M. I. Khan

18 papers and 347 indexed citations i.

About

M. I. Khan is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Plant Science. According to data from OpenAlex, M. I. Khan has authored 18 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistics and Probability, 9 papers in Statistics, Probability and Uncertainty and 3 papers in Plant Science. Recurrent topics in M. I. Khan’s work include Statistical Distribution Estimation and Applications (11 papers), Probabilistic and Robust Engineering Design (8 papers) and Advanced Statistical Process Monitoring (3 papers). M. I. Khan is often cited by papers focused on Statistical Distribution Estimation and Applications (11 papers), Probabilistic and Robust Engineering Design (8 papers) and Advanced Statistical Process Monitoring (3 papers). M. I. Khan collaborates with scholars based in Saudi Arabia, India and Germany. M. I. Khan's co-authors include Munees Ahemad, Mohammad Oves, Asma Zaidi, Nafees A. Khan, Mehar Fatma, Asim Masood, Alessandra Francini, A. Ferrante, Noushina Iqbal and Alice Trivellini and has published in prestigious journals such as Frontiers in Plant Science, Value in Health and Acta Microbiologica et Immunologica Hungarica.

In The Last Decade

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

Fields of papers citing papers by M. I. Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by M. I. Khan

Since Specialization
Citations

This map shows the geographic impact of M. I. 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. I. 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. I. 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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2025