Mohammad Alizadeh

3.9k total citations · 2 hit papers
22 papers, 2.1k citations indexed

About

Mohammad Alizadeh is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mohammad Alizadeh has authored 22 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 5 papers in Information Systems and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mohammad Alizadeh's work include IoT and Edge/Fog Computing (3 papers), Statistical Distribution Estimation and Applications (3 papers) and Cloud Computing and Resource Management (3 papers). Mohammad Alizadeh is often cited by papers focused on IoT and Edge/Fog Computing (3 papers), Statistical Distribution Estimation and Applications (3 papers) and Cloud Computing and Resource Management (3 papers). Mohammad Alizadeh collaborates with scholars based in United States, Iran and United Kingdom. Mohammad Alizadeh's co-authors include Hongzi Mao, Ravi Netravali, Srikanth Kandula, Ishai Menache, Kai Chen, Li Chen, Wei Bai, Amir Masoud Rahmani, Ebrahim Akbari and Mehrdad Khani and has published in prestigious journals such as Communications of the ACM, Journal of Computational and Applied Mathematics and Journal of Statistical Computation and Simulation.

In The Last Decade

Mohammad Alizadeh

21 papers receiving 2.0k citations

Hit Papers

Neural Adaptive Video Streaming with Pensieve 2016 2026 2019 2022 2017 2016 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad Alizadeh United States 11 1.2k 873 510 483 350 22 2.1k
Tim Wauters Belgium 27 1.5k 1.3× 858 1.0× 458 0.9× 592 1.2× 364 1.0× 156 2.3k
Philip Branch Australia 21 1.4k 1.2× 489 0.6× 236 0.5× 478 1.0× 367 1.0× 96 2.1k
Deep Medhi United States 24 2.0k 1.7× 471 0.5× 475 0.9× 284 0.6× 802 2.3× 188 2.5k
Dan Lin United States 28 772 0.7× 509 0.6× 782 1.5× 474 1.0× 324 0.9× 95 2.4k
Junchen Jiang United States 26 2.0k 1.7× 2.1k 2.4× 237 0.5× 995 2.1× 467 1.3× 82 3.4k
Rocky K. C. Chang Hong Kong 21 1.6k 1.4× 814 0.9× 156 0.3× 610 1.3× 348 1.0× 115 2.2k
Vana Kalogeraki Greece 25 2.2k 1.8× 220 0.3× 753 1.5× 324 0.7× 237 0.7× 185 2.8k
Panos K. Chrysanthis United States 25 2.3k 2.0× 315 0.4× 652 1.3× 508 1.1× 557 1.6× 251 3.0k
Ibrahim Kamel United Arab Emirates 23 793 0.7× 745 0.9× 515 1.0× 925 1.9× 96 0.3× 129 2.1k
Dongxiao Yu China 27 1.5k 1.2× 355 0.4× 518 1.0× 178 0.4× 712 2.0× 230 2.7k

Countries citing papers authored by Mohammad Alizadeh

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Alizadeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Alizadeh

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Alizadeh. A scholar is included among the top collaborators of Mohammad Alizadeh 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 Mohammad Alizadeh. Mohammad Alizadeh 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.
Ratnasamy, Sylvia, Mohammad Alizadeh, Mosharaf Chowdhury, et al.. (2025). Resilient Infrastructures via Digital Unification. Communications of the ACM. 69(1). 38–40.
2.
Alizadeh, Mohammad & Zheng Zhu. (2024). A comprehensive survey of space robotic manipulators for on-orbit servicing. Frontiers in Robotics and AI. 11. 1470950–1470950. 6 indexed citations
3.
Negi, Parimarjan, et al.. (2023). Unshackling Database Benchmarking from Synthetic Workloads. 3659–3662. 2 indexed citations
4.
Alizadeh, Mohammad, et al.. (2023). Reconstruction regions for unobserved middle order statistics in the exponential distribution. Journal of Computational and Applied Mathematics. 441. 115696–115696. 1 indexed citations
5.
Asgharzadeh, A., Mohammad Alizadeh, & Mohammad Z. Raqab. (2023). Inverse Lindley distribution: different methods for estimating their PDF and CDF. Journal of Statistical Computation and Simulation. 94(3). 604–623. 3 indexed citations
6.
Alizadeh, Mohammad, et al.. (2022). TPEL: Task possible execution level for effective scheduling in fog–cloud environment. Cluster Computing. 25(6). 4653–4672. 4 indexed citations
7.
Khani, Mehrdad, Vibhaalakshmi Sivaraman, & Mohammad Alizadeh. (2021). Efficient Video Compression via Content-Adaptive Super-Resolution. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 4501–4510. 29 indexed citations
8.
Khani, Mehrdad, et al.. (2021). Real-Time Video Inference on Edge Devices via Adaptive Model Streaming. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 4552–4562. 29 indexed citations
9.
Bastani, Favyen, Songtao He, Karthik Gopalakrishnan, et al.. (2020). MIRIS: Fast Object Track Queries in Video. 1907–1921. 38 indexed citations
10.
Alizadeh, Mohammad, et al.. (2020). Task scheduling approaches in fog computing: A systematic review. International Journal of Communication Systems. 33(16). 76 indexed citations
11.
Kraska, Tim, Mohammad Alizadeh, Alex Beutel, et al.. (2019). SageDB: A Learned Database System. DSpace@MIT (Massachusetts Institute of Technology). 70 indexed citations
12.
Goyal, Prateesh, et al.. (2018). Elasticity Detection: A Building Block for Delay-Sensitive Congestion Control. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations
13.
Cangialosi, Frank, Prateesh Goyal, Srinivas Narayana, et al.. (2018). Restructuring Endpoint Congestion Control. 25–25. 7 indexed citations
14.
Cangialosi, Frank, et al.. (2017). The Case for Moving Congestion Control Out of the Datapath. 101–107. 17 indexed citations
15.
Alizadeh, Mojtaba, et al.. (2016). A new four-parameter lifetime distribution. Journal of Applied Statistics. 44(5). 767–797. 15 indexed citations
16.
Chen, Li, Kai Chen, Wei Bai, & Mohammad Alizadeh. (2016). Scheduling Mix-flows in Commodity Datacenters with Karuna. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 174–187. 114 indexed citations
17.
Mao, Hongzi, Mohammad Alizadeh, Ishai Menache, & Srikanth Kandula. (2016). Resource Management with Deep Reinforcement Learning. 50–56. 722 indexed citations breakdown →
18.
Alizadeh, Mohammad, et al.. (2015). Threshold Effects of External Debt on Economic Growth of Iran: Smooth Transition Regression (STR) Model. RePEc: Research Papers in Economics. 2(2). 1–24. 1 indexed citations
19.
Alizadeh, Mohammad, et al.. (2012). Versatile refresh. 247–258. 15 indexed citations
20.
Alizadeh, Mohammad, et al.. (2012). Versatile refresh. ACM SIGMETRICS Performance Evaluation Review. 40(1). 247–258. 5 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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