William R. Esposito
- Computational Theory and Mathematics top 2%
- Numerical Analysis top 2%
- Control and Systems Engineering top 5%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Co-authors
- Christodoulos A. FloudasC. A. FloudasClaire S. AdjimanStephen T. HardingJohn L. KlepeisClifford A. MeyerCarl A. SchweigerPãnos M. Pardalos
- Topics
- Advanced Optimization Algorithms Research (6 papers)Advanced Control Systems Optimization (3 papers)Control Systems and Identification (2 papers)
- Journals
- Industrial & Engineering Chemistry ResearchComputers & Chemical EngineeringJournal of Global Optimization
- Partner nations
- United States
In The Last Decade
William R. Esposito
6 papers receiving 655 citations
Peers
Comparison fields: 5 of 80
- Computational Theory and Mathematics 330
- Numerical Analysis 322
- Control and Systems Engineering 295
- Artificial Intelligence 163
- Biomedical Engineering 44
Countries citing papers authored by William R. Esposito
This map shows the geographic impact of William R. Esposito'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 William R. Esposito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William R. Esposito more than expected).
Fields of papers citing papers by William R. Esposito
This network shows the impact of papers produced by William R. Esposito. 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 William R. Esposito. The network helps show where William R. Esposito may publish in the future.
Co-authorship network of co-authors of William R. Esposito
This figure shows the co-authorship network connecting the top 25 collaborators of William R. Esposito. A scholar is included among the top collaborators of William R. Esposito 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 William R. Esposito. William R. Esposito is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 111 | |
| 3 | 3 | |
| 4 | 443 | |
| 5 | 27 | |
| 6 | 89 |
About William R. Esposito
William R. Esposito is a scholar working on Numerical Analysis, Control and Systems Engineering and Statistical and Nonlinear Physics, having authored 6 papers that have together received 702 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (6 papers), Advanced Control Systems Optimization (3 papers) and Control Systems and Identification (2 papers). The work is most often cited by research in Numerical Analysis (322 citations), Computational Theory and Mathematics (330 citations) and Control and Systems Engineering (295 citations). William R. Esposito has collaborated with scholars based in United States. Frequent co-authors include Christodoulos A. Floudas, C. A. Floudas, Claire S. Adjiman, Stephen T. Harding, John L. Klepeis, Clifford A. Meyer, Carl A. Schweiger, Pãnos M. Pardalos and Zeynep H. Gümüş. Their work appears in journals such as Industrial & Engineering Chemistry Research, Computers & Chemical Engineering and Journal of Global Optimization.
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.