David E. Bernal
Impact in
- Numerical Analysis top 5%
- Advanced Optimization Algorithms Research
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- Process Optimization and Integration
- Advanced Control Systems Optimization
- Fault Detection and Control Systems
Papers in
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- Advanced Control Systems Optimization 14
- Process Optimization and Integration 11
- Optimization and Mathematical Programming 3
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- Quantum Computing Algorithms and Architecture 12
- Quantum Information and Cryptography 5
- Co-authors
- Ignacio E. Grossmann (15 shared papers)Jan Kronqvist (5 shared papers)Andreas Lundell (2 shared papers)Stuart M. Harwood (2 shared papers)Dimitar Trenev (2 shared papers)Luis Ricardez‐Sandoval (5 shared papers)Jorge M. Gómez (5 shared papers)Claudio Gambella (1 shared paper)
- Journals
- Computers & Chemical Engineering (9 papers)Optimization and Engineering (3 papers)Industrial & Engineering Chemistry Research (2 papers)AIChE Journal (2 papers)Journal of Chemical Theory and Computation (1 paper)
- Partner nations
- United StatesFinlandCanada
In The Last Decade
David E. Bernal
33 papers receiving 634 citations
Peers
Comparison fields: 5 of 85
- Numerical Analysis 89
- Control and Systems Engineering 288
- Computational Theory and Mathematics 101
- Industrial and Manufacturing Engineering 56
- Artificial Intelligence 158
Countries citing papers authored by David E. Bernal
This map shows the geographic impact of David E. Bernal'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 David E. Bernal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David E. Bernal more than expected).
Fields of papers citing papers by David E. Bernal
This network shows the impact of papers produced by David E. Bernal. 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 David E. Bernal. The network helps show where David E. Bernal may publish in the future.
Co-authors
The 25 scholars most cited alongside David E. Bernal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 198 | |
| 2 | 2021 | 92 | |
| 3 | 2022 | 33 | |
| 4 | 2021 | 32 | |
| 5 | 2020 | 27 | |
| 6 | 2019 | 25 | |
| 7 | 2018 | 24 | |
| 8 | 2018 | 21 | |
| 9 | 2020 | 20 | |
| 10 | 2020 | 18 | |
| 11 | 2017 | 16 | |
| 12 | 2019 | 16 | |
| 13 | 2024 | 15 | |
| 14 | 2020 | 15 | |
| 15 | 2018 | 14 | |
| 16 | 2020 | 13 | |
| 17 | Bayesian Direct Position Estimation | 2008 | 11 |
| 18 | Particle Filtering Algorithm for Ultra-tight GNSS/INS Integration | 2008 | 9 |
| 19 | 2023 | 7 | |
| 20 | 2023 | 7 |
About David E. Bernal
David E. Bernal is a scholar working on Control and Systems Engineering, Artificial Intelligence, Computational Theory and Mathematics, Numerical Analysis and Atomic and Molecular Physics, and Optics, having authored 40 papers that have together received 672 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (14 papers), Quantum Computing Algorithms and Architecture (12 papers), Process Optimization and Integration (11 papers), Advanced Optimization Algorithms Research (9 papers), Quantum Information and Cryptography (5 papers), Machine Learning in Materials Science (3 papers), Optimization and Mathematical Programming (3 papers) and Quantum and electron transport phenomena (3 papers). The work is most often cited by research in Numerical Analysis (89 citations), Control and Systems Engineering (288 citations), Computational Theory and Mathematics (101 citations), Industrial and Manufacturing Engineering (56 citations) and Artificial Intelligence (158 citations). David E. Bernal has collaborated with scholars based in United States, Finland and Canada. Frequent co-authors include Ignacio E. Grossmann, Jan Kronqvist, Andreas Lundell, Stuart M. Harwood, Dimitar Trenev, Luis Ricardez‐Sandoval, Jorge M. Gómez, Claudio Gambella, Andrea Simonetto and Donny Greenberg. Their work appears in journals such as Computers & Chemical Engineering, Optimization and Engineering, Industrial & Engineering Chemistry Research, AIChE Journal and Journal of Chemical Theory and Computation.
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.