learning in Materials Science (8 papers), Ammonia Synthesis and Nitrogen Reduction (7 papers) and Catalytic Processes in Materials Science (5 papers). Brian A. Rohr is often cited by papers focused on Machine Learning in Materials Science (8 papers), Ammonia Synthesis and Nitrogen Reduction (7 papers) and Catalytic Processes in Materials Science (5 papers). Brian A. Rohr collaborates with scholars based in United States, Denmark and Switzerland. Brian A. Rohr's co-authors include Jens K. Nørskov, Aayush R. Singh, Jay A. Schwalbe, Matteo Cargnello, Thomas F. Jaramillo, Ib Chorkendorff, Karen Chan, Michael J. Statt, Santosh K. Suram and Joseph H. Montoya and has published in prestigious journals such as ACS Catalysis, Journal of Catalysis and Physical Chemistry Chemical Physics.

In The Last Decade

Brian A. Rohr

19 papers receiving 1.8k 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.

Electrochemical Ammonia Synthesis—The Selectivity Challenge

2016 834 citations Aayush R. Singh, Brian A. Rohr et al. ACS Catalysis profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brian A. Rohr United States	12	1.3k	1.1k	1.0k	332	194	19	1.8k
Aayush R. Singh United States	16	1.9k 1.4×	1.7k 1.5×	1.2k 1.2×	509 1.5×	265 1.4×	28	2.5k
Hemanth Somarajan Pillai United States	13	981 0.7×	1.0k 0.9×	692 0.7×	249 0.8×	153 0.8×	17	1.5k
Joseph A. Gauthier United States	21	822 0.6×	1.6k 1.4×	701 0.7×	153 0.5×	94 0.5×	41	2.0k
Xue Han China	18	758 0.6×	819 0.7×	727 0.7×	235 0.7×	165 0.9×	34	1.5k
Geun Ho Gu South Korea	21	475 0.4×	722 0.7×	1.2k 1.2×	55 0.2×	89 0.5×	47	1.9k
Muhammad Umer South Korea	18	293 0.2×	870 0.8×	876 0.9×	64 0.2×	100 0.5×	47	1.6k
Michael T. Y. Paul Canada	19	160 0.1×	626 0.6×	720 0.7×	44 0.1×	262 1.4×	31	1.3k
Patrick Barboun United States	9	769 0.6×	290 0.3×	733 0.7×	186 0.6×	78 0.4×	11	1.1k
Juhwan Noh South Korea	16	324 0.2×	438 0.4×	1.3k 1.3×	27 0.1×	42 0.2×	29	1.7k
Marcel Liauw Germany	21	398 0.3×	139 0.1×	494 0.5×	143 0.4×	256 1.3×	80	1.5k

Countries citing papers authored by Brian A. Rohr

Since Specialization

Citations

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

Fields of papers citing papers by Brian A. Rohr

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian A. Rohr

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

All Works

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19 of 19 papers shown

1.

Wu, Yue, Brian A. Rohr, Stefano Ermon, et al.. (2024). Targeted materials discovery using Bayesian algorithm execution. npj Computational Materials. 10(1). 10 indexed citations

2.

Statt, Michael J., et al.. (2023). The materials experiment knowledge graph. Digital Discovery. 2(4). 909–914. 11 indexed citations

3.

Statt, Michael J., Brian A. Rohr, Dan Guevarra, Santosh K. Suram, & John M. Gregoire. (2023). Event-driven data management with cloud computing for extensible materials acceleration platforms. Digital Discovery. 3(2). 238–242. 3 indexed citations

4.

Statt, Michael J., Brian A. Rohr, Dan Guevarra, et al.. (2023). The Materials Provenance Store. Scientific Data. 10(1). 184–184. 5 indexed citations

5.

Statt, Michael J., Brian A. Rohr, Dan Guevarra, et al.. (2023). ESAMP: event-sourced architecture for materials provenance management and application to accelerated materials discovery. Digital Discovery. 2(4). 1078–1088. 3 indexed citations

6.

