Richard D. Braatz

52.0k total citations · 9 hit papers
542 papers, 23.6k citations indexed

About

Richard D. Braatz is a scholar working on Control and Systems Engineering, Materials Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Richard D. Braatz has authored 542 papers receiving a total of 23.6k indexed citations (citations by other indexed papers that have themselves been cited), including 228 papers in Control and Systems Engineering, 127 papers in Materials Chemistry and 99 papers in Electrical and Electronic Engineering. Recurrent topics in Richard D. Braatz's work include Advanced Control Systems Optimization (134 papers), Fault Detection and Control Systems (113 papers) and Crystallization and Solubility Studies (94 papers). Richard D. Braatz is often cited by papers focused on Advanced Control Systems Optimization (134 papers), Fault Detection and Control Systems (113 papers) and Crystallization and Solubility Studies (94 papers). Richard D. Braatz collaborates with scholars based in United States, Germany and Singapore. Richard D. Braatz's co-authors include Leo H. Chiang, Evan L. Russell, Zoltán K. Nagy, Martin Z. Bazant, Mitsuko Fujiwara, Kristen Severson, Jeremy G. VanAntwerp, Benben Jiang, William C. Chueh and Patrick K. Herring and has published in prestigious journals such as Nature, Physical Review Letters and Chemical Society Reviews.

In The Last Decade

Richard D. Braatz

513 papers receiving 22.8k citations

Hit Papers

Data-driven prediction... 2000 2026 2008 2017 2019 2022 2001 2020 2000 500 1000 1.5k
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.

  1. Data-driven prediction of battery cycle life before capacity degradation
    2019 2.0k citations Benben Jiang, Dimitrios Fraggedakis et al. profile →
  2. Water electrolysis: from textbook knowledge to the latest scientific strategies and industrial developments
    2022 1.3k citations Richard D. Braatz, Martin Z. Bazant et al. profile →
  3. Fault Detection and Diagnosis in Industrial Systems
    2001 961 citations Richard D. Braatz et al. profile →
  4. Closed-loop optimization of fast-charging protocols for batteries with machine learning
    2020 748 citations Richard D. Braatz, William C. Chueh et al. Nature profile →
  5. Fault diagnosis in chemical processes using Fisher discriminant analysis, discriminant partial least squares, and principal component analysis
    2000 509 citations Richard D. Braatz et al. profile →
  6. End‐to‐End Continuous Manufacturing of Pharmaceuticals: Integrated Synthesis, Purification, and Final Dosage Formation
    2013 469 citations Richard Lakerveld, Richard D. Braatz et al. profile →
  7. Modeling and simulation of lithium-ion batteries from a systems engineering perspective
    2016 452 citations Richard D. Braatz et al. profile →
  8. Fault detection in industrial processes using canonical variate analysis and dynamic principal component analysis
    2000 419 citations Richard D. Braatz et al. profile →
  9. A tutorial on linear and bilinear matrix inequalities
    2000 418 citations Richard D. Braatz et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard D. Braatz United States 73 8.3k 6.8k 6.1k 5.1k 2.9k 542 23.6k
Lorenz T. Biegler United States 73 16.5k 2.0× 2.7k 0.4× 1.2k 0.2× 1.2k 0.2× 3.7k 1.3× 539 28.0k
Weihua Li China 83 3.9k 0.5× 4.3k 0.6× 1.6k 0.3× 2.3k 0.5× 6.5k 2.3× 835 27.2k
James B. Rawlings United States 66 19.6k 2.4× 2.8k 0.4× 1.5k 0.2× 1.4k 0.3× 1.4k 0.5× 220 25.3k
Éric Walter France 58 3.9k 0.5× 2.3k 0.3× 3.9k 0.6× 652 0.1× 1.4k 0.5× 325 14.5k
Michael Pecht United States 91 10.6k 1.3× 21.6k 3.2× 1.8k 0.3× 15.7k 3.1× 7.0k 2.5× 1.0k 39.5k
Xiaodong Wang China 87 1.4k 0.2× 8.2k 1.2× 7.7k 1.3× 787 0.2× 6.7k 2.4× 1.5k 31.4k
Kai Sundmacher Germany 58 2.6k 0.3× 3.8k 0.6× 4.1k 0.7× 531 0.1× 2.3k 0.8× 547 14.0k
Christodoulos A. Floudas United States 89 12.2k 1.5× 1.6k 0.2× 2.0k 0.3× 303 0.1× 2.3k 0.8× 379 25.9k
Panagiotis D. Christofides United States 70 11.3k 1.4× 2.3k 0.3× 2.2k 0.4× 302 0.1× 1.4k 0.5× 511 17.6k
Youmin Zhang Canada 76 14.0k 1.7× 2.3k 0.3× 960 0.2× 1.6k 0.3× 1.6k 0.5× 798 25.7k

Countries citing papers authored by Richard D. Braatz

Since Specialization
Citations

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

Fields of papers citing papers by Richard D. Braatz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard D. Braatz. 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 Richard D. Braatz. The network helps show where Richard D. Braatz may publish in the future.

