Michael Ferdman
- Hardware and Architecture top 0.2%
- Parallel Computing and Optimization Techniques 36
- Computer Networks and Communications top 0.5%
- Advanced Data Storage Technologies 29
- Interconnection Networks and Systems 11
- Distributed systems and fault tolerance 6
- Information Systems top 0.5%
- Cloud Computing and Resource Management 16
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- Advanced Neural Network Applications 6
- Computational Mathematics top 10%
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- Advanced Memory and Neural Computing 7
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- Adversarial Robustness in Machine Learning 5
- Co-authors
- Babak FalsafiAnastasia AilamakiPeter MilderNikos HardavellasCansu KaynakHan ChenManoj AlwaniStavros Volos
- Journals
- IEEE Micro (7 papers)ACM SIGPLAN Notices (2 papers)International Journal on Software Tools for Technology Transfer (1 paper)
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Michael Ferdman
59 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Hardware and Architecture 2.1k
- Computer Networks and Communications 2.3k
- Information Systems 1.1k
- Computer Vision and Pattern Recognition 593
- Computational Mathematics 12
Countries citing papers authored by Michael Ferdman
This map shows the geographic impact of Michael Ferdman'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 Michael Ferdman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Ferdman more than expected).
Fields of papers citing papers by Michael Ferdman
This network shows the impact of papers produced by Michael Ferdman. 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 Michael Ferdman. The network helps show where Michael Ferdman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Ferdman, 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 | 2024 | 0 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 5 | |
| 4 | 2020 | 17 | |
| 5 | 2020 | 7 | |
| 6 | 2019 | 7 | |
| 7 | 2018 | 55 | |
| 8 | 2018 | 22 | |
| 9 | 2018 | 10 | |
| 10 | 2017 | 92 | |
| 11 | Fused-layer CNN acceleratorsbreakdown → | 2016 | 406 |
| 12 | 2015 | 7 | |
| 13 | 2015 | 25 | |
| 14 | Proceedings of the 47th Annual IEEE/ACM International Symposium on Microarchitecture | 2014 | 1 |
| 15 | JIT Kernels: An Idea Whose Time Has (Just) Come | 2013 | 1 |
| 16 | 2012 | 102 | |
| 17 | 2012 | 68 | |
| 18 | 2012 | 21 | |
| 19 | 2009 | 65 | |
| 20 | 2008 | 161 |
About Michael Ferdman
Michael Ferdman is a scholar working on Hardware and Architecture, Computer Networks and Communications, Information Systems, Software and Artificial Intelligence, having authored 60 papers that have together received 3.4k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (36 papers), Advanced Data Storage Technologies (29 papers), Cloud Computing and Resource Management (16 papers), Interconnection Networks and Systems (11 papers), Advanced Memory and Neural Computing (7 papers), Distributed systems and fault tolerance (6 papers), Advanced Neural Network Applications (6 papers) and Adversarial Robustness in Machine Learning (5 papers). The work is most often cited by research in Hardware and Architecture (2.1k citations), Computer Networks and Communications (2.3k citations), Information Systems (1.1k citations), Computer Vision and Pattern Recognition (593 citations) and Computational Mathematics (12 citations). Michael Ferdman has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Babak Falsafi, Anastasia Ailamaki, Peter Milder, Nikos Hardavellas, Cansu Kaynak, Han Chen, Manoj Alwani, Stavros Volos, Almutaz Adileh and Djordje Jevdjic. Their work appears in journals such as IEEE Micro, ACM SIGPLAN Notices, International Journal on Software Tools for Technology Transfer, Bioinformatics and ACM Transactions on Computer Systems.
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.