Farrukh Arslan

511 citations
23 papers · 245 · h-index 8

Impact in

Papers in

Farrukh Arslan

19 papers receiving 226 citations

Peers

Farrukh Arslan
Comparison fields: 5 of 67
  • Computer Networks and Communications 85
  • Information Systems 72
  • Media Technology 23
  • Artificial Intelligence 73
  • Computer Vision and Pattern Recognition 46
Replace S. John Justin Thangaraj with:
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Citations per field
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Citations per year

Countries citing papers authored by Farrukh Arslan

Since Specialization
Citations

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

Fields of papers citing papers by Farrukh Arslan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202164
2 202135
3 202231
4 202226
5 202118
6 202115
7 20239
8 20217
9 20236
10 20196
11 20216
12
Impact of Empowering Leadership on Organizational Performance
20204
13 20124
14 20243
15 20203
16 20243
17 20192
18 20182
19
Node Replacement Based Energy Optimization Using Enhanced SALP Swarm Algorithm (ES2A) in Wireless Sensor Networks
20211
20 20250

About Farrukh Arslan

Farrukh Arslan is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems, Artificial Intelligence and Molecular Biology, having authored 23 papers that have together received 245 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (3 papers), IoT and Edge/Fog Computing (3 papers), Network Security and Intrusion Detection (3 papers), Advanced Steganography and Watermarking Techniques (2 papers), Chaos-based Image/Signal Encryption (2 papers), Digital Media Forensic Detection (2 papers), Advanced Adaptive Filtering Techniques (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Computer Networks and Communications (85 citations), Information Systems (72 citations), Media Technology (23 citations), Artificial Intelligence (73 citations) and Computer Vision and Pattern Recognition (46 citations). Farrukh Arslan has collaborated with scholars based in Pakistan, Saudi Arabia and United States. Frequent co-authors include Mohammad Shabaz, Abolfazl Mehbodniya, Aditya Khamparia, Kantilal Pitambar Rane, Sagar Dhanraj Pande, Bhupesh Kumar Singh, Dilip Kumar Sharma, Sumaya Sanober, Sudhakar Sengan and Jehad Ali. Their work appears in journals such as IEEE Access, Applied Sciences, Wireless Personal Communications, Soft Computing and Computers & Electrical Engineering.

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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