Muhammad Munwar Iqbal
- Computer Networks and Communications top 2%
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Co-authors
- Shehzad KhalidYasir SaleemJihun HanKijun HanSheraz NaseerMuhammad Khawar BashirAbid AliSohail Jabbar
- Topics
- Advanced Steganography and Watermarking Techniques (8 papers)Cloud Computing and Resource Management (8 papers)IoT and Edge/Fog Computing (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEIEEE Access
- Partner nations
- PakistanSaudi ArabiaSouth Korea
In The Last Decade
Muhammad Munwar Iqbal
61 papers receiving 959 citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Computer Networks and Communications 492
- Artificial Intelligence 445
- Information Systems 191
- Computer Vision and Pattern Recognition 181
- Electrical and Electronic Engineering 180
Countries citing papers authored by Muhammad Munwar Iqbal
This map shows the geographic impact of Muhammad Munwar Iqbal'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 Munwar Iqbal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Munwar Iqbal more than expected).
Fields of papers citing papers by Muhammad Munwar Iqbal
This network shows the impact of papers produced by Muhammad Munwar Iqbal. 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 Munwar Iqbal. The network helps show where Muhammad Munwar Iqbal may publish in the future.
Co-authorship network of co-authors of Muhammad Munwar Iqbal
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Munwar Iqbal. A scholar is included among the top collaborators of Muhammad Munwar Iqbal 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 Munwar Iqbal. Muhammad Munwar Iqbal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 11 | |
| 6 | 21 | |
| 7 | 24 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 18 | |
| 11 | 1 | |
| 12 | 0 | |
| 13 | 3 | |
| 14 | 11 | |
| 15 | 4 | |
| 16 | 6 | |
| 17 | 4 | |
| 18 | An Enhanced Framework for Extrinsic Plagiarism Avoidance for Research Article | 7 |
| 19 | 2 | |
| 20 | Fault diagnosis of nonlinear systems using higher order sliding mode technique | 3 |
About Muhammad Munwar Iqbal
Muhammad Munwar Iqbal is a scholar working on Computer Networks and Communications, Computer Science Applications and Computer Vision and Pattern Recognition, having authored 67 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (8 papers), Cloud Computing and Resource Management (8 papers) and IoT and Edge/Fog Computing (7 papers). The work is most often cited by research in Computer Networks and Communications (492 citations), Signal Processing (160 citations) and Artificial Intelligence (445 citations). Muhammad Munwar Iqbal has collaborated with scholars based in Pakistan, Saudi Arabia and South Korea. Frequent co-authors include Shehzad Khalid, Yasir Saleem, Jihun Han, Kijun Han, Sheraz Naseer, Muhammad Khawar Bashir, Abid Ali, Sohail Jabbar, Saqib Saeed and Hamza Aldabbas. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.
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.