Milad Hashemi
- Hardware and Architecture top 5%
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Information Systems top 10%
- Co-authors
- Yale N. PattOnur MutluKevin SwerskyDanai KoutraYujun YanYaoqing YangEiman EbrahimiMuhammad Suleman
- Topics
- Parallel Computing and Optimization Techniques (9 papers)Advanced Data Storage Technologies (8 papers)Interconnection Networks and Systems (3 papers)
- Journals
- IEEE MicroIEEE Computer Architecture LettersarXiv (Cornell University)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Milad Hashemi
14 papers receiving 365 citations
Peers
Comparison fields: 5 of 35
- Hardware and Architecture 227
- Computer Networks and Communications 210
- Artificial Intelligence 128
- Electrical and Electronic Engineering 97
- Information Systems 78
Countries citing papers authored by Milad Hashemi
This map shows the geographic impact of Milad 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 Milad Hashemi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Milad Hashemi more than expected).
Fields of papers citing papers by Milad Hashemi
This network shows the impact of papers produced by Milad 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 Milad Hashemi. The network helps show where Milad Hashemi may publish in the future.
Co-authorship network of co-authors of Milad Hashemi
This figure shows the co-authorship network connecting the top 25 collaborators of Milad Hashemi. A scholar is included among the top collaborators of Milad 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 Milad Hashemi. Milad Hashemi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 7 | |
| 3 | 92 | |
| 4 | 48 | |
| 5 | Neural Execution Engines: Learning to Execute Subroutines | 1 |
| 6 | 3 | |
| 7 | 1 | |
| 8 | Learning Memory Access Patterns | 8 |
| 9 | 40 | |
| 10 | 42 | |
| 11 | 37 | |
| 12 | 24 | |
| 13 | 4 | |
| 14 | 67 |
About Milad Hashemi
Milad Hashemi is a scholar working on Hardware and Architecture, Computer Networks and Communications and Artificial Intelligence, having authored 14 papers that have together received 377 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (9 papers), Advanced Data Storage Technologies (8 papers) and Interconnection Networks and Systems (3 papers). The work is most often cited by research in Hardware and Architecture (227 citations), Computer Networks and Communications (210 citations) and Artificial Intelligence (128 citations). Milad Hashemi has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Yale N. Patt, Onur Mutlu, Kevin Swersky, Danai Koutra, Yujun Yan, Yaoqing Yang, Eiman Ebrahimi, Muhammad Suleman, Chris Wilkerson and Parthasarathy Ranganathan. Their work appears in journals such as IEEE Micro, IEEE Computer Architecture Letters and arXiv (Cornell University).
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.