Lorenz T. Biegler
- Control and Systems Engineering top 0.01%
- Advanced Control Systems Optimization 331
- Process Optimization and Integration 233
- Fault Detection and Control Systems 122
- Control Systems and Identification 43
- Numerical Analysis top 0.1%
- Advanced Optimization Algorithms Research 81
- Computational Theory and Mathematics top 0.05%
- Advanced Multi-Objective Optimization Algorithms 25
- Mechanical Engineering top 0.2%
- Carbon Dioxide Capture Technologies 28
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- Microbial Metabolic Engineering and Bioproduction 34
- Co-authors
- Andreas WächterVíctor M. ZavalaIgnacio E. GrossmannArthur W. WesterbergCarl D. LairdShivakumar KameswaranArvind U. RaghunathanClaudia Schmid
- Journals
- Computers & Chemical Engineering (127 papers)AIChE Journal (65 papers)Industrial & Engineering Chemistry Research (55 papers)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Lorenz T. Biegler
510 papers receiving 26.6k citations
Hit Papers
Peers
Comparison fields: 5 of 193
- Control and Systems Engineering 16.5k
- Numerical Analysis 3.1k
- Computational Theory and Mathematics 3.3k
- Statistics, Probability and Uncertainty 1.2k
- Mechanical Engineering 3.7k
Countries citing papers authored by Lorenz T. Biegler
This map shows the geographic impact of Lorenz T. Biegler'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 Lorenz T. Biegler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorenz T. Biegler more than expected).
Fields of papers citing papers by Lorenz T. Biegler
This network shows the impact of papers produced by Lorenz T. Biegler. 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 Lorenz T. Biegler. The network helps show where Lorenz T. Biegler may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lorenz T. Biegler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 8 | |
| 10 | 2024 | 3 | |
| 11 | 2023 | 9 | |
| 12 | 2023 | 10 | |
| 13 | 2022 | 1 | |
| 14 | 2022 | 7 | |
| 15 | 2020 | 5 | |
| 16 | 2019 | 3 | |
| 17 | 2019 | 3 | |
| 18 | 2018 | 10 | |
| 19 | 2017 | 2 | |
| 20 | 2013 | 1 |
About Lorenz T. Biegler
Lorenz T. Biegler is a scholar working on Numerical Analysis, Control and Systems Engineering and Computational Theory and Mathematics, having authored 539 papers that have together received 28.0k indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (331 papers), Process Optimization and Integration (233 papers), Fault Detection and Control Systems (122 papers), Advanced Optimization Algorithms Research (81 papers), Control Systems and Identification (43 papers), Microbial Metabolic Engineering and Bioproduction (34 papers), Carbon Dioxide Capture Technologies (28 papers) and Advanced Multi-Objective Optimization Algorithms (25 papers). The work is most often cited by research in Control and Systems Engineering (16.5k citations), Numerical Analysis (3.1k citations) and Computational Theory and Mathematics (3.3k citations). Lorenz T. Biegler has collaborated with scholars based in United States, China and India. Frequent co-authors include Andreas Wächter, Víctor M. Zavala, Ignacio E. Grossmann, Arthur W. Westerberg, Carl D. Laird, Shivakumar Kameswaran, Arvind U. Raghunathan, Claudia Schmid, Yoshiaki Kawajiri and Anshul Agarwal. Their work appears in journals such as Computers & Chemical Engineering, AIChE Journal, Industrial & Engineering Chemistry Research, Journal of Process Control and Chemical Engineering Science.
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.