Nicolas W. Sawaya
- Control and Systems Engineering top 5%
- Numerical Analysis top 5%
- Computational Theory and Mathematics top 5%
- Electrical and Electronic Engineering
- Industrial and Manufacturing Engineering top 5%
- Co-authors
- Ignacio E. GrossmannAndrew R. ConnCarl D. LairdAndreas WächterAndrea LodiFrançois MargotGérard CornuéjolsPierre Bonami
- Topics
- Advanced Control Systems Optimization (5 papers)Process Optimization and Integration (5 papers)Advanced Optimization Algorithms Research (4 papers)
- Partner nations
- United StatesSpainItaly
In The Last Decade
Nicolas W. Sawaya
7 papers receiving 735 citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Control and Systems Engineering 380
- Numerical Analysis 221
- Computational Theory and Mathematics 160
- Electrical and Electronic Engineering 152
- Industrial and Manufacturing Engineering 124
Countries citing papers authored by Nicolas W. Sawaya
This map shows the geographic impact of Nicolas W. Sawaya'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 Nicolas W. Sawaya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas W. Sawaya more than expected).
Fields of papers citing papers by Nicolas W. Sawaya
This network shows the impact of papers produced by Nicolas W. Sawaya. 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 Nicolas W. Sawaya. The network helps show where Nicolas W. Sawaya may publish in the future.
Co-authorship network of co-authors of Nicolas W. Sawaya
This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas W. Sawaya. A scholar is included among the top collaborators of Nicolas W. Sawaya 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 Nicolas W. Sawaya. Nicolas W. Sawaya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 19 | |
| 3 | 58 | |
| 4 | 23 | |
| 5 | An algorithmic framework for convex mixed integer nonlinear programsbreakdown → | 603 |
| 6 | 17 | |
| 7 | 52 |
About Nicolas W. Sawaya
Nicolas W. Sawaya is a scholar working on Numerical Analysis, Control and Systems Engineering and Industrial and Manufacturing Engineering, having authored 7 papers that have together received 778 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (5 papers), Process Optimization and Integration (5 papers) and Advanced Optimization Algorithms Research (4 papers). The work is most often cited by research in Numerical Analysis (221 citations), Control and Systems Engineering (380 citations) and Industrial and Manufacturing Engineering (124 citations). Nicolas W. Sawaya has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include Ignacio E. Grossmann, Andrew R. Conn, Carl D. Laird, Andreas Wächter, Andrea Lodi, François Margot, Gérard Cornuéjols, Pierre Bonami, Jon Lee and Lorenz T. Biegler. Their work appears in journals such as European Journal of Operational Research, AIChE Journal and Computers & Chemical Engineering.
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.