Muhammad Azam

881 citations
31 papers · 583 indexed · 1 hit paper · h-index 9
Topics
Bayesian Methods and Mixture Models (13 papers)Blind Source Separation Techniques (6 papers)Image Retrieval and Classification Techniques (6 papers)
Partner nations
CanadaPakistanBangladesh

In The Last Decade

Muhammad Azam

27 papers receiving 548 citations

Hit Papers

Detection and classification of citrus diseases in agricu...20182026202020232018100200300

Peers

Muhammad Azam
Comparison fields: 5 of 77
  • Plant Science 290
  • Analytical Chemistry 142
  • Building and Construction 96
  • Artificial Intelligence 88
  • Environmental Engineering 60
Replace L V Narasimha Prasad with:
L V Narasimha Prasad India
Xing Xu China
Hadi Saboohi Malaysia
Bayram Çetişli Türkiye
Chuanyang Gong China
Jia-Rong Kang Taiwan
Emine Uçar Türkiye
Zhihang Song United States
Hiroshi Mineno Japan
Muhammad Azam relative to L V Narasimha Prasad India L V Narasimha Prasad's profile →
Citations per field
00.5×5.2×
L V Narasimha Prasad · 1×
Citations per year

Countries citing papers authored by Muhammad Azam

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Azam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Azam

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Azam. A scholar is included among the top collaborators of Muhammad Azam 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 Azam. Muhammad Azam 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 2
2 0
3 2
4 3
5 10
6 0
7 10
8 2
9 6
10 2
11 2
12 7
13 11
14 0
15 3
16 5
17 4
18
Detection and classification of citrus diseases in agriculture based on optimized weighted segmentation and feature selectionbreakdown →
340
19 8
20 1

About Muhammad Azam

Muhammad Azam is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 31 papers that have together received 583 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (13 papers), Blind Source Separation Techniques (6 papers) and Image Retrieval and Classification Techniques (6 papers). The work is most often cited by research in Analytical Chemistry (142 citations), Plant Science (290 citations) and Building and Construction (96 citations). Muhammad Azam has collaborated with scholars based in Canada, Pakistan and Bangladesh. Frequent co-authors include Muhammad Younus Javed, Muhammad Sharif, M. Ikram Ullah Lali, Zahid Iqbal, Muhammad Attique Khan, Nizar Bouguila, Kim Khoa Nguyen, Mohamed Cheriet, Benoit Delcroix and Jérôme Le Ny. Their work appears in journals such as Expert Systems with Applications, Sensors and Automation in Construction.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026