Maged M. Michael

3.1k citations
40 papers · 1.8k indexed · h-index 19

Maged M. Michael

39 papers receiving 1.7k citations

Peers

Maged M. Michael
Comparison fields: 5 of 50
  • Hardware and Architecture 1.4k
  • Computer Networks and Communications 1.7k
  • Experimental and Cognitive Psychology 154
  • Artificial Intelligence 267
  • Information Systems 169
Replace Cǎlin Caşcaval with:
Cǎlin Caşcaval United States
Victor Luchangco United States
Mark Moir United States
Danny Hendler Israel
Christoph von Praun United States
Simon Marlow United Kingdom
Vassos Hadzilacos Canada
David Tarditi United States
A. Schiper Switzerland
Maged M. Michael relative to Cǎlin Caşcaval United States Cǎlin Caşcaval's profile →
Citations per field
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Citations per year

Countries citing papers authored by Maged M. Michael

Since Specialization
Citations

This map shows the geographic impact of Maged M. 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 M. 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 M. Michael more than expected).

Fields of papers citing papers by Maged M. Michael

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maged M. 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 M. Michael. The network helps show where Maged M. Michael may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Maged M. Michael, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Maged M. Michael Line = papers co-authored together Maged M. Michael links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201554
2 20157
3 20153
4 201367
5 20134
6 20131
7 201314
8 201153
9 201155
10 20109
11 20108
12 200918
13
Is Parallel Programming Hard, And If So, Why?
20096
14 200723
15 20075
16 2004117
17 200282
18
Concurrent Update on Multiprogrammed Shared Memory Multiprocessors
19961
19 1996488
20 19943

About Maged M. Michael

Maged M. Michael is a scholar working on Hardware and Architecture, Computer Networks and Communications, Experimental and Cognitive Psychology, Software and Information Systems, having authored 40 papers that have together received 1.8k indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (36 papers), Parallel Computing and Optimization Techniques (28 papers), Advanced Data Storage Technologies (14 papers), Cognitive Functions and Memory (9 papers), Optimization and Search Problems (7 papers), Interconnection Networks and Systems (4 papers), Cloud Computing and Resource Management (4 papers) and Real-Time Systems Scheduling (4 papers). The work is most often cited by research in Hardware and Architecture (1.4k citations), Computer Networks and Communications (1.7k citations), Experimental and Cognitive Psychology (154 citations), Artificial Intelligence (267 citations) and Information Systems (169 citations). Maged M. Michael has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Michael L. Scott, Michael Spear, Martin Vechev, Christoph von Praun, Vijay Saraswat, Hagit Attiya, Rachid Guerraoui, Danny Hendler, Petr Kuznetsov and Takuya Nakaike. Their work appears in journals such as ACM SIGPLAN Notices, Communications of the ACM, Journal of Parallel and Distributed Computing, Queue and IEEE Transactions on Computers.

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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