H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology D-index 51 Citations 10,190 142 World Ranking 1427 National Ranking 2

Overview

What is he best known for?

The fields of study he is best known for:

  • Mathematical optimization
  • Algorithm
  • Artificial intelligence

His primary areas of study are Mathematical optimization, Integer programming, Simulated annealing, Transmission network and Genetic algorithm. His Mathematical optimization research focuses on Linear programming in particular. The study incorporates disciplines such as Distributed generation and Electricity market in addition to Linear programming.

In his research on the topic of Integer programming, Optimal control is strongly related with Nonlinear programming. His Simulated annealing research is multidisciplinary, relying on both Tabu search and Combinatorial optimization. In his work, State, Theoretical computer science and Heuristic is strongly intertwined with Power flow, which is a subfield of Transmission network.

His most cited work include:

  • Test systems and mathematical models for transmission network expansion planning (356 citations)
  • A hierarchical decomposition approach for transmission network expansion planning (338 citations)
  • Transmission system expansion planning by simulated annealing (307 citations)

What are the main themes of his work throughout his whole career to date?

His primary scientific interests are in Mathematical optimization, Linear programming, Electric power system, Integer programming and Algorithm. His work deals with themes such as Nonlinear programming, Control reconfiguration and Transmission network, which intersect with Mathematical optimization. Ruben Romero interconnects Operations research and Transmission system in the investigation of issues within Transmission network.

As a member of one scientific family, Ruben Romero mostly works in the field of Linear programming, focusing on Distributed generation and, on occasion, Smart grid, Voltage and State of charge. His Electric power system study also includes fields such as

  • Transmission together with Reliability engineering and Heuristic,
  • Electric power transmission which is related to area like Series compensation and Electronic engineering. The various areas that Ruben Romero examines in his Genetic algorithm study include Simulated annealing and Optimization problem.

He most often published in these fields:

  • Mathematical optimization (72.15%)
  • Linear programming (22.78%)
  • Electric power system (20.89%)

What were the highlights of his more recent work (between 2018-2021)?

  • Mathematical optimization (72.15%)
  • Distributed generation (10.76%)
  • Transmission network (15.82%)

In recent papers he was focusing on the following fields of study:

Ruben Romero focuses on Mathematical optimization, Distributed generation, Transmission network, Electric power system and Control theory. His work in Mathematical optimization is not limited to one particular discipline; it also encompasses Control reconfiguration. His Control reconfiguration research incorporates themes from Representation, Joint and Voltage.

His work carried out in the field of Transmission network brings together such families of science as Electronic engineering and Operations research. Ruben Romero has included themes like State and Voltage regulator in his Control theory study. His Voltage regulator research includes themes of AC power, Voltage control, Topology and Capacitor.

Between 2018 and 2021, his most popular works were:

  • Distribution System Services Provided by Electric Vehicles: Recent Status, Challenges, and Future Prospects (27 citations)
  • Joint reconfiguration of feeders and allocation of capacitor banks in radial distribution systems considering voltage-dependent models (19 citations)
  • A strategy for transmission network expansion planning considering multiple generation scenarios (17 citations)

In his most recent research, the most cited papers focused on:

  • Mathematical optimization
  • Algorithm
  • Artificial intelligence

Ruben Romero mostly deals with Risk analysis, Electric power system, Transmission network, Plan and Demand growth. His Risk analysis study overlaps with Electric power, Exploit, Distributed generation, Order and Transmission. His research integrates issues of Electricity and Renewable energy in his study of Electric power system.

Many of his studies involve connections with topics such as Operations research and Transmission network.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Test systems and mathematical models for transmission network expansion planning

R. Romero;A. Monticelli;A. Garcia;S. Haffner.
IEE Proceedings - Generation, Transmission and Distribution (2002)

599 Citations

A hierarchical decomposition approach for transmission network expansion planning

R. Romero;A. Monticelli.
IEEE Transactions on Power Systems (1994)

517 Citations

Transmission system expansion planning by simulated annealing

R. Romero;R.A. Gallego;A. Monticelli.
IEEE Transactions on Power Systems (1995)

507 Citations

Imposing Radiality Constraints in Distribution System Optimization Problems

M. Lavorato;J. F. Franco;M. J. Rider;R. Romero.
IEEE Transactions on Power Systems (2012)

429 Citations

Optimal Capacitor Placement in Radial Distribution Networks

R.A. Gallego;A.J. Monticelli;R. Romero.
IEEE Transactions on Power Systems (2001)

421 Citations

Transmission system expansion planning by an extended genetic algorithm

R.A. Gallego;A. Monticelli;R. Romero.
IEE Proceedings - Generation, Transmission and Distribution (1998)

324 Citations

Tabu search algorithm for network synthesis

R.A. Gallego;R. Romero;A.J. Monticelli.
IEEE Transactions on Power Systems (2000)

324 Citations

Multistage and coordinated planning of the expansion of transmission systems

A.H. Escobar;R.A. Gallego;R. Romero.
IEEE Transactions on Power Systems (2004)

319 Citations

An Efficient Codification to Solve Distribution Network Reconfiguration for Loss Reduction Problem

E.M. Carreno;R. Romero;A. Padilha-Feltrin.
IEEE Transactions on Power Systems (2008)

303 Citations

A Bilevel Approach to Transmission Expansion Planning Within a Market Environment

L.P. Garces;A.J. Conejo;R. Garcia-Bertrand;R. Romero.
IEEE Transactions on Power Systems (2009)

297 Citations

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Best Scientists Citing Ruben Romero

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Javier Contreras

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Zhao Yang Dong

UNSW Sydney

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Antonio J. Conejo

The Ohio State University

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Mahmud Fotuhi-Firuzabad

Sharif University of Technology

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Pierluigi Siano

Pierluigi Siano

University of Salerno

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Gianfranco Chicco

Gianfranco Chicco

Polytechnic University of Turin

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Matti Lehtonen

Matti Lehtonen

Aalto University

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Miadreza Shafie-khah

Miadreza Shafie-khah

University of Vaasa

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Jose M. Arroyo

Jose M. Arroyo

University of Castilla-La Mancha

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Luis F. Ochoa

Luis F. Ochoa

University of Melbourne

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Mahmoud-Reza Haghifam

Mahmoud-Reza Haghifam

Tarbiat Modares University

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Rabih A. Jabr

Rabih A. Jabr

American University of Beirut

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Qiang Yang

Qiang Yang

Hong Kong University of Science and Technology

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James D. McCalley

James D. McCalley

Iowa State University

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