Zardad Khan
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Molecular Biology
- Statistics and Probability top 5%
- Management Science and Operations Research top 10%
- Co-authors
- Dost Muhammad KhanBerthold LausenAris PerperoglouOsama MahmoudWerner AdlerAsma GulAmjad AliMiftahuddin Miftahuddin
- Topics
- Face and Expression Recognition (12 papers)Gene expression and cancer classification (11 papers)Machine Learning and Data Classification (7 papers)
- Partner nations
- PakistanUnited Arab EmiratesUnited Kingdom
In The Last Decade
Zardad Khan
33 papers receiving 503 citations
Peers
Comparison fields: 5 of 115
- Artificial Intelligence 183
- Computer Vision and Pattern Recognition 102
- Molecular Biology 85
- Statistics and Probability 66
- Management Science and Operations Research 43
Countries citing papers authored by Zardad Khan
This map shows the geographic impact of Zardad 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 Zardad Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zardad Khan more than expected).
Fields of papers citing papers by Zardad Khan
This network shows the impact of papers produced by Zardad 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 Zardad Khan. The network helps show where Zardad Khan may publish in the future.
Co-authorship network of co-authors of Zardad Khan
This figure shows the co-authorship network connecting the top 25 collaborators of Zardad Khan. A scholar is included among the top collaborators of Zardad 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 Zardad Khan. Zardad 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 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 3 | |
| 7 | 9 | |
| 8 | 15 | |
| 9 | 11 | |
| 10 | 9 | |
| 11 | 12 | |
| 12 | 5 | |
| 13 | 28 | |
| 14 | 23 | |
| 15 | 7 | |
| 16 | 77 | |
| 17 | 2 | |
| 18 | An Ensemble of Optimal Trees for Classification and Regression (OTE) | 1 |
| 19 | 32 | |
| 20 | On the ratio method of estimation via auxiliary attributes in simple and stratified random sampling | 1 |
About Zardad Khan
Zardad Khan is a scholar working on Statistics and Probability, Artificial Intelligence and Modeling and Simulation, having authored 39 papers that have together received 525 indexed citations. Recurring topics across this work include Face and Expression Recognition (12 papers), Gene expression and cancer classification (11 papers) and Machine Learning and Data Classification (7 papers). The work is most often cited by research in Statistics and Probability (66 citations), Modeling and Simulation (30 citations) and Health Information Management (28 citations). Zardad Khan has collaborated with scholars based in Pakistan, United Arab Emirates and United Kingdom. Frequent co-authors include Dost Muhammad Khan, Berthold Lausen, Aris Perperoglou, Osama Mahmoud, Werner Adler, Asma Gul, Amjad Ali, Miftahuddin Miftahuddin, Umair Khalil and Muhammad Aamir. 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.