Torrisi, Steven B., Matthew R. Carbone, Brian A. Rohr, et al.. (2020). Random forest machine learning models for interpretable X-ray absorption near-edge structure spectrum-property relationships. npj Computational Materials. 6(1). 133 indexed citations

7.

Rohr, Brian A., Helge S. Stein, Dan Guevarra, et al.. (2020). Benchmarking the acceleration of materials discovery by sequential learning. Chemical Science. 11(10). 2696–2706. 103 indexed citations

8.

Schwalbe, Jay A., Michael J. Statt, Cullen Chosy, et al.. (2020). A Combined Theory‐Experiment Analysis of the Surface Species in Lithium‐Mediated NH₃ Electrosynthesis. ChemElectroChem. 7(7). 1542–1549. 100 indexed citations

9.

Anand, Megha, Brian A. Rohr, Michael J. Statt, & Jens K. Nørskov. (2020). Scaling Relationships and Volcano Plots in Homogeneous Catalysis. The Journal of Physical Chemistry Letters. 11(20). 8518–8526. 38 indexed citations

10.

McEnaney, Joshua M., Brian A. Rohr, Adam C. Nielander, et al.. (2020). A cyclic electrochemical strategy to produce acetylene from CO₂, CH₄, or alternative carbon sources. Sustainable Energy & Fuels. 4(6). 2752–2759. 11 indexed citations

11.

Schwalbe, Jay A., Michael J. Statt, Cullen Chosy, et al.. (2020). A Combined Theory‐Experiment Analysis of the Surface Species in Lithium‐Mediated NH₃ Electrosynthesis. ChemElectroChem. 7(7). 1513–1513. 4 indexed citations

12.

Rohr, Brian A., Aayush R. Singh, Joseph A. Gauthier, Michael J. Statt, & Jens K. Nørskov. (2020). Micro-kinetic model of electrochemical carbon dioxide reduction over platinum in non-aqueous solvents. Physical Chemistry Chemical Physics. 22(16). 9040–9045. 17 indexed citations

13.

Singh, Aayush R., Brian A. Rohr, Michael J. Statt, et al.. (2019). Strategies toward Selective Electrochemical Ammonia Synthesis. ACS Catalysis. 9(9). 8316–8324. 187 indexed citations

14.

Singh, Aayush R., Brian A. Rohr, Joseph A. Gauthier, & Jens K. Nørskov. (2019). Predicting Chemical Reaction Barriers with a Machine Learning Model. Catalysis Letters. 149(9). 2347–2354. 88 indexed citations

15.

Rohr, Brian A., Aayush R. Singh, & Jens K. Nørskov. (2019). A theoretical explanation of the effect of oxygen poisoning on industrial Haber-Bosch catalysts. Journal of Catalysis. 372. 33–38. 55 indexed citations

16.

Zhang, Linan, Shaama Mallikarjun Sharada, Aayush R. Singh, et al.. (2018). A theoretical study of the effect of a non-aqueous proton donor on electrochemical ammonia synthesis. Physical Chemistry Chemical Physics. 20(7). 4982–4989. 96 indexed citations

17.

Singh, Aayush R., Joseph H. Montoya, Brian A. Rohr, et al.. (2018). Computational Design of Active Site Structures with Improved Transition-State Scaling for Ammonia Synthesis. ACS Catalysis. 8(5). 4017–4024. 94 indexed citations

18.

Singh, Aayush R., Brian A. Rohr, Jay A. Schwalbe, et al.. (2016). Electrochemical Ammonia Synthesis—The Selectivity Challenge. ACS Catalysis. 7(1). 706–709. 834 indexed citations breakdown →

19.

Rohr, Brian A., et al.. (2014). Automated Image Processing for Spatially Resolved Analysis of Lipid Droplets in Cultured 3T3-L1 Adipocytes. Tissue Engineering Part C Methods. 21(6). 605–613. 6 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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