Muhammad Awais

2.9k citations
112 papers · 1.9k indexed · 1 hit paper · h-index 24
Topics
Cooperative Communication and Network Coding (8 papers)AI in cancer detection (8 papers)IoT and Edge/Fog Computing (7 papers)

In The Last Decade

Muhammad Awais

102 papers receiving 1.9k citations

Hit Papers

A novel framework for potato leaf disease detection using...2022202620232024202250100150

Peers

Muhammad Awais
Comparison fields: 5 of 157
  • Electrical and Electronic Engineering 416
  • Computer Vision and Pattern Recognition 323
  • Artificial Intelligence 311
  • Plant Science 306
  • Computer Networks and Communications 278
Replace Vishal Jain with:
Vishal Jain India
Prashant Kumar Shukla India
Khan A. Wahid Canada
Abdul Rahman Ramli Malaysia
Muhammad Younus Javed Pakistan
Rajesh Kumar Dhanaraj India
Shimin Li China
Nizamettin Aydın Türkiye
Khushnood Abbas China
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Muhammad Awais relative to Vishal Jain India Vishal Jain's profile →
Citations per field
00.5×1.5×1.8×
Vishal Jain · 1×
Citations per year

Countries citing papers authored by Muhammad Awais

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Awais

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Awais

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Awais. A scholar is included among the top collaborators of Muhammad Awais 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 Muhammad Awais. Muhammad Awais 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 4
2 9
3 0
4 3
5 3
6 7
7 9
8 32
9 1
10 1
11 1
12 8
13 1
14 52
15 2
16
Impact of Total Quality Management Practices on an Organization Performance
1
17
FPGA accelerator of Quasi cyclic EG-LDPC codes decoder for NAND flash memories
4
18 9
19 12
20 88

About Muhammad Awais

Muhammad Awais is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Health Informatics, having authored 112 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cooperative Communication and Network Coding (8 papers), AI in cancer detection (8 papers) and IoT and Edge/Fog Computing (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (323 citations), Analytical Chemistry (152 citations) and Computer Networks and Communications (278 citations). Muhammad Awais has collaborated with scholars based in Pakistan, Saudi Arabia and China. Frequent co-authors include Tallha Akram, Muhammad Attique Khan, Yoshio Umezawa, Moritoshi Sato, Ashfaq Ahmed, Tanzila Saba, Kashif Javed, Muhammad Naeem, Muhammad Sharif and Hashim Ali. Their work appears in journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Renewable and Sustainable Energy Reviews.

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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