Ammar Arshad

437 total citations
28 papers, 280 citations indexed

About

Ammar Arshad is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Ammar Arshad has authored 28 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Electrical and Electronic Engineering, 13 papers in Control and Systems Engineering and 5 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Ammar Arshad's work include Optimal Power Flow Distribution (16 papers), Microgrid Control and Optimization (13 papers) and Smart Grid Energy Management (11 papers). Ammar Arshad is often cited by papers focused on Optimal Power Flow Distribution (16 papers), Microgrid Control and Optimization (13 papers) and Smart Grid Energy Management (11 papers). Ammar Arshad collaborates with scholars based in Finland, Pakistan and Egypt. Ammar Arshad's co-authors include Matti Lehtonen, Karar Mahmoud, Hadeed Ahmed Sher, Jussi Ekström, Shahid Alam, Mahdi Pourakbari‐Kasmaei, Ahmed Al‐Durra, R. J. Dwayne Miller, Joni Klüss and Alfonso Damiano and has published in prestigious journals such as IEEE Access, Energies and International Journal of Electrical Power & Energy Systems.

In The Last Decade

Ammar Arshad

25 papers receiving 276 citations

Peers

Ammar Arshad
Mohammad Tasdighi United States
Ammar Arshad
Citations per year, relative to Ammar Arshad Ammar Arshad (= 1×) peers Mohammad Tasdighi

Countries citing papers authored by Ammar Arshad

Since Specialization
Citations

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

Fields of papers citing papers by Ammar Arshad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ammar Arshad

This figure shows the co-authorship network connecting the top 25 collaborators of Ammar Arshad. A scholar is included among the top collaborators of Ammar Arshad 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 Ammar Arshad. Ammar Arshad 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.
Arshad, Ammar, et al.. (2026). Metaheuristic Optimizer-Based Segregated Load Scheduling Approach for Household Energy Consumption Management. Eng—Advances in Engineering. 7(2). 65–65.
2.
Arshad, Ammar, et al.. (2025). Comparative Analysis of Three-Winding High-Frequency Transformer Parameter Estimation Methodologies. UNICA IRIS Institutional Research Information System (University of Cagliari). 956–961.
3.
Arshad, Ammar, et al.. (2025). Assessing LV Grid PV Hosting: A Machine Learning Perspective. 1–6.
5.
Arshad, Ammar, et al.. (2024). Effective Voting-Based Ensemble Learning for Segregated Load Forecasting With Low Sampling Data. IEEE Access. 12. 84074–84087. 3 indexed citations
6.
Arshad, Ammar, et al.. (2023). Machine learning based hosting capacity determination methodology for low voltage distribution networks. IET Generation Transmission & Distribution. 18(5). 911–920. 3 indexed citations
7.
Arshad, Ammar, et al.. (2023). Probabilistic hosting capacity assessment towards efficient PV-rich low-voltage distribution networks. Electric Power Systems Research. 226. 109940–109940. 9 indexed citations
8.
Arshad, Ammar, et al.. (2023). Hosting capacity in distribution grids: A review of definitions, performance indices, determination methodologies, and enhancement techniques. Energy Science & Engineering. 11(4). 1536–1559. 23 indexed citations
10.
Arshad, Ammar, et al.. (2022). Combined DR Pricing and Voltage Control Using Reinforcement Learning Based Multi-Agents and Load Forecasting. IEEE Access. 10. 130839–130849. 7 indexed citations
11.
Arshad, Ammar, et al.. (2022). Design and implementation of a fault detection method for a PV‐fed DC‐microgrid with power control mechanism. IET Electric Power Applications. 16(9). 1057–1071. 7 indexed citations
12.
Arshad, Ammar, et al.. (2021). Performance Analysis of Machine Learning Techniques for Load Forecasting. 1–6. 2 indexed citations
14.
Arshad, Ammar, et al.. (2021). Reactive Power Compensation Utilizing FACTS Devices. 1–6. 8 indexed citations
15.
Sher, Hadeed Ahmed, et al.. (2021). A fault detection, localization, and categorization method for PV fed DC-microgrid with power-sharing management among the nano-grids. International Journal of Electrical Power & Energy Systems. 137. 107858–107858. 15 indexed citations
16.
Arshad, Ammar & Matti Lehtonen. (2019). A comprehensive voltage control strategy with voltage flicker compensation for highly PV penetrated distribution networks. Electric Power Systems Research. 172. 105–113. 21 indexed citations
17.
Arshad, Ammar & Matti Lehtonen. (2019). Probabilistic Assessment of Photovoltaic Hosting Capacity in Finnish LV Networks. 1–5. 3 indexed citations
19.
Arshad, Ammar & Matti Lehtonen. (2018). Instantaneous Active/Reactive Power Control Strategy for Flicker Mitigation Under High PV Penetration. 1–6. 7 indexed citations
20.
Arshad, Ammar & Matti Lehtonen. (2016). Multi-agent system based distributed voltage control in medium voltage distribution systems. 1–6. 9 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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