Mohamed Alosh
- Statistics and Probability top 0.2%
- Finance top 1%
- Management Science and Operations Research top 2%
- Artificial Intelligence top 5%
- Economics and Econometrics top 5%
- Co-authors
- Abdulhamid A. AlzaidMohammad F. HuqueEmad‐Eldin A. A. AlyFrank BretzRafia BhoreRalph B. D’AgostinoMark D. RothmannEstelle Russek‐Cohen
- Topics
- Statistical Methods in Clinical Trials (16 papers)Statistical Distribution Estimation and Applications (9 papers)Advanced Causal Inference Techniques (7 papers)
- Journals
- Journal of the American Statistical AssociationStatistics in MedicineJournal of Applied Probability
- Partner nations
- Saudi ArabiaUnited StatesSwitzerland
In The Last Decade
Mohamed Alosh
30 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Statistics and Probability 1.2k
- Finance 787
- Management Science and Operations Research 335
- Artificial Intelligence 318
- Economics and Econometrics 309
Countries citing papers authored by Mohamed Alosh
This map shows the geographic impact of Mohamed Alosh'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 Alosh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohamed Alosh more than expected).
Fields of papers citing papers by Mohamed Alosh
This network shows the impact of papers produced by Mohamed Alosh. 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 Alosh. The network helps show where Mohamed Alosh may publish in the future.
Co-authorship network of co-authors of Mohamed Alosh
This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Alosh. A scholar is included among the top collaborators of Mohamed Alosh 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 Alosh. Mohamed Alosh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 16 | |
| 3 | 59 | |
| 4 | 41 | |
| 5 | 21 | |
| 6 | 2 | |
| 7 | 18 | |
| 8 | 5 | |
| 9 | 55 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | 5 | |
| 13 | 32 | |
| 14 | 1 | |
| 15 | 14 | |
| 16 | 71 | |
| 17 | 136 | |
| 18 | 5 | |
| 19 | FIRST‐ORDER INTEGER‐VALUED AUTOREGRESSIVE (INAR(1)) PROCESSbreakdown → | 631 |
| 20 | 1 |
About Mohamed Alosh
Mohamed Alosh is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 30 papers that have together received 1.7k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (16 papers), Statistical Distribution Estimation and Applications (9 papers) and Advanced Causal Inference Techniques (7 papers). The work is most often cited by research in Statistics and Probability (1.2k citations), Finance (787 citations) and Management Science and Operations Research (335 citations). Mohamed Alosh has collaborated with scholars based in Saudi Arabia, United States and Switzerland. Frequent co-authors include Abdulhamid A. Alzaid, Mohammad F. Huque, Emad‐Eldin A. A. Aly, Frank Bretz, Rafia Bhore, Ralph B. D’Agostino, Mark D. Rothmann, Estelle Russek‐Cohen, Stephen Wilson and Fraser Smith. Their work appears in journals such as Journal of the American Statistical Association, Statistics in Medicine and Journal of Applied Probability.
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.