Maged Michael
Impact in
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
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- Distributed systems and fault tolerance
- Advanced Data Storage Technologies
- Interconnection Networks and Systems
- Distributed and Parallel Computing Systems
Papers in
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- Parallel Computing and Optimization Techniques 7
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- Distributed systems and fault tolerance 7
- Advanced Data Storage Technologies 3
- Distributed and Parallel Computing Systems 1
- Co-authors
- Peng Wu (4 shared papers)Colin Blundell (2 shared papers)Călin Caşcaval (2 shared papers)Harold W. Cain (2 shared papers)Siddhartha Chatterjee (2 shared papers)Robert W. Wisniewski (1 shared paper)José Eduardo Moreira (1 shared paper)Christoph von Praun (2 shared papers)
- Journals
- Queue (1 paper)Communications of the ACM (1 paper)Neuropeptides (1 paper)Lecture notes in computer science (1 paper)
- Partner nations
- United StatesIsraelChina
In The Last Decade
Maged Michael
9 papers receiving 570 citations
Peers
Comparison fields: 5 of 46
- Hardware and Architecture 377
- Computer Networks and Communications 541
- Experimental and Cognitive Psychology 110
- Medical Terminology 1
- Information Systems 80
Countries citing papers authored by Maged Michael
This map shows the geographic impact of Maged Michael'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 Maged Michael with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maged Michael more than expected).
Fields of papers citing papers by Maged Michael
This network shows the impact of papers produced by Maged Michael. 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 Maged Michael. The network helps show where Maged Michael may publish in the future.
Co-authors
The 23 scholars most cited alongside Maged Michael, 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 | 2008 | 166 | |
| 2 | 2012 | 137 | |
| 3 | 2007 | 103 | |
| 4 | 2008 | 101 | |
| 5 | 2007 | 78 | |
| 6 | 2010 | 10 | |
| 7 | 2019 | 5 | |
| 8 | 1985 | 1 | |
| 9 | A Theory of Memory Models (Extended Abstract) | 2006 | 1 |
About Maged Michael
Maged Michael is a scholar working on Hardware and Architecture, Computer Networks and Communications, Experimental and Cognitive Psychology, Emergency Medicine and Artificial Intelligence, having authored 9 papers that have together received 602 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (7 papers), Parallel Computing and Optimization Techniques (7 papers), Advanced Data Storage Technologies (3 papers), Logic, programming, and type systems (2 papers), Cognitive Functions and Memory (2 papers), Distributed and Parallel Computing Systems (1 paper), Poisoning and overdose treatments (1 paper) and Cloud Computing and Resource Management (1 paper). The work is most often cited by research in Hardware and Architecture (377 citations), Computer Networks and Communications (541 citations), Experimental and Cognitive Psychology (110 citations), Medical Terminology (1 citation) and Information Systems (80 citations). Maged Michael has collaborated with scholars based in United States, Israel and China. Frequent co-authors include Peng Wu, Colin Blundell, Călin Caşcaval, Harold W. Cain, Siddhartha Chatterjee, Robert W. Wisniewski, José Eduardo Moreira, Christoph von Praun, Vijay Saraswat and Radha Jagadeesan. Their work appears in journals such as Queue, Communications of the ACM, Neuropeptides and Lecture notes in computer science.
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.