Javad Lavaei

6.2k total citations · 2 hit papers
158 papers, 4.1k citations indexed

About

Javad Lavaei is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Numerical Analysis. According to data from OpenAlex, Javad Lavaei has authored 158 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Control and Systems Engineering, 60 papers in Electrical and Electronic Engineering and 35 papers in Numerical Analysis. Recurrent topics in Javad Lavaei's work include Optimal Power Flow Distribution (45 papers), Stability and Control of Uncertain Systems (36 papers) and Advanced Optimization Algorithms Research (34 papers). Javad Lavaei is often cited by papers focused on Optimal Power Flow Distribution (45 papers), Stability and Control of Uncertain Systems (36 papers) and Advanced Optimization Algorithms Research (34 papers). Javad Lavaei collaborates with scholars based in United States, Canada and Sweden. Javad Lavaei's co-authors include Steven H. Low, Somayeh Sojoudi, Ramtin Madani, Ross Baldick, Daniel K. Molzahn, Henrik Sandberg, Florian Dörfler, Amir G. Aghdam, Sambuddha Chakrabarti and Richard M. Murray and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Management Science.

In The Last Decade

Javad Lavaei

149 papers receiving 4.0k citations

Hit Papers

Zero Duality Gap in Optimal Power Flow Problem 2011 2026 2016 2021 2011 2017 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Zero Duality Gap in Optimal Power Flow Problem
    2011 852 citations Javad Lavaei et al. profile →
  2. A Survey of Distributed Optimization and Control Algorithms for Electric Power Systems
    2017 849 citations Javad Lavaei et al. profile →

Peers

Javad Lavaei
Ari Arapostathis United States
Emiliano Dall’Anese United States
Anjan Bose United States
C. Murillo-Sanchez United States
Aranya Chakrabortty United States
A.M. Stanković United States
Carsten W. Scherer Netherlands
Zoran Gajić United States
V.H. Quintana Canada
Y. Wardi United States
Ari Arapostathis United States
Javad Lavaei
Citations per year, relative to Javad Lavaei Javad Lavaei (= 1×) peers Ari Arapostathis

Countries citing papers authored by Javad Lavaei

Since Specialization
Citations

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

Fields of papers citing papers by Javad Lavaei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javad Lavaei

This figure shows the co-authorship network connecting the top 25 collaborators of Javad Lavaei. A scholar is included among the top collaborators of Javad Lavaei 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 Javad Lavaei. Javad Lavaei 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.
Lavaei, Javad, et al.. (2025). Distributed Optimization and Distributed Learning: A Paradigm Shift for Power Systems. IEEE Systems Journal. 19(4). 1038–1051.
2.
Lavaei, Javad, et al.. (2024). The Landscape of Deterministic and Stochastic Optimal Control Problems: One-Shot Optimization Versus Dynamic Programming. IEEE Transactions on Automatic Control. 69(12). 8587–8602.
3.
Zheng, Zeyu, et al.. (2023). Stochastic Localization Methods for Convex Discrete Optimization via Simulation. Operations Research. 73(2). 927–948. 2 indexed citations
4.
Zhang, Haixiang, et al.. (2023). A new complexity metric for nonconvex rank-one generalized matrix completion. Mathematical Programming. 207(1-2). 227–268. 2 indexed citations
5.
Jin, Ming, et al.. (2023). Non-stationary Risk-Sensitive Reinforcement Learning: Near-Optimal Dynamic Regret, Adaptive Detection, and Separation Design. Proceedings of the AAAI Conference on Artificial Intelligence. 37(6). 7405–7413.
6.
Lavaei, Javad, et al.. (2023). Semidefinite Programming versus Burer-Monteiro Factorization for Matrix Sensing. Proceedings of the AAAI Conference on Artificial Intelligence. 37(9). 10702–10710.
7.
Lavaei, Javad, et al.. (2023). Policy-Based Primal-Dual Methods for Convex Constrained Markov Decision Processes. Proceedings of the AAAI Conference on Artificial Intelligence. 37(9). 10963–10971. 3 indexed citations
8.
Lavaei, Javad, et al.. (2023). A Hitting Time Analysis for Stochastic Time-Varying Functions With Applications to Adversarial Attacks on Computation of Markov Decision Processes. IEEE Transactions on Automatic Control. 69(6). 3615–3630. 1 indexed citations
9.
Zheng, Zeyu, et al.. (2022). Gradient-Based Algorithms for Convex Discrete Optimization via Simulation. Operations Research. 71(5). 1815–1834. 8 indexed citations
10.
Lavaei, Javad, et al.. (2020). Connectivity Properties of the Set of Stabilizing Static Decentralized Controllers. SIAM Journal on Control and Optimization. 58(5). 2790–2820. 11 indexed citations
11.
Josz, Cédric, et al.. (2020). A survey on conic relaxations of optimal power flow problem. European Journal of Operational Research. 287(2). 391–409. 70 indexed citations
12.
Josz, Cédric, Yi Ouyang, Richard Y. Zhang, Javad Lavaei, & Somayeh Sojoudi. (2018). A theory on the absence of spurious optimality. arXiv (Cornell University). 1 indexed citations
13.
Mahboubi, Hamid & Javad Lavaei. (2018). Analysis of Semidefinite Programming Relaxation of Optimal Power Flow for Cyclic Networks. 3203–3210. 1 indexed citations
14.
Madani, Ramtin, et al.. (2015). ADMM for sparse semidefinite programming with applications to optimal power flow problem. 5932–5939. 27 indexed citations
15.
Sojoudi, Somayeh & Javad Lavaei. (2013). Convexification of Generalized Network Flow problem with application to power systems. 7552–7559. 11 indexed citations
16.
Lavaei, Javad. (2013). Optimal decentralized control problem as a rank-constrained optimization. 39–45. 27 indexed citations
17.
Sojoudi, Somayeh & Javad Lavaei. (2013). On the exactness of semidefinite relaxation for nonlinear optimization over graphs: Part I. 1043–1050. 25 indexed citations
18.
Sojoudi, Somayeh & Javad Lavaei. (2013). Convexification of optimal power flow problem by means of phase shifters. 1. 756–761. 8 indexed citations
19.
Lavaei, Javad, Somayeh Sojoudi, & Richard M. Murray. (2010). Simple Delay-Based Controller Design. Journal of Dairy Science. 83(6). 1333–41.
20.
Lavaei, Javad, Somayeh Sojoudi, & Richard M. Murray. (2010). Delay-Based Controller Design for Continuous-Time and Hybrid Applications. European Journal of Biochemistry. 260(1). 183–91. 1 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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