Imran Ali Khan

1.3k citations
51 papers · 789 indexed · h-index 14
Topics
Mobile Ad Hoc Networks (12 papers)Energy Efficient Wireless Sensor Networks (10 papers)Caching and Content Delivery (9 papers)
Partner nations
PakistanChinaMalaysia

In The Last Decade

Imran Ali Khan

47 papers receiving 728 citations

Peers

Imran Ali Khan
Comparison fields: 5 of 75
  • Computer Networks and Communications 406
  • Electrical and Electronic Engineering 200
  • Information Systems 194
  • Artificial Intelligence 187
  • Computer Vision and Pattern Recognition 126
Replace Sajjad Dadkhah with:
Sajjad Dadkhah Canada
Vineet Kansal India
Manoranjan Mohanty Australia
Tin‐Yu Wu Taiwan
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Ronghua Xu United States
Abdelzahir Abdelmaboud Saudi Arabia
Abdulatif Alabdulatif Saudi Arabia
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Imran Ali Khan relative to Sajjad Dadkhah Canada Sajjad Dadkhah's profile →
Citations per field
00.5×3.6×
Sajjad Dadkhah · 1×
Citations per year

Countries citing papers authored by Imran Ali Khan

Since Specialization
Citations

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

Fields of papers citing papers by Imran Ali Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Imran Ali Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Imran Ali Khan. A scholar is included among the top collaborators of Imran Ali Khan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Imran Ali Khan. Imran Ali Khan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 5
4 25
5 6
6 12
7 13
8 41
9 10
10 113
11 8
12
Routing protocols for mobile sensor networks: a comparative study
6
13 39
14 1
15 89
16
A Scalable and Minimized Butterfly Fat Tree (SMBFT) Switching Network for On-Chip Communication
2
17
Efficient Overlay Multicast Routing for Hybrid Networks
4
18
Location Based Dynamic Probabilistic Broadcasting for MANETs
3
19
Open Repositories 2.0: Harvesting Community Annotations to Enhance Discovery services
0
20 2

About Imran Ali Khan

Imran Ali Khan is a scholar working on Computer Networks and Communications, Information Systems and Transportation, having authored 51 papers that have together received 789 indexed citations. Recurring topics across this work include Mobile Ad Hoc Networks (12 papers), Energy Efficient Wireless Sensor Networks (10 papers) and Caching and Content Delivery (9 papers). The work is most often cited by research in Computer Networks and Communications (406 citations), Information Systems (194 citations) and Computer Vision and Pattern Recognition (126 citations). Imran Ali Khan has collaborated with scholars based in Pakistan, China and Malaysia. Frequent co-authors include Shakeel Ahmad, Muhammad Zubair Asghar, Irfan Ullah Khan, Babar Nazir, Osman Khalid, Rao Naveed Bin Rais, Na Li, Jian Ma, Canfeng Chen and Limin Sun. Their work appears in journals such as PLoS ONE, Scientific Reports and IEEE Access.

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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