M. Haseeb Rizvi

43 total papers · 475 total citations
27 papers, 314 citations indexed

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 27 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 16 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 (10 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 (10 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, Canada and Pakistan. M. Haseeb Rizvi's co-authors include Herman Chernoff, Donald R. Barr, P. R. Krishnaiah, George Woodworth, Milton Sobel, David Siegmund, Jagdish S. Rustagi, Usman Hassan, Herbert Solomon and Khursheed Alam and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and The Annals of Statistics.

In The Last Decade

M. Haseeb Rizvi

26 papers receiving 268 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
M. Haseeb Rizvi	161	93	64	61	31	27	314
Jiajuan Liang	177 1.1×	36 0.4×	47 0.7×	47 0.8×	19 0.6×	39	323
Dmitry I. Belov	89 0.6×	92 1.0×	106 1.7×	34 0.6×	26 0.8×	25	331
Alicia Nieto-Reyes	130 0.8×	36 0.4×	24 0.4×	63 1.0×	26 0.8×	30	235
R. Wayne Oldford	68 0.4×	99 1.1×	18 0.3×	11 0.2×	46 1.5×	20	227
Douglas A. Zahn	180 1.1×	20 0.2×	93 1.5×	57 0.9×	5 0.2×	24	354
Sigbert Klinke	67 0.4×	68 0.7×	14 0.2×	11 0.2×	45 1.5×	19	240
Zheng Tracy Ke	110 0.7×	110 1.2×	37 0.6×	15 0.2×	21 0.7×	30	347
Thomas A. Brown	32 0.2×	93 1.0×	51 0.8×	13 0.2×	20 0.6×	27	337
Étienne Birmelé	52 0.3×	81 0.9×	15 0.2×	7 0.1×	14 0.5×	26	331
Beatriz Sinova	285 1.8×	138 1.5×	256 4.0×	13 0.2×	10 0.3×	27	363

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).

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.

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

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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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