Mohamed Ibrahim
- Statistics and Probability top 0.5%
- Statistics, Probability and Uncertainty top 0.5%
- Management Science and Operations Research top 2%
- Finance top 5%
- Global and Planetary Change
- Co-authors
- Haitham M. YousofM. Masoom AliG. G. HamedaniNadeem Shafique ButtHafida GoualMohamed S. EliwaWalid EmamYusra Tashkandy
- Topics
- Statistical Distribution Estimation and Applications (52 papers)Statistical Methods and Bayesian Inference (20 papers)Probabilistic and Robust Engineering Design (14 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsSymmetry
- Partner nations
- EgyptUnited StatesSaudi Arabia
In The Last Decade
Mohamed Ibrahim
75 papers receiving 850 citations
Peers
Comparison fields: 5 of 65
- Statistics and Probability 738
- Statistics, Probability and Uncertainty 323
- Management Science and Operations Research 241
- Finance 159
- Global and Planetary Change 103
Countries citing papers authored by Mohamed Ibrahim
This map shows the geographic impact of Mohamed Ibrahim'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 Mohamed Ibrahim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohamed Ibrahim more than expected).
Fields of papers citing papers by Mohamed Ibrahim
This network shows the impact of papers produced by Mohamed Ibrahim. 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 Mohamed Ibrahim. The network helps show where Mohamed Ibrahim may publish in the future.
Co-authorship network of co-authors of Mohamed Ibrahim
This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Ibrahim. A scholar is included among the top collaborators of Mohamed Ibrahim 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 Mohamed Ibrahim. Mohamed Ibrahim 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 | 0 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 11 | |
| 9 | 4 | |
| 10 | 6 | |
| 11 | 11 | |
| 12 | 2 | |
| 13 | 11 | |
| 14 | 11 | |
| 15 | 1 | |
| 16 | 29 | |
| 17 | 5 | |
| 18 | 58 | |
| 19 | 1 | |
| 20 | 36 |
About Mohamed Ibrahim
Mohamed Ibrahim is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 79 papers that have together received 909 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (52 papers), Statistical Methods and Bayesian Inference (20 papers) and Probabilistic and Robust Engineering Design (14 papers). The work is most often cited by research in Statistics and Probability (738 citations), Statistics, Probability and Uncertainty (323 citations) and Management Science and Operations Research (241 citations). Mohamed Ibrahim has collaborated with scholars based in Egypt, United States and Saudi Arabia. Frequent co-authors include Haitham M. Yousof, M. Masoom Ali, G. G. Hamedani, Nadeem Shafique Butt, Hafida Goual, Mohamed S. Eliwa, Walid Emam, Yusra Tashkandy, Emrah Altun and Abhimanyu Singh Yadav. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Symmetry.
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.