Co-authorship network of co-authors of Richard D. Braatz

This figure shows the co-authorship network connecting the top 25 collaborators of Richard D. Braatz. A scholar is included among the top collaborators of Richard D. Braatz 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 Richard D. Braatz. Richard D. Braatz 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.
Findeisen, Rolf, et al.. (2025). Interpretation of high-dimensional regression coefficients by comparison with linearized compressing features. Computers & Chemical Engineering. 198. 109099–109099. 1 indexed citations
2.
Sagmeister, Peter, Pavan Inguva, Étienne Boulais, et al.. (2025). Structure and Morphology of Lipid Nanoparticles for Nucleic Acid Drug Delivery: A Review. ACS Nano. 19(23). 21206–21242. 7 indexed citations
3.
Sagmeister, Peter, Julie Chen, Jiejun Ren, et al.. (2025). Manufacturing mRNA-Loaded Lipid Nanoparticles with Precise Size and Morphology Control. ACS Nano. 19(38). 33991–34002.
4.
Vetter, Thomas, Gerard Capellades, Kevin P. Girard, et al.. (2025). Reflecting on barriers to continuous pharmaceutical crystallization. 2(9). 520–523.
5.
Ma, Yingjie, Jing Guo, Andrew J. Maloney, & Richard D. Braatz. (2025). Quasi-steady-state approach for efficient multiscale simulation and optimization of mAb glycosylation in CHO cell culture. Chemical Engineering Science. 318. 122162–122162.
6.
Inguva, Pavan, et al.. (2024). Advanced methodologies for model-based optimization and control of pharmaceutical processes. Current Opinion in Chemical Engineering. 45. 101035–101035. 9 indexed citations
7.
Braatz, Richard D., et al.. (2024). Learning Model Predictive Control Parameters via Bayesian Optimization for Battery Fast Charging. IFAC-PapersOnLine. 58(14). 742–747. 1 indexed citations
8.
Hong, Moo Sun, et al.. (2024). Investigation of particle flow effects in slug flow crystallization using the multiscale computational fluid dynamics simulation. Chemical Engineering Science. 297. 120238–120238. 4 indexed citations
9.
Srinivasan, Prasanna, John Joseph, Caleb Neufeld, et al.. (2024). The state of technological advancement to address challenges in the manufacture of rAAV gene therapies. Biotechnology Advances. 76. 108433–108433. 8 indexed citations
10.
Kim, Minsu, et al.. (2024). Fast Charging of Lithium-Ion Batteries While Accounting for Degradation and Cell-to-Cell Variability. Journal of The Electrochemical Society. 171(9). 90517–90517. 3 indexed citations
11.
Braatz, Richard D., et al.. (2024). Recurrent neural network-based prediction of O-GlcNAcylation sites in mammalian proteins. Computers & Chemical Engineering. 189. 108818–108818. 1 indexed citations
12.
Liang, Qiaohao, et al.. (2024). Modeling of pulse and relaxation of high-rate Li/CFx-SVO batteries in implantable medical devices. Journal of Power Sources. 610. 234671–234671. 1 indexed citations
13.
Berliner, Marc D., et al.. (2023). Nonlinear identifiability analysis of Multiphase Porous Electrode Theory-based battery models: A Lithium Iron Phosphate case study. Journal of Power Sources. 573. 233009–233009. 16 indexed citations
14.
Berliner, Marc D., et al.. (2023). Efficient computation of safe, fast charging protocols for multiphase lithium-ion batteries: A lithium iron phosphate case study. Journal of Power Sources. 580. 233272–233272. 17 indexed citations
15.
Zhao, Hongbo, Haitao Deng, Jongwoo Lim, et al.. (2023). Learning heterogeneous reaction kinetics from X-ray videos pixel by pixel. Nature. 621(7978). 289–294. 56 indexed citations
16.
Braatz, Richard D., et al.. (2022). Machine learning of phase diagrams. Materials Advances. 3(23). 8485–8497. 8 indexed citations
17.
Tenny, Kevin M., Richard D. Braatz, Yet‐Ming Chiang, & Fikile R. Brushett. (2021). Leveraging Neural Networks and Genetic Algorithms to Refine Electrode Properties in Redox Flow Batteries. Journal of The Electrochemical Society. 168(5). 50547–50547. 9 indexed citations
18.
Shah, Sirish L., Bhavik R. Bakshi, Jinfeng Liu, et al.. (2020). Meeting the challenge of water sustainability: The role of process systems engineering. AIChE Journal. 67(2). 8 indexed citations
19.
Mesbah, Ali, Joel A. Paulson, Richard Lakerveld, & Richard D. Braatz. (2015). Plant-wide model predictive control for a continuous pharmaceutical process. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 4301–4307. 11 indexed citations
20.
Braatz, Richard D., et al.. (2013). The "Nobel Prize in engineering" awarded for the design of a feedback control system [From the Editor]. IEEE Control Systems. 33(5). 6–7.

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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