M. Haseeb Rizvi
- Statistics and Probability top 2%
- Artificial Intelligence top 10%
- Management Science and Operations Research top 10%
- Statistics, Probability and Uncertainty top 5%
- Computer Vision and Pattern Recognition
- Co-authors
- Herman ChernoffDonald R. BarrP. R. KrishnaiahMilton SobelGeorge WoodworthDavid SiegmundJagdish S. RustagiUsman Hassan
- Topics
- Advanced Statistical Methods and Models (10 papers)Bayesian Methods and Mixture Models (7 papers)Advanced Statistical Process Monitoring (4 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
- Partner nations
- United StatesCanadaPakistan
In The Last Decade
M. Haseeb Rizvi
26 papers receiving 269 citations
Peers
Comparison fields: 5 of 81
- Statistics and Probability 161
- Artificial Intelligence 93
- Management Science and Operations Research 64
- Statistics, Probability and Uncertainty 61
- Computer Vision and Pattern Recognition 31
Countries citing papers authored by M. Haseeb Rizvi
This map shows the geographic impact of M. Haseeb Rizvi'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 M. Haseeb Rizvi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Haseeb Rizvi more than expected).
Fields of papers citing papers by M. Haseeb Rizvi
This network shows the impact of papers produced by M. Haseeb Rizvi. 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 M. Haseeb Rizvi. The network helps show where M. Haseeb Rizvi may publish in the future.
Co-authorship network of co-authors of M. Haseeb Rizvi
This figure shows the co-authorship network connecting the top 25 collaborators of M. Haseeb Rizvi. A scholar is included among the top collaborators of M. Haseeb Rizvi 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 M. Haseeb Rizvi. M. Haseeb Rizvi 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 | Difficulty Index, Discrimination Index and Distractor Efficiency in Multiple Choice Questions | 44 |
| 3 | Recent advances in statistics : papers in honor of Herman Chernoff on his sixtieth birthday | 29 |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 59 | |
| 7 | 16 | |
| 8 | 5 | |
| 9 | 7 | |
| 10 | 2 | |
| 11 | 12 | |
| 12 | 4 | |
| 13 | 16 | |
| 14 | 12 | |
| 15 | 17 | |
| 16 | 4 | |
| 17 | 5 | |
| 18 | 5 | |
| 19 | 9 | |
| 20 | Ranking And Selection Problems Of Normal Populations Using THe Absolute Values Of Their Means: Fixed Sample Size Case | 10 |
About M. Haseeb Rizvi
M. Haseeb Rizvi is a scholar working on Statistics and Probability, Health Informatics and Statistics, Probability and Uncertainty, having authored 27 papers that have together received 315 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (10 papers), Bayesian Methods and Mixture Models (7 papers) and Advanced Statistical Process Monitoring (4 papers). The work is most often cited by research in Statistics and Probability (161 citations), Statistics, Probability and Uncertainty (61 citations) and Management Science and Operations Research (64 citations). M. Haseeb Rizvi has collaborated with scholars based in United States, Canada and Pakistan. Frequent co-authors include Herman Chernoff, Donald R. Barr, P. R. Krishnaiah, Milton Sobel, George Woodworth, David Siegmund, Jagdish S. Rustagi, Usman Hassan, Herbert Solomon and Khursheed Alam. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and The Annals of Statistics.
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.