Muhammad Iqbal
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 5%
- Oceanography top 10%
- Molecular Biology
- Ocean Engineering top 5%
- Co-authors
- Will N. BrowneJun ZhangMuhammad IrfanJiangbin ZhengUmar Zakir Abdul HamidMengjie ZhangBing XueHarith Al-Sahaf
- Topics
- Evolutionary Algorithms and Applications (28 papers)Metaheuristic Optimization Algorithms Research (25 papers)Viral Infectious Diseases and Gene Expression in Insects (11 papers)
- Partner nations
- New ZealandPakistanUnited Arab Emirates
In The Last Decade
Muhammad Iqbal
47 papers receiving 910 citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Artificial Intelligence 506
- Computer Vision and Pattern Recognition 265
- Oceanography 151
- Molecular Biology 146
- Ocean Engineering 99
Countries citing papers authored by Muhammad Iqbal
This map shows the geographic impact of Muhammad 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 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 Iqbal more than expected).
Fields of papers citing papers by Muhammad Iqbal
This network shows the impact of papers produced by Muhammad 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 Iqbal. The network helps show where Muhammad Iqbal may publish in the future.
Co-authorship network of co-authors of Muhammad Iqbal
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Iqbal. A scholar is included among the top collaborators of Muhammad 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 Iqbal. Muhammad 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 13 | |
| 8 | 1 | |
| 9 | 27 | |
| 10 | DeepShip: An underwater acoustic benchmark dataset and a separable convolution based autoencoder for classificationbreakdown → | 176 |
| 11 | 18 | |
| 12 | 8 | |
| 13 | 7 | |
| 14 | 1 | |
| 15 | 61 | |
| 16 | 33 | |
| 17 | 1 | |
| 18 | Survey of various feature extraction and classification techniques for facial expression recognition | 9 |
| 19 | 1 | |
| 20 | 24 |
About Muhammad Iqbal
Muhammad Iqbal is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Software, having authored 52 papers that have together received 955 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (28 papers), Metaheuristic Optimization Algorithms Research (25 papers) and Viral Infectious Diseases and Gene Expression in Insects (11 papers). The work is most often cited by research in Artificial Intelligence (506 citations), Computer Vision and Pattern Recognition (265 citations) and Oceanography (151 citations). Muhammad Iqbal has collaborated with scholars based in New Zealand, Pakistan and United Arab Emirates. Frequent co-authors include Will N. Browne, Jun Zhang, Muhammad Irfan, Jiangbin Zheng, Umar Zakir Abdul Hamid, Mengjie Zhang, Bing Xue, Harith Al-Sahaf, Jianxin Li and Khawaja Tehseen Ahmed. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Pattern Recognition.
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.