M. G. M. Khan

40 papers and 489 indexed citations i.

About

M. G. M. Khan is a scholar working on Statistics and Probability, Artificial Intelligence and Safety, Risk, Reliability and Quality. According to data from OpenAlex, M. G. M. Khan has authored 40 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistics and Probability, 12 papers in Artificial Intelligence and 7 papers in Safety, Risk, Reliability and Quality. Recurrent topics in M. G. M. Khan’s work include Survey Sampling and Estimation Techniques (10 papers), Statistical Distribution Estimation and Applications (8 papers) and Reliability and Maintenance Optimization (7 papers). M. G. M. Khan is often cited by papers focused on Survey Sampling and Estimation Techniques (10 papers), Statistical Distribution Estimation and Applications (8 papers) and Reliability and Maintenance Optimization (7 papers). M. G. M. Khan collaborates with scholars based in Fiji, India and Australia. M. G. M. Khan's co-authors include N. Ahmad, M. J. Ahsan, M. Rafiuddin Ahmed, S. M. K. Quadri, Mahmood A. Rashid, Alok Sharma, Mohammad Ubaidullah Bokhari, Tapabrata Maiti, Abdollah Dehzangi and Tatsuhiko Tsunoda and has published in prestigious journals such as PLoS ONE, Energy Conversion and Management and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of M. G. M. Khan i

Fields of papers citing papers by M. G. M. Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. G. M. Khan. 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. G. M. Khan. The network helps show where M. G. M. Khan may publish in the future.

Countries citing papers authored by M. G. M. Khan

Since Specialization
Citations

This map shows the geographic impact of M. G. M. Khan'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. G. M. Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. G. M. Khan 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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