Muhammad Nauman Akram

479 total citations
34 papers, 371 citations indexed

About

Muhammad Nauman Akram is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Analytical Chemistry. According to data from OpenAlex, Muhammad Nauman Akram has authored 34 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Statistics and Probability, 19 papers in Statistics, Probability and Uncertainty and 9 papers in Analytical Chemistry. Recurrent topics in Muhammad Nauman Akram's work include Advanced Statistical Methods and Models (32 papers), Advanced Statistical Process Monitoring (18 papers) and Statistical Methods and Inference (11 papers). Muhammad Nauman Akram is often cited by papers focused on Advanced Statistical Methods and Models (32 papers), Advanced Statistical Process Monitoring (18 papers) and Statistical Methods and Inference (11 papers). Muhammad Nauman Akram collaborates with scholars based in Pakistan, United States and Egypt. Muhammad Nauman Akram's co-authors include Muhammad Amin, Muhammad Amanullah, B. M. Golam Kibria, Muhammad Qasim, Muhammad Aman Ullah, Muhammad Faisal, Saima Afzal, Mohamed R. Abonazel, Adewale F. Lukman and Abdisalam Hassan Muse and has published in prestigious journals such as Computational Statistics & Data Analysis, Journal of Chemometrics and Journal of Statistical Computation and Simulation.

In The Last Decade

Muhammad Nauman Akram

32 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhammad Nauman Akram Pakistan 11 350 147 63 31 22 34 371
Yasin Asar Türkiye 12 360 1.0× 170 1.2× 58 0.9× 22 0.7× 14 0.6× 32 404
Ghadban Khalaf Saudi Arabia 6 348 1.0× 199 1.4× 74 1.2× 33 1.1× 19 0.9× 9 409
G. Trenkler Germany 10 274 0.8× 96 0.7× 62 1.0× 39 1.3× 16 0.7× 26 349
İssam Dawoud Palestinian Territory 12 333 1.0× 162 1.1× 29 0.5× 15 0.5× 11 0.5× 39 371
Miroslav Šiman Czechia 9 256 0.7× 82 0.6× 31 0.5× 24 0.8× 39 1.8× 27 336
Filipe J. Marques Portugal 10 146 0.4× 19 0.1× 18 0.3× 4 0.1× 71 3.2× 56 229
Yoshihiko Konno Japan 12 248 0.7× 25 0.2× 8 0.1× 25 0.8× 60 2.7× 28 289
Feng‐Chang Xie China 11 274 0.8× 55 0.4× 5 0.1× 4 0.1× 83 3.8× 20 309
Okyoung Na South Korea 9 170 0.5× 51 0.3× 12 0.2× 4 0.1× 17 0.8× 18 290
Nickos Papadatos Greece 10 199 0.6× 44 0.3× 4 0.1× 34 1.1× 53 2.4× 31 276

Countries citing papers authored by Muhammad Nauman Akram

Since Specialization
Citations

This map shows the geographic impact of Muhammad Nauman Akram'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 Muhammad Nauman Akram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Nauman Akram more than expected).

Fields of papers citing papers by Muhammad Nauman Akram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muhammad Nauman Akram. 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 Muhammad Nauman Akram. The network helps show where Muhammad Nauman Akram may publish in the future.

