Muhammad Daniyal
- Health Information Management top 5%
- Artificial Intelligence
- Management Science and Operations Research top 10%
- Food Science
- Molecular Biology
- Co-authors
- Kassim TawiahAli HassanRoy Rillera MarzoMoien AB KhanSyed Fahad JavaidM. H. TahirHasnain IftikharKhadijah Abid
- Topics
- Optimal Experimental Design Methods (5 papers)COVID-19 epidemiological studies (4 papers)Forecasting Techniques and Applications (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEInternational Journal of Environmental Research and Public Health
- Partner nations
- PakistanGhanaSaudi Arabia
In The Last Decade
Muhammad Daniyal
36 papers receiving 321 citations
Peers
Comparison fields: 5 of 122
- Health Information Management 54
- Artificial Intelligence 48
- Management Science and Operations Research 48
- Food Science 33
- Molecular Biology 29
Countries citing papers authored by Muhammad Daniyal
This map shows the geographic impact of Muhammad Daniyal'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 Muhammad Daniyal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Daniyal more than expected).
Fields of papers citing papers by Muhammad Daniyal
This network shows the impact of papers produced by Muhammad Daniyal. 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 Muhammad Daniyal. The network helps show where Muhammad Daniyal may publish in the future.
Co-authorship network of co-authors of Muhammad Daniyal
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Daniyal. A scholar is included among the top collaborators of Muhammad Daniyal 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 Muhammad Daniyal. Muhammad Daniyal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 48 | |
| 9 | 1 | |
| 10 | 12 | |
| 11 | 19 | |
| 12 | 7 | |
| 13 | 2 | |
| 14 | 7 | |
| 15 | 16 | |
| 16 | 5 | |
| 17 | 0 | |
| 18 | An overview on method of cyclic shifts for the construction of experimental designs useful in business and commerce | 3 |
| 19 | On some Classical Properties of the Mixture of Burr XII and Lomax Distributions | 2 |
| 20 | Cartoon Network and Its Impact on Behavior of School Going Children: A Case Study of Bahawalpur, Pakistan | 8 |
About Muhammad Daniyal
Muhammad Daniyal is a scholar working on Management Science and Operations Research, Modeling and Simulation and Leadership and Management, having authored 45 papers that have together received 333 indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (5 papers), COVID-19 epidemiological studies (4 papers) and Forecasting Techniques and Applications (4 papers). The work is most often cited by research in Health Informatics (16 citations), Health Information Management (54 citations) and Virology (25 citations). Muhammad Daniyal has collaborated with scholars based in Pakistan, Ghana and Saudi Arabia. Frequent co-authors include Kassim Tawiah, Ali Hassan, Roy Rillera Marzo, Moien AB Khan, Syed Fahad Javaid, M. H. Tahir, Hasnain Iftikhar, Khadijah Abid, Muhammad Sohail and Naveed Akhtar. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Environmental Research and Public Health.
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.