M. Haseeb Rizvi

24 papers and 245 indexed citations i.

About

M. Haseeb Rizvi is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, M. Haseeb Rizvi has authored 24 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Statistics and Probability, 8 papers in Artificial Intelligence and 4 papers in Management Science and Operations Research. Recurrent topics in M. Haseeb Rizvi’s work include Advanced Statistical Methods and Models (9 papers), Bayesian Methods and Mixture Models (7 papers) and Advanced Statistical Process Monitoring (4 papers). M. Haseeb Rizvi is often cited by papers focused on Advanced Statistical Methods and Models (9 papers), Bayesian Methods and Mixture Models (7 papers) and Advanced Statistical Process Monitoring (4 papers). M. Haseeb Rizvi collaborates with scholars based in United States and Canada. M. Haseeb Rizvi's co-authors include Herman Chernoff, Donald R. Barr, P. R. Krishnaiah, Milton Sobel, George Woodworth, Jagdish S. Rustagi, David Siegmund, Herbert Solomon, Khursheed Alam and R. W. Shorrock and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and The Annals of Statistics.

In The Last Decade

Co-authorship network of co-authors of M. Haseeb Rizvi i

Fields of papers citing papers by M. Haseeb Rizvi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by M. Haseeb Rizvi

Since Specialization
Citations

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).

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.

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