Jean-Paul Watson
- Electrical and Electronic Engineering
- Control and Systems Engineering top 5%
- Automotive Engineering
- Molecular Biology
- Energy Engineering and Power Technology top 10%
- Co-authors
- Yury DvorkinCesar A. Silva-MonroyDaniel S. KirschenRicardo Fernández‐BlancoHrvoje PandžićBolun XuYishen WangShawn Martin
- Topics
- Electric Power System Optimization (3 papers)Microgrid Control and Optimization (2 papers)Optimal Power Flow Distribution (2 papers)
- Cited by
- Energy Engineering and Power TechnologyControl and Systems EngineeringElectrical and Electronic Engineering
- Journals
- The Journal of Chemical PhysicsIEEE Transactions on Power SystemsAnnals of Operations Research
- Partner nations
- United StatesCroatia
In The Last Decade
Jean-Paul Watson
6 papers receiving 348 citations
Peers
Comparison fields: 5 of 52
- Electrical and Electronic Engineering 275
- Control and Systems Engineering 159
- Automotive Engineering 41
- Molecular Biology 34
- Energy Engineering and Power Technology 25
Countries citing papers authored by Jean-Paul Watson
This map shows the geographic impact of Jean-Paul Watson'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 Jean-Paul Watson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean-Paul Watson more than expected).
Fields of papers citing papers by Jean-Paul Watson
This network shows the impact of papers produced by Jean-Paul Watson. 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 Jean-Paul Watson. The network helps show where Jean-Paul Watson may publish in the future.
Co-authorship network of co-authors of Jean-Paul Watson
This figure shows the co-authorship network connecting the top 25 collaborators of Jean-Paul Watson. A scholar is included among the top collaborators of Jean-Paul Watson 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 Jean-Paul Watson. Jean-Paul Watson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 106 | |
| 2 | 18 | |
| 3 | 13 | |
| 4 | 144 | |
| 5 | 23 | |
| 6 | 52 |
About Jean-Paul Watson
Jean-Paul Watson is a scholar working on Safety, Risk, Reliability and Quality, Control and Systems Engineering and Management Information Systems, having authored 6 papers that have together received 356 indexed citations. Recurring topics across this work include Electric Power System Optimization (3 papers), Microgrid Control and Optimization (2 papers) and Optimal Power Flow Distribution (2 papers). The work is most often cited by research in Energy Engineering and Power Technology (25 citations), Control and Systems Engineering (159 citations) and Electrical and Electronic Engineering (275 citations). Jean-Paul Watson has collaborated with scholars based in United States and Croatia. Frequent co-authors include Yury Dvorkin, Cesar A. Silva-Monroy, Daniel S. Kirschen, Ricardo Fernández‐Blanco, Hrvoje Pandžić, Bolun Xu, Yishen Wang, Shawn Martin, Evangelos A. Coutsias and William M. Brown. Their work appears in journals such as The Journal of Chemical Physics, IEEE Transactions on Power Systems and Annals of Operations Research.
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.