Noemi G. Cobos

523 total citations
9 papers, 407 citations indexed

About

Noemi G. Cobos is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Finance. According to data from OpenAlex, Noemi G. Cobos has authored 9 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 1 paper in Control and Systems Engineering and 1 paper in Finance. Recurrent topics in Noemi G. Cobos's work include Electric Power System Optimization (8 papers), Smart Grid Energy Management (8 papers) and Optimal Power Flow Distribution (6 papers). Noemi G. Cobos is often cited by papers focused on Electric Power System Optimization (8 papers), Smart Grid Energy Management (8 papers) and Optimal Power Flow Distribution (6 papers). Noemi G. Cobos collaborates with scholars based in Spain, Brazil and United States. Noemi G. Cobos's co-authors include José M. Arroyo, Natalia Alguacil, Alexandre Street, Jianhui Wang, David Pozo, Ana Baringo, Luis Baringo and Alfredo Quijano-López and has published in prestigious journals such as Applied Energy, IEEE Transactions on Power Systems and IEEE Transactions on Smart Grid.

In The Last Decade

Noemi G. Cobos

9 papers receiving 394 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Noemi G. Cobos Spain 7 392 103 22 16 12 9 407
Hussam Nosair Canada 7 341 0.9× 122 1.2× 47 2.1× 19 1.2× 21 1.8× 10 371
Peter K.C. Wong Australia 7 262 0.7× 144 1.4× 27 1.2× 13 0.8× 9 0.8× 20 291
Runzhao Lu China 6 273 0.7× 92 0.9× 18 0.8× 10 0.6× 28 2.3× 14 295
Jorge Luis Angarita Marquez United Kingdom 8 284 0.7× 63 0.6× 19 0.9× 13 0.8× 24 2.0× 13 308
Ehsan Nasrolahpour Canada 8 392 1.0× 193 1.9× 28 1.3× 33 2.1× 27 2.3× 10 410
Marija Prica United States 11 321 0.8× 273 2.7× 14 0.6× 9 0.6× 17 1.4× 27 365
Valentin Ilea Italy 12 444 1.1× 209 2.0× 44 2.0× 30 1.9× 36 3.0× 55 491
Ana Baringo Spain 7 561 1.4× 214 2.1× 22 1.0× 23 1.4× 32 2.7× 8 591
Morteza Shabanzadeh Iran 5 314 0.8× 166 1.6× 8 0.4× 8 0.5× 25 2.1× 11 336
A.R. Shirani Iran 13 370 0.9× 178 1.7× 41 1.9× 9 0.6× 7 0.6× 27 405

Countries citing papers authored by Noemi G. Cobos

Since Specialization
Citations

This map shows the geographic impact of Noemi G. Cobos'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 Noemi G. Cobos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noemi G. Cobos more than expected).

Fields of papers citing papers by Noemi G. Cobos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Noemi G. Cobos. 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 Noemi G. Cobos. The network helps show where Noemi G. Cobos may publish in the future.

Co-authorship network of co-authors of Noemi G. Cobos

This figure shows the co-authorship network connecting the top 25 collaborators of Noemi G. Cobos. A scholar is included among the top collaborators of Noemi G. Cobos 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 Noemi G. Cobos. Noemi G. Cobos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
2.
Arroyo, José M., et al.. (2020). On the Use of a Convex Model for Bulk Storage in MIP-Based Power System Operation and Planning. IEEE Transactions on Power Systems. 35(6). 4964–4967. 37 indexed citations
3.
Street, Alexandre, et al.. (2019). Two-Stage Robust Unit Commitment for Co-Optimized Electricity Markets: An Adaptive Data-Driven Approach for Scenario-Based Uncertainty Sets. IEEE Transactions on Sustainable Energy. 11(2). 958–969. 81 indexed citations
4.
Cobos, Noemi G., José M. Arroyo, Natalia Alguacil, & Alexandre Street. (2018). Robust Energy and Reserve Scheduling Under Wind Uncertainty Considering Fast-Acting Generators. IEEE Transactions on Sustainable Energy. 10(4). 2142–2151. 49 indexed citations
5.
Cobos, Noemi G., José M. Arroyo, & Alexandre Street. (2018). Least-Cost Reserve Offer Deliverability in Day-Ahead Generation Scheduling under Wind Uncertainty and Generation and Network Outages. 1–1. 1 indexed citations
6.
Cobos, Noemi G., José M. Arroyo, Natalia Alguacil, & Alexandre Street. (2018). Network-constrained unit commitment under significant wind penetration: A multistage robust approach with non-fixed recourse. Applied Energy. 232. 489–503. 46 indexed citations
7.
Cobos, Noemi G., José M. Arroyo, Natalia Alguacil, & Jianhui Wang. (2018). Robust Energy and Reserve Scheduling Considering Bulk Energy Storage Units and Wind Uncertainty. IEEE Transactions on Power Systems. 33(5). 5206–5216. 128 indexed citations
8.
Cobos, Noemi G., José M. Arroyo, & Alexandre Street. (2016). Least-Cost Reserve Offer Deliverability in Day-Ahead Generation Scheduling Under Wind Uncertainty and Generation and Network Outages. IEEE Transactions on Smart Grid. 9(4). 3430–3442. 50 indexed citations
9.
Cobos, Noemi G., José M. Arroyo, & Alexandre Street. (2016). Ensuring reserve deployment in network-constrained generation scheduling under uncertain nodal net power injections. 14. 1–7. 2 indexed citations

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.

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