Amro Awad

1.3k citations
74 papers · 863 indexed · h-index 14

Impact in

Papers in

Amro Awad

66 papers receiving 849 citations

Peers

Amro Awad
Comparison fields: 5 of 45
  • Hardware and Architecture 442
  • Computer Networks and Communications 533
  • Signal Processing 153
  • Artificial Intelligence 332
  • Information Systems 173
Replace Werner Dietl with:
Werner Dietl United States
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Sudarshan Srinivasan United States
Jason Oberg United States
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Christian Jacobi United States
Marcus Völp Germany
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Amro Awad relative to Werner Dietl United States Werner Dietl's profile →
Citations per field
00.5×8.3×
Werner Dietl · 1×
Citations per year

Countries citing papers authored by Amro Awad

Since Specialization
Citations

This map shows the geographic impact of Amro Awad'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 Amro Awad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amro Awad more than expected).

Fields of papers citing papers by Amro Awad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amro Awad. 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 Amro Awad. The network helps show where Amro Awad may publish in the future.

Co-authors

The 25 scholars most cited alongside Amro Awad, 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 Amro Awad Line = papers co-authored together Amro Awad links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20240
3 20233
4 20231
5 20234
6 20230
7 20233
8 20230
9 202210
10 20221
11 20201
12 20203
13 20204
14 201974
15 201911
16 2019115
17 201911
18 20194
19 20178
20 201518

About Amro Awad

Amro Awad is a scholar working on Hardware and Architecture, Computer Networks and Communications, Artificial Intelligence, Signal Processing and Electrical and Electronic Engineering, having authored 74 papers that have together received 863 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (43 papers), Advanced Data Storage Technologies (40 papers), Security and Verification in Computing (31 papers), Advanced Memory and Neural Computing (24 papers), Distributed systems and fault tolerance (8 papers), Physical Unclonable Functions (PUFs) and Hardware Security (7 papers), Advanced Malware Detection Techniques (7 papers) and Interconnection Networks and Systems (6 papers). The work is most often cited by research in Hardware and Architecture (442 citations), Computer Networks and Communications (533 citations), Signal Processing (153 citations), Artificial Intelligence (332 citations) and Information Systems (173 citations). Amro Awad has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Yan Solihin, Mao Ye, Aziz Mohaisen, Deliang Fan, Shaahin Angizi, Zhezhi He, William Horne, Zhishan Guo, Deborah Shands and Stuart Haber. Their work appears in journals such as IEEE Transactions on Dependable and Secure Computing, ACM Transactions on Embedded Computing Systems, IEEE Computer Architecture Letters, IEEE Transactions on Computers and IEEE Micro.

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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