M. G. M. Khan

1.2k total citations
75 papers, 872 citations indexed

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 75 papers receiving a total of 872 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Statistics and Probability, 13 papers in Artificial Intelligence and 11 papers in Safety, Risk, Reliability and Quality. Recurrent topics in M. G. M. Khan's work include Survey Sampling and Estimation Techniques (22 papers), Statistical Distribution Estimation and Applications (11 papers) and Reliability and Maintenance Optimization (11 papers). M. G. M. Khan is often cited by papers focused on Survey Sampling and Estimation Techniques (22 papers), Statistical Distribution Estimation and Applications (11 papers) and Reliability and Maintenance Optimization (11 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, Anjeela D. Jokhan and Pritika Reddy and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Energy Conversion and Management.

In The Last Decade

M. G. M. Khan

72 papers receiving 805 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M. G. M. Khan Fiji 18 316 188 179 110 91 75 872
Stan Kaplan United States 15 59 0.2× 46 0.2× 168 0.9× 42 0.4× 66 0.7× 39 1.1k
James J. Swain United States 13 472 1.5× 95 0.5× 67 0.4× 79 0.7× 93 1.0× 44 983
Mark P. Kaminskiy United States 8 94 0.3× 53 0.3× 188 1.1× 33 0.3× 25 0.3× 21 567
Martin Newby United Kingdom 16 268 0.8× 128 0.7× 386 2.2× 19 0.2× 53 0.6× 47 768
Bruce E. Barrett United States 9 144 0.5× 163 0.9× 26 0.1× 260 2.4× 150 1.6× 17 1.1k
Guglielmo D’Amico Italy 17 56 0.2× 47 0.3× 133 0.7× 10 0.1× 62 0.7× 122 955
Bo Friis Nielsen Denmark 16 144 0.5× 40 0.2× 99 0.6× 26 0.2× 67 0.7× 71 1.0k
Warren Gilchrist United Kingdom 10 286 0.9× 26 0.1× 105 0.6× 20 0.2× 94 1.0× 26 807
W. J. Zimmer United States 15 626 2.0× 81 0.4× 345 1.9× 17 0.2× 61 0.7× 45 1.2k
Ernest M. Scheuer United States 14 265 0.8× 110 0.6× 287 1.6× 10 0.1× 54 0.6× 33 803

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
1.
Ahmed, M. Rafiuddin, et al.. (2024). Time‐variations of wave energy and forecasting power availability at a site in Fiji using time‐series, regression and ANN techniques. Journal of the Royal Society of New Zealand. 55(4). 946–976. 1 indexed citations
2.
3.
Khan, M. G. M., et al.. (2023). Constructing efficient strata boundaries in stratified sampling using survey cost. Heliyon. 9(11). e21407–e21407. 6 indexed citations
4.
Khan, M. G. M., et al.. (2019). Protein secondary structure prediction using neural networks and deep learning: A review. Computational Biology and Chemistry. 81. 1–8. 51 indexed citations
5.
Shatabda, Swakkhar, et al.. (2019). Protein structure prediction from inaccurate and sparse NMR data using an enhanced genetic algorithm. Computational Biology and Chemistry. 79. 6–15. 6 indexed citations
6.
Khan, M. G. M., et al.. (2018). Assessment of sugarcane varieties for their stability and yield potential in Fiji. 35(2). 20–32. 6 indexed citations
7.
Khan, M. G. M., et al.. (2018). Optimum strata boundaries and sample sizes in health surveys using auxiliary variables. PLoS ONE. 13(4). e0194787–e0194787. 11 indexed citations
8.
Khan, M. G. M., et al.. (2018). Optimal stratification in stratified designs using weibull-distributed auxiliary information. Communication in Statistics- Theory and Methods. 48(12). 3136–3152. 6 indexed citations
9.
Khan, M. G. M., et al.. (2015). Modeling emigration of Fiji's population using Artificial Neural Network. 39. 1–8. 2 indexed citations
10.
Khan, M. G. M., et al.. (2014). Optimum stratification using auxiliary variables. 1 indexed citations
11.
Khan, M. G. M., et al.. (2014). Calibration estimator of population mean in stratified random sampling. 1–5. 13 indexed citations
12.
Khan, M. G. M., et al.. (2014). SMEs modes of entering in China : A Multiple Case Study of Swedish firms entering in China. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1 indexed citations
13.
Ahmad, N., et al.. (2013). Planning Accelerated Life Tests for Burr Type X Failure Model with Type I Censoring. SHILAP Revista de lepidopterología. 12(3). 266–266. 2 indexed citations
14.
Khan, M. G. M., Tapabrata Maiti, & M. J. Ahsan. (2010). An optimal multivariate stratified sampling design using auxiliary information: an integer solution using goal programming approach. Journal of Official Statistics. 26(4). 695–708. 34 indexed citations
15.
Ahmad, N., et al.. (2010). Software Reliability Modeling Incorporating Log-Logistic Testing-Effort with Imperfect Debugging. AIP conference proceedings. 651–657. 10 indexed citations
16.
Ahmad, N., Mohammad Ubaidullah Bokhari, S. M. K. Quadri, & M. G. M. Khan. (2008). The exponentiated Weibull software reliability growth model with various testing‐efforts and optimal release policy. International Journal of Quality & Reliability Management. 25(2). 211–235. 54 indexed citations
17.
Khan, M. G. M., et al.. (2008). Optimum allocation in multivariate stratified sampling in presence of non-response. Acta Obstetricia Et Gynecologica Scandinavica. 92(4). 433–8. 19 indexed citations
18.
19.
Khan, M. G. M., et al.. (2003). Theory & Methods: An Optimal Multivariate Stratified Sampling Design Using Dynamic Programming. Australian & New Zealand Journal of Statistics. 45(1). 107–113. 40 indexed citations
20.
Khan, M. G. M., et al.. (2002). Optimum Stratification: A Mathematical Programming Approach. Calcutta Statistical Association Bulletin. 52(1-4). 323–334. 27 indexed citations

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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