Ibrahim A. Ahmad
- Statistics and Probability top 0.2%
- Statistics, Probability and Uncertainty top 0.5%
- Artificial Intelligence top 5%
- Management Science and Operations Research top 2%
- Safety, Risk, Reliability and Quality top 2%
- Co-authors
- Mohamed KayidPi‐Erh LinQi LiSayed MostafaFranco PellereyPatricia B. CerritoSubhash C. KocharA. M. Abouammoh
- Topics
- Statistical Methods and Inference (38 papers)Statistical Distribution Estimation and Applications (36 papers)Advanced Statistical Methods and Models (24 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintySafety, Risk, Reliability and Quality
- Partner nations
- United StatesCanadaSaudi Arabia
In The Last Decade
Ibrahim A. Ahmad
94 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 119
- Statistics and Probability 1.1k
- Statistics, Probability and Uncertainty 322
- Artificial Intelligence 277
- Management Science and Operations Research 233
- Safety, Risk, Reliability and Quality 187
Countries citing papers authored by Ibrahim A. Ahmad
This map shows the geographic impact of Ibrahim A. Ahmad'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 Ibrahim A. Ahmad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ibrahim A. Ahmad more than expected).
Fields of papers citing papers by Ibrahim A. Ahmad
This network shows the impact of papers produced by Ibrahim A. Ahmad. 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 Ibrahim A. Ahmad. The network helps show where Ibrahim A. Ahmad may publish in the future.
Co-authorship network of co-authors of Ibrahim A. Ahmad
This figure shows the co-authorship network connecting the top 25 collaborators of Ibrahim A. Ahmad. A scholar is included among the top collaborators of Ibrahim A. Ahmad 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 Ibrahim A. Ahmad. Ibrahim A. Ahmad 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 | 0 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 20 | |
| 7 | 4 | |
| 8 | Characterization Results of the NBUCA Class of Life Distributions | 4 |
| 9 | Some Results About NBU mgf Class of Life Distributions | 2 |
| 10 | 7 | |
| 11 | 9 | |
| 12 | A Goodness of Fit Approach to Major Lifetesting Problems | 19 |
| 13 | 11 | |
| 14 | 3 | |
| 15 | 36 | |
| 16 | 2 | |
| 17 | 11 | |
| 18 | 0 | |
| 19 | 1 | |
| 20 | 1 |
About Ibrahim A. Ahmad
Ibrahim A. Ahmad is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 101 papers that have together received 1.5k indexed citations. Recurring topics across this work include Statistical Methods and Inference (38 papers), Statistical Distribution Estimation and Applications (36 papers) and Advanced Statistical Methods and Models (24 papers). The work is most often cited by research in Statistics and Probability (1.1k citations), Statistics, Probability and Uncertainty (322 citations) and Safety, Risk, Reliability and Quality (187 citations). Ibrahim A. Ahmad has collaborated with scholars based in United States, Canada and Saudi Arabia. Frequent co-authors include Mohamed Kayid, Pi‐Erh Lin, Qi Li, Qi Li, Sayed Mostafa, Franco Pellerey, Patricia B. Cerrito, Subhash C. Kochar, A. M. Abouammoh and Xiuqing Li. Their work appears in journals such as PLoS ONE, IEEE Transactions on Information Theory and Biometrika.
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.