Farman Ullah

92 papers receiving 1.2k citations

Peers

Farman Ullah
Comparison fields: 5 of 147
  • Modeling and Simulation 44
  • Computer Networks and Communications 189
  • Computer Vision and Pattern Recognition 160
  • Biochemistry 39
  • Electrical and Electronic Engineering 383
Replace Chia‐Hung Lin with:
Chia‐Hung Lin Taiwan
Mohamed Hammami Tunisia
Lixiang Li China
Waleed Alasmary Saudi Arabia
Danilo Pelusi Italy
Jingwen Wang China
Muhammad Saeed Pakistan
Jaeho Kim South Korea
Eisa Alanazi Saudi Arabia
Xiaomin Li China
Farman Ullah relative to Chia‐Hung Lin Taiwan Chia‐Hung Lin's profile →
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Citations per year

Countries citing papers authored by Farman Ullah

Since Specialization
Citations

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

Fields of papers citing papers by Farman Ullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202083
2 201870
3 201053
4 202249
5 200449
6 201948
7 202248
8 202041
9 200739
10 200339
11 202134
12 201832
13 200528
14 202127
15 202127
16 201225
17 202325
18 202124
19 201723
20 202222

About Farman Ullah

Farman Ullah is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems, having authored 107 papers that have together received 1.3k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (9 papers), Vehicular Ad Hoc Networks (VANETs) (8 papers), IoT and Edge/Fog Computing (8 papers), Optimal Power Flow Distribution (8 papers), Opportunistic and Delay-Tolerant Networks (7 papers), COVID-19 diagnosis using AI (7 papers), Mobile Ad Hoc Networks (6 papers) and Recommender Systems and Techniques (6 papers). The work is most often cited by research in Modeling and Simulation (44 citations), Computer Networks and Communications (189 citations), Computer Vision and Pattern Recognition (160 citations), Biochemistry (39 citations) and Electrical and Electronic Engineering (383 citations). Farman Ullah has collaborated with scholars based in Pakistan, South Korea and United Arab Emirates. Frequent co-authors include Sungchang Lee, Yasir Muhammad, Muhammad Asif Zahoor Raja, Naveed Ishtiaq Chaudhary, Viqar Uddin Ahmad, Javid Hussain, Yigang He, Hafeez Anwar, M. Iqbal Choudhary and Kyung Sup Kwak. Their work appears in journals such as Sensors, IEEE Access, Electronics, Chaos Solitons & Fractals and Chemical and Pharmaceutical Bulletin.

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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