Ali Abur

14.6k total citations · 4 hit papers
294 papers, 11.0k citations indexed

About

Ali Abur is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Ali Abur has authored 294 papers receiving a total of 11.0k indexed citations (citations by other indexed papers that have themselves been cited), including 280 papers in Electrical and Electronic Engineering, 195 papers in Control and Systems Engineering and 25 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Ali Abur's work include Power System Optimization and Stability (217 papers), Optimal Power Flow Distribution (131 papers) and Power Systems Fault Detection (95 papers). Ali Abur is often cited by papers focused on Power System Optimization and Stability (217 papers), Optimal Power Flow Distribution (131 papers) and Power Systems Fault Detection (95 papers). Ali Abur collaborates with scholars based in United States, Spain and Italy. Ali Abur's co-authors include Antonio Gómez‐Expósito, Fernando Magnago, Murat Göl, Mert Korkali, Mete Çelik, Alireza Rouhani, Jian Chen, Yuzhang Lin, Long Zhao and Cansın Yaman Evrenosoglu and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Power Systems and IEEE Transactions on Smart Grid.

In The Last Decade

Ali Abur

283 papers receiving 10.4k citations

Hit Papers

Power System State Estima... 1998 2026 2007 2016 2004 1998 2019 2005 500 1000 1.5k 2.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ali Abur 9.7k 7.2k 1.0k 976 846 294 11.0k
Vladimir Terzija 10.0k 1.0× 7.0k 1.0× 858 0.8× 764 0.8× 447 0.5× 454 11.6k
James S. Thorp 10.0k 1.0× 8.6k 1.2× 1.2k 1.2× 862 0.9× 991 1.2× 246 12.2k
A.G. Phadke 9.1k 0.9× 7.4k 1.0× 909 0.9× 677 0.7× 552 0.7× 121 10.0k
Innocent Kamwa 10.5k 1.1× 7.4k 1.0× 1.1k 1.1× 967 1.0× 449 0.5× 397 12.0k
Vijay Vittal 17.8k 1.8× 11.5k 1.6× 3.4k 3.3× 930 1.0× 780 0.9× 357 19.8k
Joe H. Chow 6.8k 0.7× 5.1k 0.7× 491 0.5× 575 0.6× 593 0.7× 334 8.7k
P. Kundur 22.9k 2.4× 16.4k 2.3× 2.1k 2.1× 611 0.6× 653 0.8× 86 24.5k
Antonio Gómez‐Expósito 5.9k 0.6× 4.1k 0.6× 464 0.5× 781 0.8× 663 0.8× 123 6.8k
Hsiao‐Dong Chiang 7.7k 0.8× 4.8k 0.7× 1.0k 1.0× 439 0.4× 462 0.5× 333 9.1k
O.P. Malik 9.1k 0.9× 7.0k 1.0× 409 0.4× 1.5k 1.6× 193 0.2× 491 11.4k

Countries citing papers authored by Ali Abur

Since Specialization
Citations

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

Fields of papers citing papers by Ali Abur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Abur

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Abur. A scholar is included among the top collaborators of Ali Abur 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 Ali Abur. Ali Abur 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.
Abur, Ali, et al.. (2024). Convolutional Neural Network-assisted fault detection and location using few PMUs. Electric Power Systems Research. 235. 110705–110705. 4 indexed citations
2.
Gupta, Rahul, Paolo Attilio Pegoraro, Ognjen Stanojev, et al.. (2024). Learning Power Flow Models and Constraints From Time-Synchronized Measurements: A Review. Proceedings of the IEEE. 112(12). 1799–1830.
3.
Liu, Hongfu, et al.. (2024). Graph-learning-assisted state estimation using sparse heterogeneous measurements. Electric Power Systems Research. 235. 110644–110644. 1 indexed citations
4.
Abur, Ali, et al.. (2024). Ensuring Solution Uniqueness in Three-Phase Power System State Estimation. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–6.
5.
Abur, Ali, et al.. (2024). Mitigating the Effects of Nonlinear Systematic Errors Within PMU Measurement Infrastructure in Three-Phase Power Systems. IEEE Transactions on Power Systems. 40(3). 2626–2635.
6.
Abur, Ali, et al.. (2024). Specifying angular reference for robust three-phase state estimation. International Journal of Electrical Power & Energy Systems. 158. 109945–109945. 2 indexed citations
7.
Abur, Ali, et al.. (2023). Discrete-Time Monitoring of Power Grids. 1–6.
8.
Cheng, Gang, Yuzhang Lin, Ali Abur, Antonio Gómez‐Expósito, & Wenchuan Wu. (2023). A Survey of Power System State Estimation Using Multiple Data Sources: PMUs, SCADA, AMI, and Beyond. IEEE Transactions on Smart Grid. 15(1). 1129–1151. 56 indexed citations
9.
Abur, Ali, et al.. (2022). Enhancing topology error detection via multiple measurement scans. Electric Power Systems Research. 213. 108458–108458. 2 indexed citations
10.
Abur, Ali, et al.. (2020). Formulation of Three-Phase State Estimation Problem Using a Virtual Reference. IEEE Transactions on Power Systems. 36(1). 214–223. 30 indexed citations
11.
Zhao, Junbo, Marcos Netto, Zhenyu Huang, et al.. (2020). Roles of Dynamic State Estimation in Power System Modeling, Monitoring and Operation. IEEE Transactions on Power Systems. 36(3). 2462–2472. 147 indexed citations
12.
Zhao, Junbo, Junjian Qi, Zhenyu Huang, et al.. (2019). Power System Dynamic State Estimation: Motivations, Definitions, Methodologies, and Future Work. IEEE Transactions on Power Systems. 34(4). 3188–3198. 488 indexed citations breakdown →
13.
Abur, Ali, et al.. (2016). Sparse estimation based external system line outage detection. 1–6. 5 indexed citations
14.
Galvan, Floyd, et al.. (2012). Implementation of synchrophasor monitoring at Entergy: Tools, training and tribulations. 1–4. 5 indexed citations
15.
Abur, Ali. (2009). Impact of phasor measurements on state estimation. International Conference on Electrical and Electronics Engineering. 10 indexed citations
16.
Korkali, Mert & Ali Abur. (2009). Placement of PMUs with channel limits. 1–4. 99 indexed citations
17.
Magnago, Fernando & Ali Abur. (2007). Unitied Approach to Robust Meter Placement Against Loss ot Measurements and Branch Outages. Tunnelling and Underground Space Technology. 17(2). 7 indexed citations
18.
Kim, Hongrae & Ali Abur. (1996). Enhancement of external system modeling for state estimation. IEEE Transactions on Power Systems. 11(3). 9 indexed citations
19.
Abur, Ali. (1985). Knowledge-based power flow models and array processor-based power flow solutions for fast prediction of system states /. OhioLink ETD Center (Ohio Library and Information Network).
20.
Keyhani, A. & Ali Abur. (1985). Comparative study of polar and Cartesian co-ordinate algorithms for power-system state-estimation problems. IEE Proceedings Generation, Transmission and Distribution [see also IEE Proceedings-Generation, Transmission and Distribution]. 132(3). 132–138. 7 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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