Samee U. Khan

558 citations
49 papers · 418 · h-index 13

Impact in

    • Software-Defined Networks and 5G
    • Distributed and Parallel Computing Systems
    • IoT and Edge/Fog Computing
    • Caching and Content Delivery
    • Advanced Data Storage Technologies
    • Cloud Computing and Resource Management

Papers in

Samee U. Khan

48 papers receiving 402 citations

Peers

Samee U. Khan
Comparison fields: 5 of 56
  • Computer Networks and Communications 287
  • Information Systems 179
  • Hardware and Architecture 47
  • Signal Processing 32
  • Computer Vision and Pattern Recognition 60
Replace Hanhua Feng with:
Hanhua Feng United States
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Saumay Pushp South Korea
Yucheng Li China
Markus Happe Switzerland
Loris Marchal France
Amar Kumar Mohapatra India
Mingzhe Li United States
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Samee U. Khan relative to Hanhua Feng United States Hanhua Feng's profile →
Citations per field
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Citations per year

Countries citing papers authored by Samee U. Khan

Since Specialization
Citations

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

Fields of papers citing papers by Samee U. Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samee U. Khan. 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 Samee U. Khan. The network helps show where Samee U. Khan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201232
2 201230
3 201227
4 201926
5 201525
6 201220
7 201618
8 201116
9 201516
10 201815
11 201514
12 201414
13 201114
14 201212
15 200812
16 201911
17 201511
18 201611
19 20159
20 20128

About Samee U. Khan

Samee U. Khan is a scholar working on Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 49 papers that have together received 418 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (15 papers), Software-Defined Networks and 5G (15 papers), Advanced Optical Network Technologies (8 papers), Distributed and Parallel Computing Systems (8 papers), IoT and Edge/Fog Computing (5 papers), Caching and Content Delivery (5 papers), Parallel Computing and Optimization Techniques (5 papers) and Mobile Ad Hoc Networks (4 papers). The work is most often cited by research in Computer Networks and Communications (287 citations), Information Systems (179 citations), Hardware and Architecture (47 citations), Signal Processing (32 citations) and Computer Vision and Pattern Recognition (60 citations). Samee U. Khan has collaborated with scholars based in United States, Pakistan and China. Frequent co-authors include Albert Y. Zomaya, Joanna Kołodziej, Nasir Ghani, Lizhe Wang, Dan Chen, Nasro Min‐Allah, Sajjad A. Madani, Feng Gu, Johnatan E. Pecero and Fan Zhang. Their work appears in journals such as IEEE Communications Letters, Neurocomputing, Computer Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence 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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