Akhlad Iqbal
- Computer Vision and Pattern Recognition top 5%
- Computational Theory and Mathematics top 5%
- Applied Mathematics top 5%
- Artificial Intelligence
- Geometry and Topology top 10%
- Co-authors
- Manish KumarS. AliI. AhmadRavi P. AgarwalAbdelghani LakhdariBadreddine MeftahTayyab NaveedAijaz Ahmed Babar
- Topics
- Optimization and Variational Analysis (18 papers)Advanced Optimization Algorithms Research (7 papers)Mathematical Inequalities and Applications (7 papers)
- Cited by
- Computational Theory and MathematicsComputer Vision and Pattern RecognitionNumerical Analysis
- Journals
- SHILAP Revista de lepidopterologíaSignal ProcessingNonlinear Analysis
- Partner nations
- IndiaSaudi ArabiaAlgeria
In The Last Decade
Akhlad Iqbal
19 papers receiving 282 citations
Peers
Comparison fields: 5 of 42
- Computer Vision and Pattern Recognition 164
- Computational Theory and Mathematics 130
- Applied Mathematics 71
- Artificial Intelligence 60
- Geometry and Topology 46
Countries citing papers authored by Akhlad Iqbal
This map shows the geographic impact of Akhlad 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 Akhlad Iqbal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akhlad Iqbal more than expected).
Fields of papers citing papers by Akhlad Iqbal
This network shows the impact of papers produced by Akhlad 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 Akhlad Iqbal. The network helps show where Akhlad Iqbal may publish in the future.
Co-authorship network of co-authors of Akhlad Iqbal
This figure shows the co-authorship network connecting the top 25 collaborators of Akhlad Iqbal. A scholar is included among the top collaborators of Akhlad 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 Akhlad Iqbal. Akhlad 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 | 2 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 14 | |
| 12 | 2 | |
| 13 | 0 | |
| 14 | 5 | |
| 15 | 7 | |
| 16 | 174 | |
| 17 | 12 | |
| 18 | 21 | |
| 19 | 16 | |
| 20 | 6 |
About Akhlad Iqbal
Akhlad Iqbal is a scholar working on Numerical Analysis, Applied Mathematics and Computational Theory and Mathematics, having authored 24 papers that have together received 300 indexed citations. Recurring topics across this work include Optimization and Variational Analysis (18 papers), Advanced Optimization Algorithms Research (7 papers) and Mathematical Inequalities and Applications (7 papers). The work is most often cited by research in Computational Theory and Mathematics (130 citations), Computer Vision and Pattern Recognition (164 citations) and Numerical Analysis (40 citations). Akhlad Iqbal has collaborated with scholars based in India, Saudi Arabia and Algeria. Frequent co-authors include Manish Kumar, S. Ali, I. Ahmad, Ravi P. Agarwal, Abdelghani Lakhdari, Badreddine Meftah, Ravi P. Agarwal, Tayyab Naveed, Aijaz Ahmed Babar and Muhammad Awais Naeem. Their work appears in journals such as SHILAP Revista de lepidopterología, Signal Processing and Nonlinear Analysis.
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.