Ali Hashemi

1.0k total citations
31 papers, 502 citations indexed

About

Ali Hashemi is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Ali Hashemi has authored 31 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 11 papers in Computer Networks and Communications and 10 papers in Signal Processing. Recurrent topics in Ali Hashemi's work include Blind Source Separation Techniques (8 papers), Sparse and Compressive Sensing Techniques (7 papers) and Metaheuristic Optimization Algorithms Research (6 papers). Ali Hashemi is often cited by papers focused on Blind Source Separation Techniques (8 papers), Sparse and Compressive Sensing Techniques (7 papers) and Metaheuristic Optimization Algorithms Research (6 papers). Ali Hashemi collaborates with scholars based in United States, Canada and Germany. Ali Hashemi's co-authors include M. R. Meybodi, George Fitzmaurice, Tovi Grossman, Rubaiat Habib Kazi, Hyunmin Cheong, Justin Matejka, Erin Bradner, Michael Glueck, Stefan Haufe and Srikantan S. Nagarajan and has published in prestigious journals such as NeuroImage, IEEE Transactions on Medical Imaging and Applied Soft Computing.

In The Last Decade

Ali Hashemi

29 papers receiving 486 citations

Peers

Ali Hashemi

AI

CTM

CVPR

CNC

ME

Miao Liu China

Jakub Pachocki United States

Antonin Raffin Germany

Ashley Hill France

Chih‐Min Lin Taiwan

Jorge M. Cruz‐Duarte Mexico

Szilveszter Kovács Hungary

Yunfeng Liu China

Wanting Ji China

Zenon Kulpa Poland

Miao Liu China

Ali Hashemi

156 ×0.7

AI

66 ×0.7

CTM

217 ×2.5

CVPR

104 ×1.4

CNC

45 ×0.7

ME

Citations per year, relative to Ali Hashemi Ali Hashemi (= 1×) peers Miao Liu

Countries citing papers authored by Ali Hashemi

Since Specialization

Citations

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

Fields of papers citing papers by Ali Hashemi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Hashemi

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Hashemi. A scholar is included among the top collaborators of Ali Hashemi 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 Hashemi. Ali Hashemi 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

1.

Hashemi, Ali, et al.. (2025). Enhancing Brain Source Reconstruction by Initializing 3-D Neural Networks With Physical Inverse Solutions. IEEE Transactions on Medical Imaging. 45(1). 231–242.

2.

Ghosh, Sanjay, et al.. (2025). Structured noise champagne: an empirical Bayesian algorithm for electromagnetic brain imaging with structured noise. Frontiers in Human Neuroscience. 19. 1386275–1386275.

3.

Hashemi, Ali, et al.. (2023). Speech Emotion Recognition Using Deep Learning Techniques and Augmented Features. 57. 399–404. 1 indexed citations

4.

Ghosh, Sanjay, Ali Hashemi, Yijing Gao, et al.. (2023). Bayesian Adaptive Beamformer for Robust Electromagnetic Brain Imaging of Correlated Sources in High Spatial Resolution. IEEE Transactions on Medical Imaging. 42(9). 2502–2512. 7 indexed citations

5.

Hashemi, Ali, et al.. (2022). Empirical Bayesian localization of event-related time-frequency neural activity dynamics. NeuroImage. 258. 119369–119369. 1 indexed citations

6.

Hashemi, Ali, et al.. (2021). Unification of sparse Bayesian learning algorithms for electromagnetic brain imaging with the majorization minimization framework. NeuroImage. 239. 118309–118309. 17 indexed citations

7.

Cai, Chang, Ali Hashemi, Mithun Diwakar, et al.. (2020). Robust estimation of noise for electromagnetic brain imaging with the champagne algorithm. NeuroImage. 225. 117411–117411. 31 indexed citations

8.

Chen, Jin, et al.. (2019). An Improved Dynamic Vertical Partitioning Technique for Semi-Structured Data. 35. 243–256. 4 indexed citations

9.

Hashemi, Ali & Stefan Haufe. (2018). Improving EEG Source Localization Through Spatio-Temporal Sparse Bayesian Learning. 1935–1939. 5 indexed citations

10.

Matejka, Justin, Michael Glueck, Erin Bradner, et al.. (2018). Dream Lens. 1–12. 87 indexed citations

11.

Suneja, Sahil, Ricardo Koller, Canturk Isci, et al.. (2017). Safe Inspection of Live Virtual Machines. 97–111. 7 indexed citations

12.

Suneja, Sahil, Ricardo Koller, Canturk Isci, et al.. (2017). Safe Inspection of Live Virtual Machines. ACM SIGPLAN Notices. 52(7). 97–111. 3 indexed citations

13.

Hashemi, Ali, Mohammad Rostami, & Ngai‐Man Cheung. (2016). Efficient Environmental Temperature Monitoring Using Compressed Sensing. 2 indexed citations

14.

Chen, Jin, et al.. (2015). Ensemble: A Tool for Performance Modeling of Applications in Cloud Data Centers. IEEE Transactions on Cloud Computing. 4(1). 20–33. 8 indexed citations

15.

Chen, Jin, et al.. (2014). Chorus: an interactive approach to incremental modeling and validation in clouds. 61–74. 1 indexed citations

16.

Noroozi, Vahid, Ali Hashemi, & Mohammad Reza Meybodi. (2012). Alpinist CellularDE. 1519–1520. 10 indexed citations

17.

Hashemi, Ali, et al.. (2010). A hibernating multi-swarm optimization algorithm for dynamic environments. 363–369. 49 indexed citations

18.

Hashemi, Ali & M. R. Meybodi. (2010). A note on the learning automata based algorithms for adaptive parameter selection in PSO. Applied Soft Computing. 11(1). 689–705. 77 indexed citations

19.

Hanafizadeh, Payam, et al.. (2009). Robust Strategic Planning Employing Scenario Planning and Fuzzy Inference System. International Journal of Decision Support System Technology. 1(3). 21–45. 3 indexed citations

20.

Hashemi, Ali & M. R. Meybodi. (2009). A multi-role cellular PSO for dynamic environments. 412–417. 32 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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