M. G. M. Khan

1.2k citations
75 papers · 872 indexed · h-index 18
Topics
Survey Sampling and Estimation Techniques (22 papers)Statistical Distribution Estimation and Applications (11 papers)Reliability and Maintenance Optimization (11 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEEnergy Conversion and Management
Partner nations
FijiIndiaAustralia

In The Last Decade

M. G. M. Khan

72 papers receiving 805 citations

Peers

M. G. M. Khan
Comparison fields: 5 of 117
  • Statistics and Probability 316
  • Software 188
  • Safety, Risk, Reliability and Quality 179
  • Information Systems 110
  • Artificial Intelligence 91
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Citations per field
00.5×6.9×
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Citations per year

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of M. G. M. Khan. A scholar is included among the top collaborators of M. G. M. Khan 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. G. M. Khan. M. G. M. Khan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 5
3 5
4 6
5 4
6 3
7 37
8 51
9 6
10 6
11 11
12 1
13 2
14
Optimum stratification using auxiliary variables
1
15 17
16
An optimal multivariate stratified sampling design using auxiliary information: an integer solution using goal programming approach
34
17 10
18 19
19 54
20
Mixed allocation in stratified sampling
15

About M. G. M. Khan

M. G. M. Khan is a scholar working on Statistics and Probability, Software and Safety, Risk, Reliability and Quality, having authored 75 papers that have together received 872 indexed citations. Recurring topics across this work include Survey Sampling and Estimation Techniques (22 papers), Statistical Distribution Estimation and Applications (11 papers) and Reliability and Maintenance Optimization (11 papers). The work is most often cited by research in Software (188 citations), Statistics and Probability (316 citations) and Safety, Risk, Reliability and Quality (179 citations). M. G. M. Khan has collaborated with scholars based in Fiji, India and Australia. Frequent 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, Anjeela D. Jokhan and Abdollah Dehzangi. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Energy Conversion and Management.

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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