Muhammad Ahsan Raza

1.1k citations
45 papers · 573 indexed · 1 hit paper · h-index 13
Topics
Semantic Web and Ontologies (9 papers)Energy Efficient Wireless Sensor Networks (6 papers)IoT and Edge/Fog Computing (5 papers)

In The Last Decade

Muhammad Ahsan Raza

38 papers receiving 537 citations

Hit Papers

An Efficient Deep Learning-Based Skin Cancer Classifier f...20222026202320242022255075100

Peers

Muhammad Ahsan Raza
Comparison fields: 5 of 96
  • Artificial Intelligence 272
  • Computer Networks and Communications 195
  • Information Systems 102
  • Signal Processing 98
  • Oncology 88
Replace Hamed Tabrizchi with:
Hamed Tabrizchi Iran
Brijesh Kumar Chaurasia India
Mohammad Alshraideh Jordan
Allah Ditta Pakistan
Wael Said Egypt
Muhammad Rukunuddin Ghalib India
Nisreen Innab Saudi Arabia
Mohammed Alkhathami Saudi Arabia
A. Harshavardhan India
Micheal Olaolu Arowolo Nigeria
Muhammad Ahsan Raza relative to Hamed Tabrizchi Iran Hamed Tabrizchi's profile →
Citations per field
00.5×1.5×2.0×
Hamed Tabrizchi · 1×
Citations per year

Countries citing papers authored by Muhammad Ahsan Raza

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Ahsan Raza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Ahsan Raza

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Ahsan Raza. A scholar is included among the top collaborators of Muhammad Ahsan Raza 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 Ahsan Raza. Muhammad Ahsan Raza 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 0
2 2
3 0
4 2
5 0
6 4
7 4
8 4
9 0
10 44
11 1
12 23
13 1
14
An Efficient Deep Learning-Based Skin Cancer Classifier for an Imbalanced Datasetbreakdown →
119
15 4
16 26
17 7
18 1
19 14
20 12

About Muhammad Ahsan Raza

Muhammad Ahsan Raza is a scholar working on Health Information Management, Information Systems and Computer Networks and Communications, having authored 45 papers that have together received 573 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (9 papers), Energy Efficient Wireless Sensor Networks (6 papers) and IoT and Edge/Fog Computing (5 papers). The work is most often cited by research in Signal Processing (98 citations), Health Information Management (40 citations) and Computer Networks and Communications (195 citations). Muhammad Ahsan Raza has collaborated with scholars based in Pakistan, Malaysia and Saudi Arabia. Frequent co-authors include Ihsan Ali, A. Noraziah, Ibrahim A. Hameed, Wasim Ahmad Khan, Suhuai Luo, Talha Mahboob Alam, Kamran Shaukat, Abdullah Gani, Ahmad Almogren and Abdelmuttlib Ibrahim Abdalla Ahmed. Their work appears in journals such as Scientific Reports, IEEE Access and Journal of Lightwave Technology.

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