Khaled Day

1.6k citations
90 papers · 1.2k · h-index 16

Impact in

Papers in

Khaled Day

88 papers receiving 1.1k citations

Peers

Khaled Day
Comparison fields: 5 of 76
  • Computer Networks and Communications 988
  • Hardware and Architecture 182
  • Computational Theory and Mathematics 349
  • Geometry and Topology 94
  • Electrical and Electronic Engineering 521
Replace Shiying Wang with:
Shiying Wang China
Rong‐Xia Hao China
Jun‐Ming Xu China
Chien-Ping Chang Taiwan
Mostafa Abd‐El‐Barr Saudi Arabia
László Lipták United States
Balakrishnan Krishnamurthy United States
Bella Bose United States
Robert Cypher United States
Duncan H. Lawrie United States
Khaled Day relative to Shiying Wang China Shiying Wang's profile →
Citations per field
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Shiying Wang · 1×
Citations per year

Countries citing papers authored by Khaled Day

Since Specialization
Citations

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

Fields of papers citing papers by Khaled Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Khaled Day, 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 Khaled Day Line = papers co-authored together Khaled Day links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994166
2 1992147
3 1997119
4 199375
5 199771
6 200268
7 197531
8 199327
9 200025
10 200420
11 201119
12 199319
13 199817
14 197516
15 200416
16 197516
17 202015
18 200114
19 200214
20 201912

About Khaled Day

Khaled Day is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Hardware and Architecture, Ocean Engineering and Computational Theory and Mathematics, having authored 90 papers that have together received 1.2k indexed citations. Recurring topics across this work include Interconnection Networks and Systems (44 papers), Energy Efficient Wireless Sensor Networks (19 papers), Advanced Optical Network Technologies (15 papers), Parallel Computing and Optimization Techniques (14 papers), Underwater Vehicles and Communication Systems (11 papers), Mobile Ad Hoc Networks (10 papers), IoT and Edge/Fog Computing (10 papers) and Software-Defined Networks and 5G (10 papers). The work is most often cited by research in Computer Networks and Communications (988 citations), Hardware and Architecture (182 citations), Computational Theory and Mathematics (349 citations), Geometry and Topology (94 citations) and Electrical and Electronic Engineering (521 citations). Khaled Day has collaborated with scholars based in Oman, Jordan and United States. Frequent co-authors include Abdel‐Elah Al‐Ayyoub, Anand Tripathi, Anand Tripathi, Abderezak Touzene, Nasser Alzeidi, M. Ould‐Khaoua, Burkhard Monien, Sultan Al-Yahyai, Saad Harous and Adel Ben Mnaouer. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Journal of Systems Architecture, Journal of Parallel and Distributed Computing, Transactions of the American Mathematical Society and Parallel Computing.

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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