Talha Ali Khan
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Mechanics of Materials
- Co-authors
- Sai Ho LingAli Zeeshan IjazRaja Hashim AliNisar AliAnanda Sanagavarapu MohanDong YangZain Ul AbideenUsama Arshad
- Topics
- Metaheuristic Optimization Algorithms Research (13 papers)Advanced Multi-Objective Optimization Algorithms (7 papers)Evolutionary Algorithms and Applications (5 papers)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionElectrical and Electronic Engineering
- Journals
- SHILAP Revista de lepidopterologíaKnowledge-Based SystemsEngineering Applications of Artificial Intelligence
In The Last Decade
Talha Ali Khan
30 papers receiving 357 citations
Peers
Comparison fields: 5 of 88
- Artificial Intelligence 124
- Electrical and Electronic Engineering 115
- Biomedical Engineering 52
- Computer Vision and Pattern Recognition 49
- Mechanics of Materials 42
Countries citing papers authored by Talha Ali Khan
This map shows the geographic impact of Talha Ali Khan'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 Talha Ali Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Talha Ali Khan more than expected).
Fields of papers citing papers by Talha Ali Khan
This network shows the impact of papers produced by Talha Ali Khan. 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 Talha Ali Khan. The network helps show where Talha Ali Khan may publish in the future.
Co-authorship network of co-authors of Talha Ali Khan
This figure shows the co-authorship network connecting the top 25 collaborators of Talha Ali Khan. A scholar is included among the top collaborators of Talha Ali Khan 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 Talha Ali Khan. Talha Ali Khan 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 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 7 | |
| 8 | 4 | |
| 9 | 9 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 0 | |
| 13 | 13 | |
| 14 | 14 | |
| 15 | 9 | |
| 16 | 2 | |
| 17 | 5 | |
| 18 | 4 | |
| 19 | 4 | |
| 20 | 0 |
About Talha Ali Khan
Talha Ali Khan is a scholar working on Artificial Intelligence, Health Informatics and Computational Theory and Mathematics, having authored 40 papers that have together received 366 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (13 papers), Advanced Multi-Objective Optimization Algorithms (7 papers) and Evolutionary Algorithms and Applications (5 papers). The work is most often cited by research in Artificial Intelligence (124 citations), Computer Vision and Pattern Recognition (49 citations) and Electrical and Electronic Engineering (115 citations). Talha Ali Khan has collaborated with scholars based in Germany, Pakistan and Australia. Frequent co-authors include Sai Ho Ling, Ali Zeeshan Ijaz, Raja Hashim Ali, Nisar Ali, Ananda Sanagavarapu Mohan, Dong Yang, Zain Ul Abideen, Usama Arshad, Muhammad Imad and Abu Bakar Siddique. Their work appears in journals such as SHILAP Revista de lepidopterología, Knowledge-Based Systems and Engineering Applications of Artificial Intelligence.
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.