Mokhtar Hafayed
Impact in
- Finance top 5%
- Stochastic processes and financial applications
- Modeling and Simulation top 5%
- Fractional Differential Equations Solutions
- Mathematical Biology Tumor Growth
Papers in
- Finance 28
- Stochastic processes and financial applications 28
- Financial Risk and Volatility Modeling 3
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- Risk and Portfolio Optimization 12
- Probability and Risk Models 4
- Co-authors
- Syed Abbas (13 shared papers)Swati Tyagi (1 shared paper)Adel M. Alimi (1 shared paper)Yan Shi (2 shared papers)Angelo Favini (1 shared paper)P. Muthukumar (2 shared papers)H. M. Srivastava (1 shared paper)
In The Last Decade
Mokhtar Hafayed
30 papers receiving 364 citations
Peers
Comparison fields: 5 of 38
- Finance 242
- Modeling and Simulation 89
- Management Science and Operations Research 127
- Demography 118
- Applied Mathematics 66
Countries citing papers authored by Mokhtar Hafayed
This map shows the geographic impact of Mokhtar Hafayed'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 Mokhtar Hafayed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mokhtar Hafayed more than expected).
Fields of papers citing papers by Mokhtar Hafayed
This network shows the impact of papers produced by Mokhtar Hafayed. 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 Mokhtar Hafayed. The network helps show where Mokhtar Hafayed may publish in the future.
Co-authors
The 7 scholars most cited alongside Mokhtar Hafayed, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 33 | |
| 2 | 2013 | 30 | |
| 3 | 2014 | 30 | |
| 4 | 2013 | 28 | |
| 5 | 2013 | 25 | |
| 6 | 2015 | 22 | |
| 7 | 2014 | 20 | |
| 8 | 2013 | 17 | |
| 9 | 2012 | 16 | |
| 10 | 2014 | 15 | |
| 11 | 2019 | 13 | |
| 12 | 2015 | 13 | |
| 13 | 2018 | 11 | |
| 14 | 2013 | 11 | |
| 15 | 2014 | 11 | |
| 16 | 2015 | 10 | |
| 17 | 2015 | 10 | |
| 18 | 2019 | 9 | |
| 19 | 2016 | 9 | |
| 20 | 2020 | 8 |
About Mokhtar Hafayed
Mokhtar Hafayed is a scholar working on Finance, Management Science and Operations Research, Demography, Applied Mathematics and Modeling and Simulation, having authored 33 papers that have together received 378 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (28 papers), Insurance, Mortality, Demography, Risk Management (14 papers), Risk and Portfolio Optimization (12 papers), Probability and Risk Models (4 papers), Mathematical Biology Tumor Growth (3 papers), Markov Chains and Monte Carlo Methods (3 papers), Financial Risk and Volatility Modeling (3 papers) and Advanced Mathematical Modeling in Engineering (2 papers). The work is most often cited by research in Finance (242 citations), Modeling and Simulation (89 citations), Management Science and Operations Research (127 citations), Demography (118 citations) and Applied Mathematics (66 citations). Mokhtar Hafayed has collaborated with scholars based in Algeria, India and Türkiye. Frequent co-authors include Syed Abbas, Swati Tyagi, Adel M. Alimi, Yan Shi, Angelo Favini, P. Muthukumar and H. M. Srivastava. Their work appears in journals such as Optimal Control Applications and Methods, Neurocomputing, International Journal of Control, Mathematical Methods in the Applied Sciences and Journal of Optimization Theory and 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.