Khidir M. Abdelbasit
- Management Science and Operations Research top 5%
- Statistics and Probability top 5%
- Computational Theory and Mathematics top 5%
- Statistics, Probability and Uncertainty top 5%
- Plant Science
- Co-authors
- R. L. PlackettAmanat AliS. A. Al‐RawahyH. A. EsechieNeil A. ButlerR. Shane DelamontRonald Wesonga
- Topics
- Optimal Experimental Design Methods (5 papers)Advanced Statistical Methods and Models (4 papers)Date Palm Research Studies (2 papers)
- Cited by
- Management Science and Operations ResearchStatistics and ProbabilityStatistics, Probability and Uncertainty
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationBiometrics
- Partner nations
- OmanUnited KingdomSudan
In The Last Decade
Khidir M. Abdelbasit
10 papers receiving 252 citations
Peers
Comparison fields: 5 of 62
- Management Science and Operations Research 193
- Statistics and Probability 119
- Computational Theory and Mathematics 107
- Statistics, Probability and Uncertainty 60
- Plant Science 47
Countries citing papers authored by Khidir M. Abdelbasit
This map shows the geographic impact of Khidir M. Abdelbasit'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 Khidir M. Abdelbasit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khidir M. Abdelbasit more than expected).
Fields of papers citing papers by Khidir M. Abdelbasit
This network shows the impact of papers produced by Khidir M. Abdelbasit. 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 Khidir M. Abdelbasit. The network helps show where Khidir M. Abdelbasit may publish in the future.
Co-authorship network of co-authors of Khidir M. Abdelbasit
This figure shows the co-authorship network connecting the top 25 collaborators of Khidir M. Abdelbasit. A scholar is included among the top collaborators of Khidir M. Abdelbasit 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 Khidir M. Abdelbasit. Khidir M. Abdelbasit 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 | 2 | |
| 3 | Effect of mineral and organic fertilizers on the chemical characteristics and quality of date fruits | 35 |
| 4 | Minimum Bias Designs For Generalized Linear Models | 1 |
| 5 | 10 | |
| 6 | 1 | |
| 7 | 169 | |
| 8 | 40 | |
| 9 | 24 | |
| 10 | 4 |
About Khidir M. Abdelbasit
Khidir M. Abdelbasit is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty, having authored 10 papers that have together received 288 indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (5 papers), Advanced Statistical Methods and Models (4 papers) and Date Palm Research Studies (2 papers). The work is most often cited by research in Management Science and Operations Research (193 citations), Statistics and Probability (119 citations) and Statistics, Probability and Uncertainty (60 citations). Khidir M. Abdelbasit has collaborated with scholars based in Oman, United Kingdom and Sudan. Frequent co-authors include R. L. Plackett, Amanat Ali, S. A. Al‐Rawahy, H. A. Esechie, Neil A. Butler, R. Shane Delamont and Ronald Wesonga. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Biometrics.
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.