Dost Muhammad Khan
- Statistics and Probability top 2%
- Artificial Intelligence top 10%
- Molecular Biology
- Management Science and Operations Research top 5%
- Statistics, Probability and Uncertainty top 2%
- Co-authors
- Zardad KhanUmair KhalilHuda M. AlshanbariSajjad Ahmad KhanNadeem IqbalMukhtaj KhanSalman KhanAmjad Ali
- Topics
- Advanced Statistical Methods and Models (18 papers)Statistical Distribution Estimation and Applications (15 papers)Advanced Statistical Process Monitoring (10 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
- Partner nations
- PakistanSaudi ArabiaUnited Arab Emirates
In The Last Decade
Dost Muhammad Khan
68 papers receiving 858 citations
Peers
Comparison fields: 5 of 148
- Statistics and Probability 172
- Artificial Intelligence 151
- Molecular Biology 127
- Management Science and Operations Research 117
- Statistics, Probability and Uncertainty 90
Countries citing papers authored by Dost Muhammad Khan
This map shows the geographic impact of Dost Muhammad 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 Dost Muhammad Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dost Muhammad Khan more than expected).
Fields of papers citing papers by Dost Muhammad Khan
This network shows the impact of papers produced by Dost Muhammad 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 Dost Muhammad Khan. The network helps show where Dost Muhammad Khan may publish in the future.
Co-authorship network of co-authors of Dost Muhammad Khan
This figure shows the co-authorship network connecting the top 25 collaborators of Dost Muhammad Khan. A scholar is included among the top collaborators of Dost Muhammad 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 Dost Muhammad Khan. Dost Muhammad 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 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 15 | |
| 10 | 2 | |
| 11 | 8 | |
| 12 | 2 | |
| 13 | 13 | |
| 14 | 9 | |
| 15 | 12 | |
| 16 | 7 | |
| 17 | 9 | |
| 18 | 31 | |
| 19 | 37 | |
| 20 | Identification of Mango Leaves by Using Artificial Intelligence | 6 |
About Dost Muhammad Khan
Dost Muhammad Khan is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Modeling and Simulation, having authored 76 papers that have together received 902 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (18 papers), Statistical Distribution Estimation and Applications (15 papers) and Advanced Statistical Process Monitoring (10 papers). The work is most often cited by research in Statistics and Probability (172 citations), Statistics, Probability and Uncertainty (90 citations) and Management Science and Operations Research (117 citations). Dost Muhammad Khan has collaborated with scholars based in Pakistan, Saudi Arabia and United Arab Emirates. Frequent co-authors include Zardad Khan, Umair Khalil, Huda M. Alshanbari, Sajjad Ahmad Khan, Nadeem Iqbal, Mukhtaj Khan, Salman Khan, Amjad Ali, Abdul Wahid and Abd Al-Aziz Hosni El-Bagoury. 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.