Saeed Maleki
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques 9
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- Caching and Content Delivery 3
- Distributed and Parallel Computing Systems 3
- Artificial Intelligence top 5%
- Algorithms and Data Compression 4
- Logic, programming, and type systems 3
- Speech Recognition and Synthesis 3
- Natural Language Processing Techniques 3
- Information Systems top 10%
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- Graph Theory and Algorithms 3
- Co-authors
- David PaduaMadanlal MusuvathiMaría Jesús GarzaránTodd MytkowiczYaoqing GaoOlli SaarikiviKristin LauterHao Chen
- Journals
- ACM SIGPLAN Notices (2 papers)IEEE Transactions on Parallel and Distributed Systems (1 paper)IEEE Micro (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Saeed Maleki
22 papers receiving 492 citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Hardware and Architecture 199
- Computer Networks and Communications 201
- Artificial Intelligence 225
- Software 16
- Information Systems 88
Countries citing papers authored by Saeed Maleki
This map shows the geographic impact of Saeed Maleki'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 Maleki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saeed Maleki more than expected).
Fields of papers citing papers by Saeed Maleki
This network shows the impact of papers produced by Saeed Maleki. 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 Maleki. The network helps show where Saeed Maleki may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Saeed Maleki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 0 | |
| 3 | Splitwise: Efficient Generative LLM Inference Using Phase Splittingbreakdown → | 2024 | 67 |
| 4 | 2023 | 1 | |
| 5 | 2023 | 12 | |
| 6 | 2022 | 16 | |
| 7 | 2019 | 125 | |
| 8 | 2018 | 1 | |
| 9 | 2018 | 16 | |
| 10 | 2017 | 6 | |
| 11 | 2016 | 3 | |
| 12 | 2016 | 10 | |
| 13 | 2016 | 2 | |
| 14 | 2016 | 20 | |
| 15 | 2016 | 7 | |
| 16 | Evaluation of architectural elements of the city of Yazd historical context | 2014 | 1 |
| 17 | 2014 | 21 | |
| 18 | 2014 | 14 | |
| 19 | 2012 | 24 | |
| 20 | An assessment of pedestrian networks in accessible neighborhoods: traditional neighborhoods in Iran | 2011 | 6 |
About Saeed Maleki
Saeed Maleki is a scholar working on Hardware and Architecture, Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 23 papers that have together received 503 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (9 papers), Algorithms and Data Compression (4 papers), Graph Theory and Algorithms (3 papers), Caching and Content Delivery (3 papers), Logic, programming, and type systems (3 papers), Distributed and Parallel Computing Systems (3 papers), Speech Recognition and Synthesis (3 papers) and Natural Language Processing Techniques (3 papers). The work is most often cited by research in Hardware and Architecture (199 citations), Computer Networks and Communications (201 citations), Artificial Intelligence (225 citations), Software (16 citations) and Information Systems (88 citations). Saeed Maleki has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include David Padua, Madanlal Musuvathi, María Jesús Garzarán, Todd Mytkowicz, Yaoqing Gao, Olli Saarikivi, Kristin Lauter, Hao Chen, Roshan Dathathri and Kim Laine. Their work appears in journals such as ACM SIGPLAN Notices, IEEE Transactions on Parallel and Distributed Systems, IEEE Micro, Molecules and Proceedings of the ACM on Programming Languages.
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.