Aisha Fayomi
- Statistics and Probability top 2%
- Statistics, Probability and Uncertainty top 2%
- Global and Planetary Change
- Artificial Intelligence
- Management Science and Operations Research top 10%
- Co-authors
- Ehab M. AlmetwallyAmal S. HassanAli AlgarniMohammed ElgarhyRomany F. MansourVinay KumarS. Abdel‐KhalekDeepak Gupta
- Topics
- Statistical Distribution Estimation and Applications (24 papers)Statistical Methods and Bayesian Inference (10 papers)Probabilistic and Robust Engineering Design (9 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyHealth Information Management
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEApplied Sciences
- Partner nations
- Saudi ArabiaEgyptPakistan
In The Last Decade
Aisha Fayomi
27 papers receiving 295 citations
Peers
Comparison fields: 5 of 59
- Statistics and Probability 237
- Statistics, Probability and Uncertainty 126
- Global and Planetary Change 55
- Artificial Intelligence 41
- Management Science and Operations Research 41
Countries citing papers authored by Aisha Fayomi
This map shows the geographic impact of Aisha Fayomi'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 Aisha Fayomi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aisha Fayomi more than expected).
Fields of papers citing papers by Aisha Fayomi
This network shows the impact of papers produced by Aisha Fayomi. 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 Aisha Fayomi. The network helps show where Aisha Fayomi may publish in the future.
Co-authorship network of co-authors of Aisha Fayomi
This figure shows the co-authorship network connecting the top 25 collaborators of Aisha Fayomi. A scholar is included among the top collaborators of Aisha Fayomi 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 Aisha Fayomi. Aisha Fayomi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 8 | |
| 8 | 33 | |
| 9 | 5 | |
| 10 | 8 | |
| 11 | 19 | |
| 12 | 12 | |
| 13 | 7 | |
| 14 | 9 | |
| 15 | 3 | |
| 16 | 15 | |
| 17 | 5 | |
| 18 | 41 | |
| 19 | 4 | |
| 20 | 5 |
About Aisha Fayomi
Aisha Fayomi is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 32 papers that have together received 315 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (24 papers), Statistical Methods and Bayesian Inference (10 papers) and Probabilistic and Robust Engineering Design (9 papers). The work is most often cited by research in Statistics and Probability (237 citations), Statistics, Probability and Uncertainty (126 citations) and Health Information Management (30 citations). Aisha Fayomi has collaborated with scholars based in Saudi Arabia, Egypt and Pakistan. Frequent co-authors include Ehab M. Almetwally, Amal S. Hassan, Ali Algarni, Mohammed Elgarhy, Romany F. Mansour, Vinay Kumar, S. Abdel‐Khalek, Deepak Gupta, Suliman A. Alsuhibany and Farrukh Jamal. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Applied Sciences.
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.