Saeed Ghadimi

3.0k total citations · 2 hit papers
21 papers, 1.3k citations indexed

About

Saeed Ghadimi is a scholar working on Artificial Intelligence, Computational Mechanics and Management Science and Operations Research. According to data from OpenAlex, Saeed Ghadimi has authored 21 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 11 papers in Computational Mechanics and 8 papers in Management Science and Operations Research. Recurrent topics in Saeed Ghadimi's work include Stochastic Gradient Optimization Techniques (12 papers), Sparse and Compressive Sensing Techniques (11 papers) and Advanced Optimization Algorithms Research (4 papers). Saeed Ghadimi is often cited by papers focused on Stochastic Gradient Optimization Techniques (12 papers), Sparse and Compressive Sensing Techniques (11 papers) and Advanced Optimization Algorithms Research (4 papers). Saeed Ghadimi collaborates with scholars based in United States, Canada and Iran. Saeed Ghadimi's co-authors include Guanghui Lan, Hongchao Zhang, Mengdi Wang, Andrzej Ruszczyński, Reza Zanjirani Farahani, Ferenc Szidarovszky, Krishnakumar Balasubramanian, Warren B. Powell, Anthony Nguyen and Parviz Norouzi and has published in prestigious journals such as European Journal of Operational Research, IEEE Transactions on Signal Processing and Journal of the Operational Research Society.

In The Last Decade

Saeed Ghadimi

16 papers receiving 1.2k citations

Hit Papers

align trajectories

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.

Stochastic First- and Zeroth-Order Methods for Nonconvex Stochastic Programming

2013 481 citations Saeed Ghadimi, Guanghui Lan SIAM Journal on Optimization profile →
Accelerated gradient methods for nonconvex nonlinear and stochastic programming

2015 238 citations Saeed Ghadimi, Guanghui Lan Mathematical Programming profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Saeed Ghadimi United States	11	931	700	245	219	165	21	1.3k
Lin Xiao United States	19	1.3k 1.4×	833 1.2×	212 0.9×	359 1.6×	180 1.1×	52	1.9k
Alekh Agarwal United States	21	1.0k 1.1×	420 0.6×	54 0.2×	419 1.9×	85 0.5×	61	1.5k
Akiko Takeda Japan	18	177 0.2×	240 0.3×	221 0.9×	251 1.1×	232 1.4×	116	1.0k
Ding Zhou China	14	713 0.8×	331 0.5×	51 0.2×	66 0.3×	78 0.5×	30	1.4k
Tao Pham Dinh France	14	153 0.2×	186 0.3×	197 0.8×	83 0.4×	131 0.8×	35	555
Yin Tat Lee United States	18	338 0.4×	99 0.1×	109 0.4×	45 0.2×	373 2.3×	46	816
Reza Ghanbari Iran	18	105 0.1×	235 0.3×	479 2.0×	116 0.5×	235 1.4×	81	971
Zirui Zhou Canada	11	523 0.6×	159 0.2×	134 0.5×	34 0.2×	90 0.5×	26	775
Amit Deshpande United States	10	511 0.5×	223 0.3×	33 0.1×	30 0.1×	133 0.8×	25	944
Karthik Sridharan United States	19	1.3k 1.4×	354 0.5×	14 0.1×	388 1.8×	95 0.6×	47	1.8k

Countries citing papers authored by Saeed Ghadimi

Since Specialization

Citations

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

Fields of papers citing papers by Saeed Ghadimi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saeed Ghadimi

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

All Works

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20 of 20 papers shown

Aghasi, Alireza & Saeed Ghadimi. (2025). Fully Zeroth-Order Bilevel Programming via Gaussian Smoothing. Journal of Optimization Theory and Applications. 205(2). 1 indexed citations

Stoeffler, Quentin, et al.. (2025). Contextualized poverty targeting with multimodal spatial data and machine learning in Brazzaville, Congo. Cities. 170. 106429–106429.

Aghasi, Alireza, et al.. (2024). An Adversarially Robust Formulation of Linear Regression With Missing Data. IEEE Transactions on Signal Processing. 72. 4950–4966.

Ghadimi, Saeed, et al.. (2024). Using Artificial Intelligence/machine learning to evaluate the distribution of community development aid across Myanmar. Socio-Economic Planning Sciences. 98. 102139–102139.

