Michael Bâldea

6.2k total citations
208 papers, 4.8k citations indexed

About

Michael Bâldea is a scholar working on Control and Systems Engineering, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Michael Bâldea has authored 208 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 146 papers in Control and Systems Engineering, 38 papers in Mechanical Engineering and 33 papers in Electrical and Electronic Engineering. Recurrent topics in Michael Bâldea's work include Advanced Control Systems Optimization (111 papers), Process Optimization and Integration (97 papers) and Fault Detection and Control Systems (53 papers). Michael Bâldea is often cited by papers focused on Advanced Control Systems Optimization (111 papers), Process Optimization and Integration (97 papers) and Fault Detection and Control Systems (53 papers). Michael Bâldea collaborates with scholars based in United States, Germany and Bulgaria. Michael Bâldea's co-authors include Thomas F. Edgar, Richard C. Pattison, Cara R. Touretzky, Iiro Harjunkoski, Pródromos Daoutidis, Calvin Tsay, Ross Baldick, Krystian X. Perez, Ankur Kumar and Juan Du and has published in prestigious journals such as Nucleic Acids Research, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.

In The Last Decade

Michael Bâldea

198 papers receiving 4.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Bâldea United States 39 2.9k 953 815 492 434 208 4.8k
Ví­ctor M. Zavala United States 38 2.4k 0.8× 1.4k 1.5× 537 0.7× 493 1.0× 452 1.0× 218 6.3k
Wenli Du China 36 1.8k 0.6× 834 0.9× 860 1.1× 669 1.4× 79 0.2× 320 5.9k
Yufei Wang China 31 1.0k 0.4× 741 0.8× 978 1.2× 377 0.8× 182 0.4× 205 3.2k
Ferenc Friedler Hungary 26 1.7k 0.6× 307 0.3× 427 0.5× 311 0.6× 124 0.3× 158 3.1k
Raghunathan Rengaswamy United States 40 6.6k 2.3× 1.2k 1.2× 2.4k 3.0× 566 1.2× 77 0.2× 190 8.6k
Urmila M. Diwekar United States 35 1.7k 0.6× 391 0.4× 663 0.8× 222 0.5× 67 0.2× 193 4.1k
Nan Zhang China 31 840 0.3× 332 0.3× 860 1.1× 296 0.6× 146 0.3× 180 2.8k
Carlos Ocampo‐Martínez Spain 34 1.8k 0.6× 1.6k 1.7× 280 0.3× 580 1.2× 65 0.1× 243 4.6k
Yongming Han China 40 1.3k 0.4× 820 0.9× 764 0.9× 528 1.1× 490 1.1× 232 5.3k
Antonio Flores‐Tlacuahuac Mexico 29 1.3k 0.4× 389 0.4× 432 0.5× 128 0.3× 72 0.2× 110 2.5k

Countries citing papers authored by Michael Bâldea

Since Specialization
Citations

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

Fields of papers citing papers by Michael Bâldea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Bâldea

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Bâldea. A scholar is included among the top collaborators of Michael Bâldea 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 Michael Bâldea. Michael Bâldea 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.
Bâldea, Michael, et al.. (2025). Dynamic Scheduling: A Comparison of High-Fidelity Models with Local Optimization versus Surrogate Models with Global Optimization. Industrial & Engineering Chemistry Research. 64(45). 21641–21657.
2.
Bâldea, Michael, et al.. (2025). Probing the Impact of Electric Heating on the Design, Dynamics, and Operation of Integrated Chemical Processes. Industrial & Engineering Chemistry Research. 64(11). 6043–6059.
3.
Bâldea, Michael, et al.. (2025). From automated to autonomous process operations. Computers & Chemical Engineering. 196. 109064–109064. 7 indexed citations
4.
Bâldea, Michael, et al.. (2025). A demand bidding model for multi-product industrial plants. Computers & Chemical Engineering. 204. 109349–109349.
5.
Bâldea, Michael, Elizabeth Endler, Elaine Hale, et al.. (2025). Transforming the Process Industries through Electrification: Challenges and Opportunities. Industrial & Engineering Chemistry Research. 64(34). 16466–16478.
6.
Bâldea, Michael, et al.. (2024). Short-term solar irradiance forecasting under data transmission constraints. Renewable Energy. 233. 121058–121058. 4 indexed citations
7.
Bâldea, Michael, Linda J. Broadbelt, Marianthi Ierapetritou, et al.. (2024). 2023 in Retrospective: Trends in Chemical Engineering. Industrial & Engineering Chemistry Research. 2 indexed citations
8.
Bâldea, Michael, et al.. (2024). The Impact of Electri?ed Process Heating on Process Design, Control and Operations. 3. 570–577. 1 indexed citations
9.
Bindlish, Rahul, Michael Bâldea, Iiro Harjunkoski, & Ví­ctor M. Zavala. (2023). Trends and perspectives in computed-aided process operations and control. Computers & Chemical Engineering. 182. 108575–108575.
10.
Harrison, Christopher A., et al.. (2023). A Bayesian approach to improving production planning. Computers & Chemical Engineering. 173. 108226–108226. 5 indexed citations
11.
Broadbelt, Linda J., et al.. (2023). A dynamic nonlinear optimization framework for learning data-driven reduced-order microkinetic models. Chemical Engineering Journal. 462. 142089–142089. 9 indexed citations
12.
Bâldea, Michael, et al.. (2023). Thermophysical property prediction of anion-functionalized ionic liquids for CO2 capture. Journal of Molecular Liquids. 393. 123634–123634. 8 indexed citations
13.
Rochelle, Gary T., et al.. (2023). Lessons Learned: Comparing Two Detailed Capital Cost Estimates for Carbon Capture by Amine Scrubbing. Industrial & Engineering Chemistry Research. 62(10). 4433–4443. 11 indexed citations
14.
Edgar, Thomas F., et al.. (2023). Simultaneous design and operational optimization for flexible carbon capture process using ionic liquids. Computers & Chemical Engineering. 178. 108344–108344. 10 indexed citations
15.
Nordness, Oscar, et al.. (2021). Predicting thermophysical properties of dialkylimidazolium ionic liquids from sigma profiles. Journal of Molecular Liquids. 334. 116019–116019. 28 indexed citations
16.
Fritz, Hagen, et al.. (2020). Indoor air quality and energy management in buildings using combined moving horizon estimation and model predictive control. Journal of Building Engineering. 33. 101552–101552. 34 indexed citations
17.
Dean, David P., Thomas F. Edgar, Michael Bâldea, et al.. (2020). Product Value Modeling for a Natural Gas Liquid to Liquid Transportation Fuel Process. Industrial & Engineering Chemistry Research. 59(7). 3109–3119. 12 indexed citations
18.
Bâldea, Michael, et al.. (2014). Optimizing Metabolite Production Using Periodic Oscillations. PLoS Computational Biology. 10(6). e1003658–e1003658. 20 indexed citations
19.
Bâldea, Michael, Mircea Vasile Cristea, & Paul Șerban Agachi. (2002). A fuzzy logic approach to the control of the drying process. Hungarian Journal of Industry and Chemistry. 30(3). 167–170. 1 indexed citations
20.
Sârbu, Costel, et al.. (2000). Evaluation and Validation of Analytical Methods By Regression Analysis. Reviews in Analytical Chemistry. 19(6). 467–490. 3 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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