Munni Begum

541 total citations
29 papers, 391 citations indexed

About

Munni Begum is a scholar working on Molecular Biology, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Munni Begum has authored 29 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Statistics and Probability and 4 papers in Artificial Intelligence. Recurrent topics in Munni Begum's work include Physical Activity and Health (4 papers), Gene expression and cancer classification (4 papers) and Statistical Methods and Bayesian Inference (3 papers). Munni Begum is often cited by papers focused on Physical Activity and Health (4 papers), Gene expression and cancer classification (4 papers) and Statistical Methods and Bayesian Inference (3 papers). Munni Begum collaborates with scholars based in United States, Bangladesh and China. Munni Begum's co-authors include Leigh Belton, Marci K. Campbell, Elizabeth Gerken Hooten, Morshed Alam, Karin A. Pfeiffer, Alexander H.K. Montoye, Md. Mobarak Hossain Khan, Mohammad Alamgir Kabir, Pamela Y. Frasier and Pamela K. Gonzalez and has published in prestigious journals such as SHILAP Revista de lepidopterología, BMC Public Health and Yeast.

In The Last Decade

Munni Begum

23 papers receiving 367 citations

Peers

Munni Begum

GHP

HEALT

SPS

Ilana G. Raskind United States

Hario Megatsari Indonesia

Sara L. Tamers United States

Seyed Hossein Mohaqeqi Kamal Iran

Anjali Gupta United States

Natalie Smith United States

Jing Shen Germany

Muhammad Shahid Pakistan

Dian Kusuma United Kingdom

Ralf Radermacher Germany

Ilana G. Raskind United States

Munni Begum

243 ×2.3

GHP

46 ×0.5

HEALT

85 ×1.2

37 ×0.5

60 ×0.9

SPS

Citations per year, relative to Munni Begum Munni Begum (= 1×) peers Ilana G. Raskind

Countries citing papers authored by Munni Begum

Since Specialization

Citations

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

Fields of papers citing papers by Munni Begum

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Munni Begum. 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 Munni Begum. The network helps show where Munni Begum may publish in the future.

Co-authorship network of co-authors of Munni Begum

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

All Works

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20 of 20 papers shown

Begum, Munni, et al.. (2024). DeepSentiment: Unlocking Insights from Twitter Data with Advanced Deep Learning Analytics. 966–969. 6 indexed citations

Begum, Munni, Matthew P. Harber, W. Holmes Finch, et al.. (2022). Subgroup Identification with Classification and Regression Tree-Based Algorithms: an Application to the Ball State Adult Fitness Longitudinal Study. Bulletin of the Malaysian Mathematical Sciences Society. 45(S1). 445–459. 1 indexed citations

Begum, Munni, et al.. (2021). Ordinal Statistical Models of Physical Activity Levels from Accelerometer Data. International journal of exercise science. 14(7). 338–357. 1 indexed citations

Rahman, Mohammed Mizanur, et al.. (2021). Tourism during COVID-19 Pandemic: Evidence from Top 20 Visited Country. SSRN Electronic Journal. 2 indexed citations

Begum, Munni, et al.. (2021). Subgroup identification for differential cardio-respiratory fitness effect on cardiovascular disease risk factors: A model-based recursive partitioning approach. 54(2). 147–165. 1 indexed citations

Begum, Munni, et al.. (2020). Statistical Learning Methods to Predict Activity Intensity from Body-Worn Accelerometers. Digital Commons - George Fox University (George Fox University). 3(1). 27–50.

Begum, Munni, et al.. (2018). A generalized linear model for multivariate correlated binary response data on mobility index. 52(1). 61–73.

Alam, Morshed, Naim Al Mahi, & Munni Begum. (2018). Zero-Inflated Models for RNA-Seq Count Data. Graduate Medical Education Research Journal. 1(2). 55–70. 3 indexed citations

Montoye, Alexander H.K., et al.. (2017). Comparison of linear and non-linear models for predicting energy expenditure from raw accelerometer data. Physiological Measurement. 38(2). 343–357. 51 indexed citations

10.

Mahi, Naim Al & Munni Begum. (2016). A two-step integrated approach to detect differentially expressed genes in RNA-Seq data. Journal of Bioinformatics and Computational Biology. 14(6). 1650034–1650034. 2 indexed citations

11.

Begum, Munni. (2016). Cancer Risk from Exposure to Low to Moderate Level of Arsenic Using Meta-Analysis of Flexible Regression Models. Biometrics & Biostatistics International Journal. 3(3). 1 indexed citations

12.

Begum, Munni, et al.. (2014). A Generalized Inflated Poisson Distribution with Application to Modeling Fertility Data. 12(2). 135–159. 7 indexed citations

13.

Alam, Morshed, et al.. (2013). Predictors of the number of under-five malnourished children in Bangladesh: application of the generalized poisson regression model. BMC Public Health. 13(1). 11–11. 89 indexed citations

14.

Begum, Munni, et al.. (2012). Graphical Modeling for High Dimensional Data. Journal of Modern Applied Statistical Methods. 11(2). 457–468. 1 indexed citations

15.

Begum, Munni, et al.. (2012). Low-Dose Risk Assessment for Arsenic. Asia Pacific Journal of Public Health. 27(2). NP20–NP35. 25 indexed citations

16.

Ali, M. Masoom, et al.. (2006). Nonparametric Bayesian Multiple Comparisons for Dependence Parameter in Bivariate Exponential Populations. Journal of Modern Applied Statistical Methods. 5(1). 66–72. 1 indexed citations

17.

Kelsey, Kristine, Brenda M. DeVellis, Munni Begum, et al.. (2006). Positive affect, exercise and self-reported health in blue-collar women.. PubMed. 30(2). 199–207. 30 indexed citations

18.

Kelsey, Kristine, Brenda M. DeVellis, Munni Begum, et al.. (2006). Positive Affect, Exercise and Self-Reported Health in Blue-Collar Women. American Journal of Health Behavior. 30(2). 199–207. 29 indexed citations

19.

Ali, M. Masoom, et al.. (2005). Nonparametric Bayesian Multiple Comparisons for Geometric Populations. Journal of the Korean Data and Information Science Society. 16(4). 1129–1140. 2 indexed citations

20.

Begum, Munni, et al.. (1989). Child abuse and neglect as seen in General Hospital, Kuala Lumpur--a two year study.. PubMed. 44(2). 111–21. 4 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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