Mirsad Ćosović

410 total citations
25 papers, 235 citations indexed

About

Mirsad Ćosović is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, Mirsad Ćosović has authored 25 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 19 papers in Control and Systems Engineering and 5 papers in Computer Networks and Communications. Recurrent topics in Mirsad Ćosović's work include Electric Motor Design and Analysis (10 papers), Magnetic Bearings and Levitation Dynamics (9 papers) and Smart Grid Security and Resilience (5 papers). Mirsad Ćosović is often cited by papers focused on Electric Motor Design and Analysis (10 papers), Magnetic Bearings and Levitation Dynamics (9 papers) and Smart Grid Security and Resilience (5 papers). Mirsad Ćosović collaborates with scholars based in Bosnia and Herzegovina, Serbia and United Kingdom. Mirsad Ćosović's co-authors include Dejan Vukobratović, Javier Matamoros, Carles Antón‐Haro, Kelvin Anoh, Dušan Jakovetić, Dragana Bajović, Bamidele Adebisi, Darijo Raca, Mirjana Maksimović and Saša Mrdović and has published in prestigious journals such as IEEE Transactions on Power Systems, IEEE Communications Magazine and IEEE Internet of Things Journal.

In The Last Decade

Mirsad Ćosović

20 papers receiving 228 citations

Peers

Mirsad Ćosović
Jin-Woo Ahn South Korea
Ankit Singhal United States
Dennis P. Nolan United States
Mihai Comanescu United States
Jin-Woo Ahn South Korea
Mirsad Ćosović
Citations per year, relative to Mirsad Ćosović Mirsad Ćosović (= 1×) peers Jin-Woo Ahn

Countries citing papers authored by Mirsad Ćosović

Since Specialization
Citations

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

Fields of papers citing papers by Mirsad Ćosović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mirsad Ćosović

This figure shows the co-authorship network connecting the top 25 collaborators of Mirsad Ćosović. A scholar is included among the top collaborators of Mirsad Ćosović 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 Mirsad Ćosović. Mirsad Ćosović 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.
Ćosović, Mirsad, et al.. (2024). Dynamic Phasor Simulation of Systems with High Shares of Inverter-Based Resources. IFAC-PapersOnLine. 58(13). 206–212.
2.
Ćosović, Mirsad, et al.. (2024). DashReStreamer: Framework for Creation of Impaired Video Clips under Realistic Network Conditions. ACM Transactions on Multimedia Computing Communications and Applications. 21(1). 1–26.
3.
Ćosović, Mirsad, et al.. (2023). Graph neural networks on factor graphs for robust, fast, and scalable linear state estimation with PMUs. Sustainable Energy Grids and Networks. 34. 101056–101056. 8 indexed citations
4.
Ćosović, Mirsad, et al.. (2023). Distributed Inference Over Linear Models Using Alternating Gaussian Belief Propagation. IEEE Internet of Things Journal. 10(22). 19949–19963. 3 indexed citations
6.
Ćosović, Mirsad, et al.. (2022). Distributed Nonlinear State Estimation in Electric Power Systems using Graph Neural Networks. 8–13. 5 indexed citations
8.
Ćosović, Mirsad, Dragana Bajović, Juraj Machaj, et al.. (2019). Distributed Intelligent Illumination Control in the Context of Probabilistic Graphical Models. 1–6. 1 indexed citations
10.
Ćosović, Mirsad & Dejan Vukobratović. (2018). Distributed Gauss–Newton Method for State Estimation Using Belief Propagation. IEEE Transactions on Power Systems. 34(1). 648–658. 22 indexed citations
11.
Anoh, Kelvin, Dragana Bajović, Dejan Vukobratović, et al.. (2018). Distributed Energy Trading with Communication Constraints. 1–6. 17 indexed citations
12.
Ćosović, Mirsad & Dejan Vukobratović. (2017). Distributed State Estimation in Power System Using Belief Propagation: Algorithms and Performance.. arXiv (Cornell University). 1 indexed citations
13.
Ćosović, Mirsad, et al.. (2017). 5G Mobile Cellular Networks: Enabling Distributed State Estimation for Smart Grids. IEEE Communications Magazine. 55(10). 62–69. 93 indexed citations
14.
Ćosović, Mirsad, et al.. (2017). Demand response for thermostatically controlled loads using belief propagation. 20. 1–6. 1 indexed citations
15.
16.
Ćosović, Mirsad, et al.. (2012). Design optimization of 8/14 switched reluctance machine for electric vehicle. 163. 2654–2659. 11 indexed citations
18.
Ćosović, Mirsad, et al.. (2011). Design of wound rotor low-voltage synchronous generator. 1. 1–5.
19.
Ćosović, Mirsad, et al.. (2011). Multidimensional performance optimization of switched reluctance machines. 41. 1–7. 2 indexed citations
20.
Ćosović, Mirsad, et al.. (2010). Switched reluctance machines for hybrid electric vehicles. 1–6. 30 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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