Madad Khan
- Management Science and Operations Research top 0.2%
- Control and Systems Engineering top 2%
- Computational Theory and Mathematics top 1%
- Statistics and Probability top 1%
- Artificial Intelligence top 5%
- Co-authors
- Saleem AbdullahFazli AminAsad AliAliya FahmiFawad HussainMuhammad GulistanK. RahmanM. Shahbaz Ullah
- Topics
- Fuzzy and Soft Set Theory (57 papers)Multi-Criteria Decision Making (56 papers)Advanced Algebra and Logic (40 papers)
- Cited by
- Management Science and Operations ResearchStatistics and ProbabilityComputational Theory and Mathematics
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- PakistanChinaSaudi Arabia
In The Last Decade
Madad Khan
94 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 87
- Management Science and Operations Research 1.3k
- Control and Systems Engineering 627
- Computational Theory and Mathematics 532
- Statistics and Probability 431
- Artificial Intelligence 278
Countries citing papers authored by Madad Khan
This map shows the geographic impact of Madad 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 Madad Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Madad Khan more than expected).
Fields of papers citing papers by Madad Khan
This network shows the impact of papers produced by Madad 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 Madad Khan. The network helps show where Madad Khan may publish in the future.
Co-authorship network of co-authors of Madad Khan
This figure shows the co-authorship network connecting the top 25 collaborators of Madad Khan. A scholar is included among the top collaborators of Madad 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 Madad Khan. Madad 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 | 2 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 90 | |
| 9 | 16 | |
| 10 | Roughness in Non-Associative Po-Semihypergroups Based on Pseudohyperorder Relations. | 5 |
| 11 | 1 | |
| 12 | Neutrosophic N -structures and their applications in semigroups | 6 |
| 13 | 33 | |
| 14 | On (m,n)-ideals of Left Almost Semigroups | 1 |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 15 | |
| 18 | 2 | |
| 19 | 0 | |
| 20 | INTUITIONISTIC FUZZY IDEALS IN ORDERED SEMIGROUPS | 1 |
About Madad Khan
Madad Khan is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Statistics and Probability, having authored 110 papers that have together received 1.5k indexed citations. Recurring topics across this work include Fuzzy and Soft Set Theory (57 papers), Multi-Criteria Decision Making (56 papers) and Advanced Algebra and Logic (40 papers). The work is most often cited by research in Management Science and Operations Research (1.3k citations), Statistics and Probability (431 citations) and Computational Theory and Mathematics (532 citations). Madad Khan has collaborated with scholars based in Pakistan, China and Saudi Arabia. Frequent co-authors include Saleem Abdullah, Fazli Amin, Asad Ali, Aliya Fahmi, Fawad Hussain, Muhammad Gulistan, K. Rahman, M. Shahbaz Ullah, Young Bae Jun and Naveed Yaqoob. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.