Co-authorship network of co-authors of Muhammad Nauman Akram

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Nauman Akram. A scholar is included among the top collaborators of Muhammad Nauman Akram 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 Muhammad Nauman Akram. Muhammad Nauman Akram 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.
2.
Amin, Muhammad, et al.. (2024). Shewhart ridge profiling for the Gamma response model. Journal of Statistical Computation and Simulation. 94(8). 1715–1734. 5 indexed citations
3.
Amin, Muhammad, et al.. (2024). New ridge parameter estimators for the zero-inflated Conway Maxwell Poisson ridge regression model. Journal of Statistical Computation and Simulation. 94(8). 1814–1840. 7 indexed citations
4.
Amin, Muhammad, et al.. (2023). Influential observation detection in the logistic regression under different link functions: an application to urine calcium oxalate crystals data. Journal of Statistical Computation and Simulation. 94(2). 346–359. 2 indexed citations
5.
Akram, Muhammad Nauman, et al.. (2023). Kibria–Lukman estimator for the zero inflated negative binomial regression model: theory, simulation and applications. Communications in Statistics - Simulation and Computation. 54(5). 1464–1480. 2 indexed citations
6.
Amin, Muhammad, et al.. (2023). On the Estimation of the Binary Response Model. Axioms. 12(2). 175–175. 1 indexed citations
7.
Amin, Muhammad, et al.. (2022). Comparison of link functions for the estimation of logistic ridge regression: an application to urine data. Communications in Statistics - Simulation and Computation. 53(9). 4121–4137. 5 indexed citations
8.
Amin, Muhammad, et al.. (2022). A modified one parameter Liu estimator for Conway-Maxwell Poisson response model. Journal of Statistical Computation and Simulation. 92(12). 2448–2466. 8 indexed citations
9.
Akram, Muhammad Nauman, et al.. (2022). A New Conway Maxwell–Poisson Liu Regression Estimator—Method and Application. Journal of Mathematics. 2022(1). 12 indexed citations
10.
Akram, Muhammad Nauman, Muhammad Amin, Adewale F. Lukman, & Saima Afzal. (2022). Principal component ridge type estimator for the inverse Gaussian regression model. Journal of Statistical Computation and Simulation. 92(10). 2060–2089. 10 indexed citations
11.
Akram, Muhammad Nauman, et al.. (2022). A new improved Liu estimator for the QSAR model with inverse Gaussian response. Communications in Statistics - Simulation and Computation. 53(4). 1873–1888. 7 indexed citations
12.
Amin, Muhammad, et al.. (2022). On the performance of link functions in the beta ridge regression model: Simulation and application. Concurrency and Computation Practice and Experience. 34(18). 9 indexed citations
13.
Amin, Muhammad, Muhammad Nauman Akram, & B. M. Golam Kibria. (2021). A new adjusted Liu estimator for the Poisson regression model. Concurrency and Computation Practice and Experience. 33(20). 34 indexed citations
14.
Akram, Muhammad Nauman, Muhammad Amin, Muhammad Aman Ullah, & Saima Afzal. (2021). Modified ridge-type estimator for the inverse Gaussian regression model. Communication in Statistics- Theory and Methods. 52(10). 3314–3332. 7 indexed citations
15.
Qasim, Muhammad, Muhammad Nauman Akram, Muhammad Amin, & Kristofer Månsson. (2021). A restricted gamma ridge regression estimator combining the gamma ridge regression and the restricted maximum likelihood methods of estimation. Journal of Statistical Computation and Simulation. 92(8). 1696–1713. 3 indexed citations
16.
Akram, Muhammad Nauman, Muhammad Amin, & Muhammad Faisal. (2021). On the generalized biased estimators for the gamma regression model: methods and applications. Communications in Statistics - Simulation and Computation. 52(9). 4087–4100. 9 indexed citations
17.
Akram, Muhammad Nauman, et al.. (2021). Ridge parameter estimation for the linear regression model under different loss functions using T-K approximation. Communications in Statistics - Simulation and Computation. 52(9). 4361–4377. 3 indexed citations
18.
Amin, Muhammad, Muhammad Nauman Akram, & Muhammad Amanullah. (2020). On the James-Stein estimator for the poisson regression model. Communications in Statistics - Simulation and Computation. 51(10). 5596–5608. 41 indexed citations
19.
Amin, Muhammad, et al.. (2020). Bayesian estimation of ridge parameter under different loss functions. Communication in Statistics- Theory and Methods. 51(12). 4055–4071. 10 indexed citations
20.
Akram, Muhammad Nauman, Muhammad Amin, & Muhammad Amanullah. (2020). Two-parameter estimator for the inverse Gaussian regression model. Communications in Statistics - Simulation and Computation. 51(10). 6208–6226. 18 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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