Nadeem Iqbal
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Molecular Biology
- Mathematical Physics top 10%
- Co-authors
- Muhammad HanifMuhammad Adnan KhanSagheer AbbasZia BashirRizwan Ali NaqviM. G. Abbas MalikAreej FatimaTahir Alyas
- Topics
- Chaos-based Image/Signal Encryption (30 papers)Advanced Steganography and Watermarking Techniques (22 papers)Cellular Automata and Applications (10 papers)
- Cited by
- Computer Vision and Pattern RecognitionMathematical PhysicsComputational Theory and Mathematics
- Partner nations
- PakistanSaudi ArabiaEgypt
In The Last Decade
Nadeem Iqbal
31 papers receiving 504 citations
Peers
Comparison fields: 5 of 51
- Computer Vision and Pattern Recognition 443
- Artificial Intelligence 140
- Computational Theory and Mathematics 113
- Molecular Biology 77
- Mathematical Physics 71
Countries citing papers authored by Nadeem Iqbal
This map shows the geographic impact of Nadeem 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 Nadeem Iqbal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadeem Iqbal more than expected).
Fields of papers citing papers by Nadeem Iqbal
This network shows the impact of papers produced by Nadeem 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 Nadeem Iqbal. The network helps show where Nadeem Iqbal may publish in the future.
Co-authorship network of co-authors of Nadeem Iqbal
This figure shows the co-authorship network connecting the top 25 collaborators of Nadeem Iqbal. A scholar is included among the top collaborators of Nadeem 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 Nadeem Iqbal. Nadeem 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 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 0 | |
| 10 | 3 | |
| 11 | 6 | |
| 12 | 11 | |
| 13 | 12 | |
| 14 | 3 | |
| 15 | 26 | |
| 16 | 18 | |
| 17 | 42 | |
| 18 | 60 | |
| 19 | 40 | |
| 20 | 12 |
About Nadeem Iqbal
Nadeem Iqbal is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Mathematical Physics, having authored 33 papers that have together received 528 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (30 papers), Advanced Steganography and Watermarking Techniques (22 papers) and Cellular Automata and Applications (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (443 citations), Mathematical Physics (71 citations) and Computational Theory and Mathematics (113 citations). Nadeem Iqbal has collaborated with scholars based in Pakistan, Saudi Arabia and Egypt. Frequent co-authors include Muhammad Hanif, Muhammad Adnan Khan, Sagheer Abbas, Zia Bashir, Rizwan Ali Naqvi, M. G. Abbas Malik, Areej Fatima, Tahir Alyas, Muhammad Zohaib and Dildar Hussain. Their work appears in journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.
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.