Fani Boukouvala

3.1k total citations
50 papers, 2.2k citations indexed

About

Fani Boukouvala is a scholar working on Computational Theory and Mathematics, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Fani Boukouvala has authored 50 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computational Theory and Mathematics, 16 papers in Control and Systems Engineering and 11 papers in Mechanical Engineering. Recurrent topics in Fani Boukouvala's work include Advanced Multi-Objective Optimization Algorithms (17 papers), Advanced Control Systems Optimization (12 papers) and Probabilistic and Robust Engineering Design (9 papers). Fani Boukouvala is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (17 papers), Advanced Control Systems Optimization (12 papers) and Probabilistic and Robust Engineering Design (9 papers). Fani Boukouvala collaborates with scholars based in United States, Canada and Finland. Fani Boukouvala's co-authors include Christodoulos A. Floudas, Marianthi Ierapetritou, M. M. Faruque Hasan, Eric L. First, Fernando J. Muzzio, Ruth Misener, Rohit Ramachnadran, Burcu Beykal, William A. Bradley and Efstratios N. Pistikopoulos and has published in prestigious journals such as Chemical Engineering Journal, European Journal of Operational Research and Industrial & Engineering Chemistry Research.

In The Last Decade

Fani Boukouvala

49 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fani Boukouvala United States 25 799 689 468 240 217 50 2.2k
Urmila M. Diwekar United States 35 1.7k 2.1× 663 1.0× 675 1.4× 548 2.3× 192 0.9× 193 4.1k
Carl D. Laird United States 27 1.4k 1.8× 263 0.4× 333 0.7× 200 0.8× 72 0.3× 90 3.5k
Benoît Chachuat United Kingdom 30 1.7k 2.1× 309 0.4× 360 0.8× 241 1.0× 65 0.3× 148 3.0k
Michael Bâldea United States 39 2.9k 3.6× 815 1.2× 195 0.4× 423 1.8× 117 0.5× 208 4.8k
Sandro Macchietto United Kingdom 34 1.9k 2.4× 511 0.7× 499 1.1× 692 2.9× 231 1.1× 129 3.9k
Selen Cremaschi United States 16 264 0.3× 324 0.5× 199 0.4× 269 1.1× 97 0.4× 71 1.1k
Curran Crawford Canada 34 455 0.6× 313 0.5× 141 0.3× 188 0.8× 591 2.7× 171 4.1k
Vinay Prasad Canada 31 539 0.7× 642 0.9× 112 0.2× 435 1.8× 61 0.3× 136 3.7k
Jinlong Li China 26 784 1.0× 556 0.8× 813 1.7× 411 1.7× 209 1.0× 172 2.8k
C.C. Pantelides United Kingdom 17 538 0.7× 270 0.4× 317 0.7× 250 1.0× 148 0.7× 25 1.4k

Countries citing papers authored by Fani Boukouvala

Since Specialization
Citations

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

Fields of papers citing papers by Fani Boukouvala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fani Boukouvala

This figure shows the co-authorship network connecting the top 25 collaborators of Fani Boukouvala. A scholar is included among the top collaborators of Fani Boukouvala 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 Fani Boukouvala. Fani Boukouvala 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.
Chang, Y. A., J.N. Sweet, Arvind Ganesan, et al.. (2025). Enabling Informed Decisions on Pyrolysis: A Key to Turn the Tide on Plastics Recycling. ACS Sustainable Chemistry & Engineering. 13(23). 8496–8507. 4 indexed citations
2.
Boukouvala, Fani, et al.. (2025). A cradle-to-gate life cycle assessment of mechanochemical recycling of poly(ethylene terephthalate) waste. Chemical Engineering Journal. 524. 168719–168719. 1 indexed citations
3.
Kim, Jinsu, Keisuke Ikeda, Hiroshi Kajiro, et al.. (2024). Surrogate model optimization of vacuum pressure swing adsorption using a flexible metal organic framework with hysteretic sigmoidal isotherms. International journal of greenhouse gas control. 138. 104260–104260. 6 indexed citations
4.
5.
Boukouvala, Fani, et al.. (2024). Micro-kinetic modeling of temporal analysis of products data using kinetics-informed neural networks. Digital Discovery. 3(11). 2327–2340.
6.
Blakely, Logan, et al.. (2024). Physics-informed machine learning with optimization-based guarantees: Applications to AC power flow. International Journal of Electrical Power & Energy Systems. 157. 109741–109741. 9 indexed citations
7.
Daoutidis, Pródromos, Jay H. Lee, Srinivas Rangarajan, et al.. (2023). Machine learning in process systems engineering: Challenges and opportunities. Computers & Chemical Engineering. 181. 108523–108523. 47 indexed citations
8.
Bradley, William A., et al.. (2023). Enabling global interpolation, derivative estimation and model identification from sparse multi-experiment time series data via neural ODEs. Engineering Applications of Artificial Intelligence. 130. 107611–107611. 3 indexed citations
9.
Ganesan, Arvind, Y. A. Chang, Kinga Gołą̨bek, et al.. (2023). Process development and techno-economic analysis for mechanochemical recycling of poly(ethylene terephthalate). Chemical Engineering Journal. 481. 148278–148278. 22 indexed citations
10.
11.
Tricker, Andrew W., Arvind Ganesan, Fani Boukouvala, et al.. (2022). Stages and Kinetics of Mechanochemical Depolymerization of Poly(ethylene terephthalate) with Sodium Hydroxide. ACS Sustainable Chemistry & Engineering. 10(34). 11338–11347. 45 indexed citations
12.
Verrett, Jonathan, Fani Boukouvala, Alexander W. Dowling, Zachary W. Ulissi, & Ví­ctor M. Zavala. (2020). Computational Notebooks in Chemical Engineering Curricula. Chemical Engineering Education. 54(3). 6 indexed citations
13.
Boukouvala, Fani, et al.. (2019). Nonlinear variable selection algorithms for surrogate modeling. AIChE Journal. 65(8). 8 indexed citations
14.
Sinha, A.S.K., et al.. (2019). Managing uncertainty in data-driven simulation-based optimization. Computers & Chemical Engineering. 136. 106519–106519. 51 indexed citations
15.
Beykal, Burcu, Fani Boukouvala, Christodoulos A. Floudas, & Efstratios N. Pistikopoulos. (2018). Optimal design of energy systems using constrained grey-box multi-objective optimization. Computers & Chemical Engineering. 116. 488–502. 68 indexed citations
16.
Gildin, Eduardo, et al.. (2017). Dimensionality reduction for production optimization using polynomial approximations. Computational Geosciences. 21(2). 247–266. 33 indexed citations
17.
Hasan, M. M. Faruque, Eric L. First, Fani Boukouvala, & Christodoulos A. Floudas. (2015). A multi-scale framework for CO2 capture, utilization, and sequestration: CCUS and CCU. Computers & Chemical Engineering. 81. 2–21. 290 indexed citations
18.
Boukouvala, Fani. (2013). Integrated simulation and optimization of continuous pharmaceutical manufacturing. Rutgers University Community Repository (Rutgers University). 4 indexed citations
19.
Dubey, Atul, et al.. (2012). Improvement of Tablet Coating Uniformity Using a Quality by Design Approach. AAPS PharmSciTech. 13(1). 231–246. 22 indexed citations
20.
Boukouvala, Fani, Atul Dubey, Aditya U. Vanarase, et al.. (2011). Computational Approaches for Studying the Granular Dynamics of Continuous Blending Processes, 2 – Population Balance and Data‐Based Methods. Macromolecular Materials and Engineering. 297(1). 9–19. 39 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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