Tuba Gözel

1.1k total citations · 1 hit paper
32 papers, 888 citations indexed

About

Tuba Gözel is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Information Systems. According to data from OpenAlex, Tuba Gözel has authored 32 papers receiving a total of 888 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Electrical and Electronic Engineering, 19 papers in Control and Systems Engineering and 6 papers in Information Systems. Recurrent topics in Tuba Gözel's work include Microgrid Control and Optimization (14 papers), Optimal Power Flow Distribution (13 papers) and Smart Grid Energy Management (12 papers). Tuba Gözel is often cited by papers focused on Microgrid Control and Optimization (14 papers), Optimal Power Flow Distribution (13 papers) and Smart Grid Energy Management (12 papers). Tuba Gözel collaborates with scholars based in Türkiye, Iran and United Kingdom. Tuba Gözel's co-authors include Mehmet Hakan Hocaoğlu, U. Eminoğlu, Luis F. Ochoa, Abdulkadir Balıkçı, Alejandro Navarro-Espinosa, Gianfranco Chicco, Morteza Zare Oskouei, Mehdi Abapour, Behnam Mohammadi‐Ivatloo and Rabindra Nath Shaw and has published in prestigious journals such as IEEE Transactions on Power Systems, IEEE Access and Sustainability.

In The Last Decade

Tuba Gözel

27 papers receiving 812 citations

Hit Papers

An analytical method for the sizing and siting of distrib... 2009 2026 2014 2020 2009 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tuba Gözel Türkiye 8 857 675 64 33 22 32 888
Richard J. Bravo United States 12 673 0.8× 520 0.8× 48 0.8× 36 1.1× 23 1.0× 32 728
Ahmad Attarha Australia 14 628 0.7× 262 0.4× 55 0.9× 27 0.8× 27 1.2× 28 659
Yanli Wei United States 10 652 0.8× 341 0.5× 54 0.8× 37 1.1× 35 1.6× 14 685
Masoud Dashtdar Iran 17 642 0.7× 573 0.8× 28 0.4× 76 2.3× 23 1.0× 53 716
Feifan Shen China 15 599 0.7× 393 0.6× 45 0.7× 52 1.6× 14 0.6× 38 637
Robert Saint United States 5 796 0.9× 654 1.0× 42 0.7× 42 1.3× 40 1.8× 6 839
I. Roytelman United States 12 963 1.1× 647 1.0× 76 1.2× 18 0.5× 21 1.0× 15 984
Ali Abbaspour Iran 15 672 0.8× 376 0.6× 179 2.8× 37 1.1× 32 1.5× 38 738
Subrata Paul India 11 537 0.6× 429 0.6× 34 0.5× 51 1.5× 13 0.6× 37 575
Seyed Masoud Mohseni‐Bonab Canada 14 757 0.9× 392 0.6× 77 1.2× 61 1.8× 41 1.9× 34 808

Countries citing papers authored by Tuba Gözel

Since Specialization
Citations

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

Fields of papers citing papers by Tuba Gözel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tuba Gözel

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

All Works

20 of 20 papers shown
1.
Salyani, Pouya, Kazem Zare, & Tuba Gözel. (2025). Proactive scheduling of transactive multi-carrier microgrids under base interruptible program: A Bi-level model approach. Sustainable Energy Grids and Networks. 42. 101634–101634.
4.
Gözel, Tuba, et al.. (2023). The robust curve-fitting based method for coordinated voltage regulation with distributed generator and OLTC in distribution network. Alexandria Engineering Journal. 75. 243–259. 4 indexed citations
5.
Gözel, Tuba, et al.. (2023). Conceptual design and optimal sizing of a small unmanned aerial vehicle with fuel cell and battery-powered hybrid propulsion system by meta-heuristic algorithms based on energy consumption. Energy Sources Part A Recovery Utilization and Environmental Effects. 45(1). 140–159. 4 indexed citations
6.
Gözel, Tuba, et al.. (2022). A demand-side management assessment of residential consumers by a clustering approach. Electrical Engineering. 105(1). 493–508. 1 indexed citations
7.
Oskouei, Morteza Zare, et al.. (2022). Risk assessment of renewable energy and multi‐carrier energy storage integrated distribution systems. International Journal of Energy Research. 46(15). 23630–23642. 7 indexed citations
8.
Oskouei, Morteza Zare, et al.. (2021). Optimal scheduling of ESS in distribution system with multiple DG. 324–328. 2 indexed citations
9.
Gözel, Tuba, et al.. (2019). Forecasting Power Consumption of IT Devices in a Data Center. 1 indexed citations
10.
Gözel, Tuba, et al.. (2017). Load forecasting modelling of data centers and IT systems by using artificial neural networks. International Conference on Electrical and Electronics Engineering. 4 indexed citations
11.
Ochoa, Luis F., et al.. (2016). Representative residential LV feeders: A case study for the North West of England. 1–1. 8 indexed citations
12.
Navarro-Espinosa, Alejandro, et al.. (2015). DATA ANALYSIS OF LV NETWORKS: KEY PARAMETERS FROM ONE YEAR OF MONITORING OVER HUNDREDS OF UK LV FEEDERS. 2 indexed citations
13.
Ochoa, Luis F., et al.. (2015). Representative Residential LV Feeders: A Case Study for the North West of England. IEEE Transactions on Power Systems. 31(1). 348–360. 58 indexed citations
14.
Gözel, Tuba, et al.. (2015). Data analysis of LV networks: Determination of key parameters from one year of monitoring over hundreds of UK LV feeders. Research Explorer (The University of Manchester). 1–5. 6 indexed citations
15.
Gözel, Tuba, et al.. (2014). Deliverable 3.5 "Creation of aggregated profiles with and without new loads and DER based on monitored data". Research Explorer (The University of Manchester). 3 indexed citations
16.
Gözel, Tuba & Luis F. Ochoa. (2014). Deliverable 3.3 "(Updated) Performance evaluation of the monitored LV networks". Research Explorer (The University of Manchester). 3 indexed citations
17.
Gözel, Tuba & Luis F. Ochoa. (2013). Deliverable 3.2 "Production of validated networks". Research Explorer (The University of Manchester). 2 indexed citations
18.
Gözel, Tuba & Mehmet Hakan Hocaoğlu. (2009). An analytical method for the sizing and siting of distributed generators in radial systems. Electric Power Systems Research. 79(6). 912–918. 532 indexed citations breakdown →
19.
Gözel, Tuba, U. Eminoğlu, & Mehmet Hakan Hocaoğlu. (2008). A tool for voltage stability and optimization (VS&OP) in radial distribution systems using matlab graphical user interface (GUI). Simulation Modelling Practice and Theory. 16(5). 505–518. 79 indexed citations
20.
Gözel, Tuba, Mehmet Hakan Hocaoğlu, U. Eminoğlu, & Abdulkadir Balıkçı. (2005). Optimal placement and sizing of distributed generation on radial feeder with different static load models. 2 pp.–6. 76 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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