Fernando V. Lima

1.3k total citations
89 papers, 859 citations indexed

About

Fernando V. Lima is a scholar working on Control and Systems Engineering, Mechanical Engineering and Catalysis. According to data from OpenAlex, Fernando V. Lima has authored 89 papers receiving a total of 859 indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Control and Systems Engineering, 21 papers in Mechanical Engineering and 10 papers in Catalysis. Recurrent topics in Fernando V. Lima's work include Advanced Control Systems Optimization (43 papers), Process Optimization and Integration (31 papers) and Fault Detection and Control Systems (30 papers). Fernando V. Lima is often cited by papers focused on Advanced Control Systems Optimization (43 papers), Process Optimization and Integration (31 papers) and Fault Detection and Control Systems (30 papers). Fernando V. Lima collaborates with scholars based in United States, Brazil and Poland. Fernando V. Lima's co-authors include Christos Georgakis, Juan Carlos Carrasco, James B. Rawlings, Xin He, Marianthi Ierapetritou, Zhenya Jia, Shuyun Li, Pródromos Daoutidis, Gerardo J. Ruiz‐Mercado and Michael Tsapatsis and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Hydrogen Energy and Industrial & Engineering Chemistry Research.

In The Last Decade

Fernando V. Lima

80 papers receiving 850 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fernando V. Lima United States 17 519 194 97 90 87 89 859
Diego Martinez Prata Brazil 16 367 0.7× 193 1.0× 107 1.1× 59 0.7× 80 0.9× 45 803
Manojkumar Ramteke India 16 262 0.5× 154 0.8× 78 0.8× 100 1.1× 122 1.4× 64 772
Seongmin Heo South Korea 17 354 0.7× 211 1.1× 131 1.4× 150 1.7× 78 0.9× 53 830
Calvin Tsay United States 17 422 0.8× 173 0.9× 110 1.1× 110 1.2× 43 0.5× 37 725
Erik Esche Germany 18 266 0.5× 243 1.3× 155 1.6× 116 1.3× 188 2.2× 71 846
Xin Zhu China 24 793 1.5× 456 2.4× 229 2.4× 101 1.1× 60 0.7× 57 1.4k
Xiuxi Li China 16 275 0.5× 265 1.4× 172 1.8× 57 0.6× 69 0.8× 34 878
Pascal Floquet France 18 422 0.8× 164 0.8× 200 2.1× 37 0.4× 69 0.8× 64 799
Richard C. Pattison United States 16 591 1.1× 200 1.0× 104 1.1× 131 1.5× 56 0.6× 24 816
Yuhe Tian United States 12 383 0.7× 114 0.6× 117 1.2× 50 0.6× 52 0.6× 36 613

Countries citing papers authored by Fernando V. Lima

Since Specialization
Citations

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

Fields of papers citing papers by Fernando V. Lima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando V. Lima. 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 Fernando V. Lima. The network helps show where Fernando V. Lima may publish in the future.

Co-authorship network of co-authors of Fernando V. Lima

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando V. Lima. A scholar is included among the top collaborators of Fernando V. Lima 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 Fernando V. Lima. Fernando V. Lima 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.
Li, Wenyuan, et al.. (2025). Macro-level Electrochemical Modeling Strategies of Low-Temperature and High-Temperature Electrolyzers for Hydrogen Production: A Review. Industrial & Engineering Chemistry Research. 64(23). 11129–11152. 3 indexed citations
2.
Lima, Fernando V., et al.. (2025). Modeling and Process Operability Analysis of the Proton Conducting Solid Oxide Electrolysis Cell (H+- SOEC) for Efficient Hydrogen Production. International Journal of Hydrogen Energy. 145. 485–495. 1 indexed citations
3.
Lima, Fernando V., et al.. (2025). Risk-based process design and operations through an operability approach. Process Safety and Environmental Protection. 217. 1–12.
4.
5.
Lima, Fernando V., Yuhe Tian, Helen Durand, Joel A. Paulson, & Lorenz T. Biegler. (2025). Innovations in chemical process control: challenges and opportunities. Current Opinion in Chemical Engineering. 48. 101148–101148.
6.
Neiro, Sérgio Mauro da Silva, et al.. (2025). Operability for process flowsheet analysis. Digital Chemical Engineering. 15. 100229–100229.
7.
Lima, Fernando V., et al.. (2024). Self-stabilizing economic nonlinear model predictive control applied to modular systems. Computers & Chemical Engineering. 191. 108825–108825. 1 indexed citations
8.
Lima, Fernando V., et al.. (2024). On the selection of control structures using process operability analysis. Control Engineering Practice. 153. 106117–106117. 1 indexed citations
9.
Lima, Fernando V., et al.. (2024). Sustainability and dialysis: the 4 main points for a green dialysis. SHILAP Revista de lepidopterología. 36(1). 72–82.
10.
Kitchin, John R., et al.. (2024). Opyrability: A Python package for process operabilityanalysis. The Journal of Open Source Software. 9(94). 5966–5966. 9 indexed citations
11.
Lima, Fernando V., et al.. (2024). Neutron imaging of exchange flow between biopore and matrix for Bt versus C horizons. Vadose Zone Journal. 23(4).
12.
Lima, Fernando V., et al.. (2024). Synergistic cotreatment of cooling tower blowdown and produced waters: Techno-economic, sustainability, and optimization systems analyses. Desalination and Water Treatment. 320. 100779–100779.
13.
Ribeiro, Marcelo Perencin de Arruda, et al.. (2023). State and covariance estimation of a semi-batch reactor for bioprocess applications. Computers & Chemical Engineering. 172. 108180–108180. 3 indexed citations
14.
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
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Lima, Fernando V., et al.. (2022). A techno‐economic analysis framework for intensified modular systems. 4(3). 8 indexed citations
18.
Lima, Fernando V., et al.. (2022). Modeling and Process Operability Analysis o f a Di rec t A i r Ca p t ure System. IFAC-PapersOnLine. 55(7). 316–321. 2 indexed citations
19.
Li, Shuyun, Gerardo J. Ruiz‐Mercado, Raymond L. Smith, et al.. (2018). A process systems framework for rapid generation of life cycle inventories for pollution control and sustainability evaluation. Clean Technologies and Environmental Policy. 20(7). 1543–1561. 13 indexed citations
20.
He, Xin, Yifan Wang, Debangsu Bhattacharyya, Fernando V. Lima, & Richard Turton. (2017). Dynamic modeling and advanced control of post-combustion CO2 capture plants. Process Safety and Environmental Protection. 131. 430–439. 26 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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