Brian Novak

868 total citations
29 papers, 696 citations indexed

About

Brian Novak is a scholar working on Molecular Biology, Biomedical Engineering and Atmospheric Science. According to data from OpenAlex, Brian Novak has authored 29 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Biomedical Engineering and 6 papers in Atmospheric Science. Recurrent topics in Brian Novak's work include nanoparticles nucleation surface interactions (6 papers), Aluminum Alloy Microstructure Properties (4 papers) and Solidification and crystal growth phenomena (4 papers). Brian Novak is often cited by papers focused on nanoparticles nucleation surface interactions (6 papers), Aluminum Alloy Microstructure Properties (4 papers) and Solidification and crystal growth phenomena (4 papers). Brian Novak collaborates with scholars based in United States, Netherlands and Canada. Brian Novak's co-authors include Dorel Moldovan, Maryanne M. Collinson, Edward J. Maginn, Mark J. McCready, Xinjie Tong, Mohsen Asle Zaeem, Joseph C. Stevens, Justin K. Mobley, Pranjali Muley and Jian Shi and has published in prestigious journals such as Analytical Chemistry, The Journal of Physical Chemistry B and Physical Review B.

In The Last Decade

Brian Novak

28 papers receiving 672 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian Novak United States 14 216 183 135 126 105 29 696
Juncheng Liu China 20 344 1.6× 393 2.1× 95 0.7× 76 0.6× 17 0.2× 89 1.2k
Xiaona Zhang China 13 140 0.6× 219 1.2× 112 0.8× 39 0.3× 11 0.1× 66 709
Yi Liang China 18 184 0.9× 97 0.5× 76 0.6× 155 1.2× 23 0.2× 69 944
Zhihua Zhao China 20 335 1.6× 233 1.3× 87 0.6× 70 0.6× 17 0.2× 156 1.4k
Rongrong Wang China 23 225 1.0× 438 2.4× 96 0.7× 75 0.6× 16 0.2× 57 1.4k
Yuxuan Liao China 16 204 0.9× 307 1.7× 181 1.3× 40 0.3× 12 0.1× 47 773
Chuntao Wang China 23 101 0.5× 485 2.7× 145 1.1× 178 1.4× 5 0.0× 120 1.7k
Xiao Xiao China 23 883 4.1× 225 1.2× 157 1.2× 131 1.0× 7 0.1× 87 1.6k
Liming Gao China 14 164 0.8× 170 0.9× 97 0.7× 23 0.2× 15 0.1× 93 703
Amit Banerjee India 17 142 0.7× 240 1.3× 129 1.0× 42 0.3× 6 0.1× 53 928

Countries citing papers authored by Brian Novak

Since Specialization
Citations

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

Fields of papers citing papers by Brian Novak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Novak

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Novak. A scholar is included among the top collaborators of Brian Novak 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 Novak. Brian Novak 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.
2.
Novak, Brian, et al.. (2021). Quantitative prediction of rapid solidification by integrated atomistic and phase-field modeling. Acta Materialia. 211. 116885–116885. 18 indexed citations
3.
Tong, Xinjie, Brian Novak, Bert C. Lynn, et al.. (2021). Interaction of lignin dimers with model cell membranes: A quartz crystal microbalance and molecular dynamics simulation study. Biointerphases. 16(4). 41003–41003. 4 indexed citations
4.
5.
Novak, Brian, et al.. (2021). Molecular dynamics simulation study of the positioning and dynamics of α-tocopherol in phospholipid bilayers. European Biophysics Journal. 50(6). 889–903. 8 indexed citations
6.
Tong, Xinjie, et al.. (2021). Single Nucleotides Moving through Nanoslits Composed of Self-Assembled Monolayers via Equilibrium and Nonequilibrium Molecular Dynamics. The Journal of Physical Chemistry B. 125(4). 1259–1270. 2 indexed citations
7.
Novak, Brian, et al.. (2020). Interface kinetics of rapid solidification of binary alloys by atomistic simulations: Application to Ti-Ni alloys. Computational Materials Science. 184. 109854–109854. 29 indexed citations
8.
Novak, Brian, et al.. (2019). Modified embedded-atom method potential for high-temperature crystal-melt properties of Ti–Ni alloys and its application to phase field simulation of solidification. Modelling and Simulation in Materials Science and Engineering. 28(1). 15006–15006. 33 indexed citations
9.
Tong, Xinjie, Brian Novak, Barbara L. Knutson, et al.. (2019). Experimental and Molecular Dynamics Simulation Study of the Effects of Lignin Dimers on the Gel-to-Fluid Phase Transition in DPPC Bilayers. The Journal of Physical Chemistry B. 123(39). 8247–8260. 16 indexed citations
10.
11.
Walker, Nicholas, Ka-Ming Tam, Brian Novak, & Mark Jarrell. (2018). Identifying structural changes with unsupervised machine learning methods. Physical review. E. 98(5). 11 indexed citations
12.
Kim, Hyeyoung, et al.. (2017). The role of the asymmetric bolaamphiphilic character of VECAR on the kinetic and structural aspects of its self-assembly: A molecular dynamics simulation study. Colloids and Surfaces A Physicochemical and Engineering Aspects. 523. 9–18. 2 indexed citations
13.
Novak, Brian, Carlos E. Astete, Cristina M. Sabliov, & Dorel Moldovan. (2012). Interaction of PLGA and trimethyl chitosan modified PLGA nanoparticles with mixed anionic/zwitterionic phospholipid bilayers studied using molecular dynamics simulations. Bulletin of the American Physical Society. 2012. 3 indexed citations
14.
Jha, Shantenu, et al.. (2012). Multi-species Fluid Flow Simulations Using a Hybrid Computational Fluid Dynamics - Molecular Dynamics Approach. Civil War Book Review. 1 indexed citations
15.
Novak, Brian, et al.. (2011). Molecular Dynamics Simulation Study of the Effect of DMSO on Structural and Permeation Properties of DMPC Lipid Bilayers. The Journal of Physical Chemistry B. 116(4). 1299–1308. 28 indexed citations
16.
Novak, Brian, Dorel Moldovan, Grover L. Waldrop, & Marcio de Queiroz. (2010). Behavior of the ATP grasp domain of biotin carboxylase monomers and dimers studied using molecular dynamics simulations. Proteins Structure Function and Bioinformatics. 79(2). 622–632. 6 indexed citations
17.
Novak, Brian, Edward J. Maginn, & Mark J. McCready. (2008). An Atomistic Simulation Study of the Role of Asperities and Indentations on Heterogeneous Bubble Nucleation. Journal of Heat Transfer. 130(4). 30 indexed citations
18.
Huang, Huimin, et al.. (2006). A Framework for Autonomy Levels for Unmanned Systems (ALFUS) | NIST. 3 indexed citations
19.
Huang, Huimin, et al.. (2004). Autonomy Measures for Robots. 1241–1247. 28 indexed citations
20.
Collinson, Maryanne M., et al.. (2000). Electrochemiluminescence of Ruthenium(II) Tris(bipyridine) Encapsulated in Sol−Gel Glasses. Analytical Chemistry. 72(13). 2914–2918. 111 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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