Esteban Gil

34 papers receiving 768 citations

Peers

Esteban Gil
Comparison fields: 5 of 59
  • Energy Engineering and Power Technology 76
  • General Energy 17
  • Electrical and Electronic Engineering 684
  • Safety, Risk, Reliability and Quality 80
  • Control and Systems Engineering 120
Replace Lin Fan with:
Lin Fan China
Alberto Vargas Argentina
Zhouyang Ren China
Antans Sauhats Latvia
Blazhe Gjorgiev Switzerland
Pandelis N. Biskas Greece
Simon Gill United Kingdom
Mikael Amelin Sweden
I. Wangensteen Norway
Marco Zugno Denmark
Esteban Gil relative to Lin Fan China Lin Fan's profile →
Citations per field
00.5×5.3×
Lin Fan · 1×
Citations per year

Countries citing papers authored by Esteban Gil

Since Specialization
Citations

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

Fields of papers citing papers by Esteban Gil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Esteban Gil. 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 Esteban Gil. The network helps show where Esteban Gil may publish in the future.

Co-authorship network

The 15 scholars most cited alongside Esteban Gil, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Esteban Gil Line = papers co-authored together Esteban Gil links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20253
2 20242
3 20240
4 20240
5 20241
6 20221
7 20212
8 20205
9 202021
10 20191
11 20185
12 20173
13 20172
14 201614
15 20162
16 201410
17 201312
18 2007178
19 200624
20 2003193

About Esteban Gil

Esteban Gil is a scholar working on General Energy, Safety, Risk, Reliability and Quality, Electrical and Electronic Engineering, Energy Engineering and Power Technology and Control and Systems Engineering, having authored 37 papers that have together received 802 indexed citations. Recurring topics across this work include Electric Power System Optimization (24 papers), Energy Load and Power Forecasting (16 papers), Optimal Power Flow Distribution (15 papers), Power System Reliability and Maintenance (9 papers), Smart Grid Energy Management (8 papers), Integrated Energy Systems Optimization (5 papers), Hydrological Forecasting Using AI (3 papers) and Smart Grid Security and Resilience (3 papers). The work is most often cited by research in Energy Engineering and Power Technology (76 citations), General Energy (17 citations), Electrical and Electronic Engineering (684 citations), Safety, Risk, Reliability and Quality (80 citations) and Control and Systems Engineering (120 citations). Esteban Gil has collaborated with scholars based in Chile, Mexico and United States. Frequent co-authors include James D. McCalley, Hugh Rudnick, Ignacio Aravena, Sarah M. Ryan, Carlos Valle, G. Gutiérrez-Alcaraz, Héctor Allende, Henrik Madsen, Alejandro Angulo and Juan J. Araya. Their work appears in journals such as IEEE Transactions on Power Systems, Energies, Applied Energy, IET Generation Transmission & Distribution and Energy Economics.

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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