Ghadimi, Saeed & Warren B. Powell. (2023). Stochastic search for a parametric cost function approximation: Energy storage with rolling forecasts. European Journal of Operational Research. 312(2). 641–652. 5 indexed citations

Ghadimi, Saeed, et al.. (2023). Efficient Algorithms for High-Dimensional Quantum Optimal Control of a Transmon Qubit. Physical Review Applied. 19(4).

Balasubramanian, Krishnakumar, et al.. (2022). Improved complexities for stochastic conditional gradient methods under interpolation-like conditions. Operations Research Letters. 50(2). 184–189.

Balasubramanian, Krishnakumar, Saeed Ghadimi, & Anthony Nguyen. (2022). Stochastic Multilevel Composition Optimization Algorithms with Level-Independent Convergence Rates. SIAM Journal on Optimization. 32(2). 519–544. 10 indexed citations

Ghadimi, Saeed, Andrzej Ruszczyński, & Mengdi Wang. (2020). A Single Timescale Stochastic Approximation Method for Nested Stochastic Optimization. SIAM Journal on Optimization. 30(1). 960–979. 38 indexed citations

10.

Ghadimi, Saeed, Guanghui Lan, & Hongchao Zhang. (2019). Generalized Uniformly Optimal Methods for Nonlinear Programming. Journal of Scientific Computing. 79(3). 1854–1881. 25 indexed citations

11.

Balasubramanian, Krishnakumar & Saeed Ghadimi. (2018). Zeroth-order (Non)-Convex Stochastic Optimization via Conditional Gradient and Gradient Updates. arXiv (Cornell University). 31. 3459–3468. 2 indexed citations

12.

Ghadimi, Saeed. (2018). Conditional gradient type methods for composite nonlinear and stochastic optimization. Mathematical Programming. 173(1-2). 431–464. 16 indexed citations

13.

Ghadimi, Saeed & Guanghui Lan. (2015). Accelerated gradient methods for nonconvex nonlinear and stochastic programming. Mathematical Programming. 156(1-2). 59–99. 238 indexed citations breakdown →

14.

Ghadimi, Saeed, Guanghui Lan, & Hongchao Zhang. (2014). Mini-batch stochastic approximation methods for nonconvex stochastic composite optimization. Mathematical Programming. 155(1-2). 267–305. 192 indexed citations

15.

Farahani, Reza Zanjirani, W.Y. Szeto, & Saeed Ghadimi. (2014). The single facility location problem with time-dependent weights and relocation cost over a continuous time horizon. Journal of the Operational Research Society. 66(2). 265–277. 7 indexed citations

16.

Ghadimi, Saeed & Guanghui Lan. (2013). Stochastic First- and Zeroth-Order Methods for Nonconvex Stochastic Programming. SIAM Journal on Optimization. 23(4). 2341–2368. 481 indexed citations breakdown →

17.

Ghadimi, Saeed & Guanghui Lan. (2013). Optimal Stochastic Approximation Algorithms for Strongly Convex Stochastic Composite Optimization, II: Shrinking Procedures and Optimal Algorithms. SIAM Journal on Optimization. 23(4). 2061–2089. 82 indexed citations

18.

Ghadimi, Saeed & Guanghui Lan. (2012). Optimal Stochastic Approximation Algorithms for Strongly Convex Stochastic Composite Optimization I: A Generic Algorithmic Framework. SIAM Journal on Optimization. 22(4). 1469–1492. 135 indexed citations

19.

Ganjali, Mohammad Reza, Saeed Ghadimi, Gholam Abbas Moosavi, et al.. (2011). Novel Chromate Sensor Based on MWCNTs/Nanosilica/Ionic Liouid/Eu Complex/Graphite as a New Nano-Composite and Its Application for Determination of Chromate Ion Concentration in Waste Water of Chromium Electroplating. International Journal of Electrochemical Science. 6(3). 739–748. 15 indexed citations

20.

Ghadimi, Saeed, et al.. (2011). Coordination of advertising in supply chain management with cooperating manufacturer and retailers. IMA Journal of Management Mathematics. 24(1). 1–19. 29 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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