David H. Bross

897 total citations
34 papers, 610 citations indexed

About

David H. Bross is a scholar working on Atomic and Molecular Physics, and Optics, Organic Chemistry and Materials Chemistry. According to data from OpenAlex, David H. Bross has authored 34 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Atomic and Molecular Physics, and Optics, 16 papers in Organic Chemistry and 14 papers in Materials Chemistry. Recurrent topics in David H. Bross's work include Advanced Chemical Physics Studies (22 papers), Chemical Thermodynamics and Molecular Structure (15 papers) and Machine Learning in Materials Science (7 papers). David H. Bross is often cited by papers focused on Advanced Chemical Physics Studies (22 papers), Chemical Thermodynamics and Molecular Structure (15 papers) and Machine Learning in Materials Science (7 papers). David H. Bross collaborates with scholars based in United States, China and Australia. David H. Bross's co-authors include Kirk A. Peterson, Branko Ruščić, John F. Stanton, J. Grant Hill, Hans‐Joachim Werner, James H. Thorpe, David Feller, Thanh Lam Nguyen, Joshua H. Baraban and G. Barney Ellison and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Chemical Society Reviews.

In The Last Decade

David H. Bross

31 papers receiving 609 citations

Peers

David H. Bross
Ericka C. Barnes United States
Alexander N. Morozov United States
Joshua H. Baraban United States
Sandeep Nijsure United States
T. Ramond United States
Ericka C. Barnes United States
David H. Bross
Citations per year, relative to David H. Bross David H. Bross (= 1×) peers Ericka C. Barnes

Countries citing papers authored by David H. Bross

Since Specialization
Citations

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

Fields of papers citing papers by David H. Bross

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David H. Bross

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

All Works

20 of 20 papers shown
1.
Klippenstein, Stephen J., Raghu Sivaramakrishnan, Nicole J. Labbe, et al.. (2025). Theoretically Informed Kinetics (ThInK): Establishing a modern C0-C3 mechanism for combustion modeling. Combustion and Flame. 282. 114501–114501.
2.
Johnson, Matthew S., David H. Bross, & Judit Zádor. (2025). Resolving the Coverage Dependence of Surface Reaction Kinetics with Machine Learning and Automated Quantum Chemistry Workflows. The Journal of Physical Chemistry C. 129(7). 3469–3482.
3.
Ruščić, Branko & David H. Bross. (2024). Active Thermochemical Tables: Should the enthalpy of formation of gas phase boron atom be revised?. Chemical Physics Letters. 862. 141841–141841.
4.
5.
Sargsyan, Khachik, et al.. (2024). Importance sampling within configuration space integration for adsorbate thermophysical properties: a case study for CH3/Ni(111). Physical Chemistry Chemical Physics. 26(24). 17265–17273. 3 indexed citations
6.
Kreitz, Bjarne, et al.. (2024). Unifying thermochemistry concepts in computational heterogeneous catalysis. Chemical Society Reviews. 54(2). 560–589. 4 indexed citations
7.
Ruščić, Branko & David H. Bross. (2024). Active Thermochemical Tables (ATcT) Thermochemical Values ver. 1.202. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 3 indexed citations
8.
Nguyen, Thanh Lam, Jozef Peeters, Jean‐François Müller, et al.. (2023). Methanediol from cloud-processed formaldehyde is only a minor source of atmospheric formic acid. Proceedings of the National Academy of Sciences. 120(48). e2304650120–e2304650120. 3 indexed citations
9.
Johnson, Matthew S., Maciej Gierada, Eric Hermes, et al.. (2023). Pynta─An Automated Workflow for Calculation of Surface and Gas–Surface Kinetics. Journal of Chemical Information and Modeling. 63(16). 5153–5168. 7 indexed citations
10.
Thorpe, James H., David Feller, David H. Bross, Branko Ruščić, & John F. Stanton. (2022). Sub 20 cm−1 computational prediction of the CH bond energy – a case of systematic error in computational thermochemistry. Physical Chemistry Chemical Physics. 25(32). 21162–21172. 7 indexed citations
11.
Nguyen, Thanh Lam, et al.. (2022). Mechanism, thermochemistry, and kinetics of the reversible reactions: C2H3 + H2 ⇌ C2H4 + H ⇌ C2H5. Faraday Discussions. 238(0). 405–430. 2 indexed citations
12.
Thorpe, James H., David Feller, P. Bryan Changala, et al.. (2021). Elaborated thermochemical treatment of HF, CO, N2, and H2O: Insight into HEAT and its extensions. The Journal of Chemical Physics. 155(18). 184109–184109. 23 indexed citations
13.
Zaleski, Daniel P., Raghu Sivaramakrishnan, Nathan A. Seifert, et al.. (2021). Substitution Reactions in the Pyrolysis of Acetone Revealed through a Modeling, Experiment, Theory Paradigm. Journal of the American Chemical Society. 143(8). 3124–3142. 36 indexed citations
14.
Thorpe, James H., Thanh Lam Nguyen, Joshua H. Baraban, et al.. (2019). High-accuracy extrapolated ab initio thermochemistry. IV. A modified recipe for computational efficiency. The Journal of Chemical Physics. 150(22). 224102–224102. 63 indexed citations
15.
Dawes, Richard, et al.. (2019). An Automated Thermochemistry Protocol Based on Explicitly Correlated Coupled-Cluster Theory: The Methyl and Ethyl Peroxy Families. The Journal of Physical Chemistry A. 123(26). 5673–5682. 5 indexed citations
16.
Bross, David H., Hua‐Gen Yu, Lawrence B. Harding, & Branko Ruščić. (2019). Active Thermochemical Tables: The Partition Function of Hydroxymethyl (CH2OH) Revisited. The Journal of Physical Chemistry A. 123(19). 4212–4231. 11 indexed citations
17.
Feller, David, David H. Bross, & Branko Ruščić. (2019). Enthalpy of Formation of C2H2O4 (Oxalic Acid) from High-Level Calculations and the Active Thermochemical Tables Approach. The Journal of Physical Chemistry A. 123(16). 3481–3496. 12 indexed citations
18.
Changala, P. Bryan, Thanh Lam Nguyen, Joshua H. Baraban, et al.. (2017). Active Thermochemical Tables: The Adiabatic Ionization Energy of Hydrogen Peroxide. The Journal of Physical Chemistry A. 121(46). 8799–8806. 35 indexed citations
19.
Roy, S. K., Tian Jian, Gary V. Lopez, et al.. (2016). A combined photoelectron spectroscopy and relativistic ab initio studies of the electronic structures of UFO and UFO−. The Journal of Chemical Physics. 144(8). 84309–84309. 3 indexed citations
20.
Bross, David H. & Kirk A. Peterson. (2013). Correlation consistent, Douglas–Kroll–Hess relativistic basis sets for the 5p and 6p elements. Theoretical Chemistry Accounts. 133(2). 72 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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