Muhammad Fayaz

934 citations
38 papers · 515 indexed · h-index 15
Topics
Brain Tumor Detection and Classification (5 papers)IoT and Edge/Fog Computing (4 papers)Cloud Computing and Resource Management (4 papers)

In The Last Decade

Muhammad Fayaz

37 papers receiving 487 citations

Peers

Muhammad Fayaz
Comparison fields: 5 of 97
  • Computer Networks and Communications 113
  • Artificial Intelligence 108
  • Electrical and Electronic Engineering 94
  • Cognitive Neuroscience 93
  • Information Systems 75
Replace Muhammad Shuaib Qureshi with:
Muhammad Shuaib Qureshi Kyrgyzstan
Mohamed K. Nour Saudi Arabia
Muhammad Asif Pakistan
Chee‐Onn Chow Malaysia
A. Ambikapathy India
Nitin Kumar Saxena India
Shakila Basheer Saudi Arabia
Sugondo Hadiyoso Indonesia
Adil O. Khadidos Saudi Arabia
Javier Sedano Spain
Muhammad Fayaz relative to Muhammad Shuaib Qureshi Kyrgyzstan Muhammad Shuaib Qureshi's profile →
Citations per field
00.5×1.6×
Muhammad Shuaib Qureshi · 1×
Citations per year

Countries citing papers authored by Muhammad Fayaz

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Fayaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Fayaz

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Fayaz. A scholar is included among the top collaborators of Muhammad Fayaz 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 Fayaz. Muhammad Fayaz 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 5
3 6
4 4
5 15
6 10
7 21
8 20
9 32
10 3
11 22
12 15
13 5
14 14
15 17
16 11
17 3
18 13
19 21
20 1

About Muhammad Fayaz

Muhammad Fayaz is a scholar working on Neurology, Software and Computer Networks and Communications, having authored 38 papers that have together received 515 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (5 papers), IoT and Edge/Fog Computing (4 papers) and Cloud Computing and Resource Management (4 papers). The work is most often cited by research in Neurology (49 citations), Medical Laboratory Technology (8 citations) and Computer Networks and Communications (113 citations). Muhammad Fayaz has collaborated with scholars based in Kyrgyzstan, Pakistan and South Korea. Frequent co-authors include Muhammad Shuaib Qureshi, Muhammad Bilal Qureshi, Ayman Aljarbouh, Muhammad Afzaal, Younes Boujoudar, Gulzar Mehmood, Jeonghwan Gwak, Abdul Salam Shah, Mohamed Azeroual and Hassane El Markhi. Their work appears in journals such as IEEE Access, Sensors and Energies.

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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