Daniel Ruiz‐Vega
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- Power Systems Fault Detection 11
- Smart Grid Security and Resilience 7
- Microgrid Control and Optimization 6
- Real-time simulation and control systems 4
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- Power System Reliability and Maintenance 4
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- Power System Optimization and Stability 42
- HVDC Systems and Fault Protection 18
- Optimal Power Flow Distribution 16
- Co-authors
- M. PavellaDamien ErnstClaudio R. Fuerte‐EsquivelA.R. MessinaAlejandro Pizano-MartínezVijay VittalD.J. ŠobajićP. Hirsch
- Cited by
- Control and Systems EngineeringSafety, Risk, Reliability and QualityElectrical and Electronic Engineering
- Journals
- IEEE Transactions on Power Systems (10 papers)Electric Power Systems Research (4 papers)Computers in Biology and Medicine (1 paper)
- Partner nations
- MexicoBelgiumUnited States
In The Last Decade
Daniel Ruiz‐Vega
42 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 43
- Control and Systems Engineering 812
- Safety, Risk, Reliability and Quality 294
- Electrical and Electronic Engineering 1.4k
- Energy Engineering and Power Technology 28
- Numerical Analysis 19
Countries citing papers authored by Daniel Ruiz‐Vega
This map shows the geographic impact of Daniel Ruiz‐Vega'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 Daniel Ruiz‐Vega with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Ruiz‐Vega more than expected).
Fields of papers citing papers by Daniel Ruiz‐Vega
This network shows the impact of papers produced by Daniel Ruiz‐Vega. 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 Daniel Ruiz‐Vega. The network helps show where Daniel Ruiz‐Vega may publish in the future.
Co-authorship network
The 23 scholars most cited alongside Daniel Ruiz‐Vega, 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 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2016 | 1 | |
| 4 | 2015 | 4 | |
| 5 | 2014 | 18 | |
| 6 | 2010 | 0 | |
| 7 | 2010 | 1 | |
| 8 | 2009 | 2 | |
| 9 | 2006 | 87 | |
| 10 | 2005 | 10 | |
| 11 | 2004 | 39 | |
| 12 | 2003 | 13 | |
| 13 | 2003 | 131 | |
| 14 | 2002 | 16 | |
| 15 | 2002 | 29 | |
| 16 | 2002 | 4 | |
| 17 | 2002 | 2 | |
| 18 | 2002 | 13 | |
| 19 | 2000 | 322 | |
| 20 | 2000 | 12 |
About Daniel Ruiz‐Vega
Daniel Ruiz‐Vega is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Energy Engineering and Power Technology, having authored 47 papers that have together received 1.5k indexed citations. Recurring topics across this work include Power System Optimization and Stability (42 papers), HVDC Systems and Fault Protection (18 papers), Optimal Power Flow Distribution (16 papers), Power Systems Fault Detection (11 papers), Smart Grid Security and Resilience (7 papers), Microgrid Control and Optimization (6 papers), Power System Reliability and Maintenance (4 papers) and Real-time simulation and control systems (4 papers). The work is most often cited by research in Control and Systems Engineering (812 citations), Safety, Risk, Reliability and Quality (294 citations) and Electrical and Electronic Engineering (1.4k citations). Daniel Ruiz‐Vega has collaborated with scholars based in Mexico, Belgium and United States. Frequent co-authors include M. Pavella, Damien Ernst, Damien Ernst, Claudio R. Fuerte‐Esquivel, A.R. Messina, Alejandro Pizano-Martínez, Damien Ernst, Vijay Vittal, D.J. Šobajić and P. Hirsch. Their work appears in journals such as IEEE Transactions on Power Systems, Electric Power Systems Research and Computers in Biology and Medicine.
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.