Sohel Rana

1.4k total citations · 1 hit paper
45 papers, 978 citations indexed

About

Sohel Rana is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Artificial Intelligence. According to data from OpenAlex, Sohel Rana has authored 45 papers receiving a total of 978 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Statistics and Probability, 11 papers in Statistics, Probability and Uncertainty and 9 papers in Artificial Intelligence. Recurrent topics in Sohel Rana's work include Advanced Statistical Methods and Models (25 papers), Advanced Statistical Process Monitoring (10 papers) and Statistical Methods and Inference (10 papers). Sohel Rana is often cited by papers focused on Advanced Statistical Methods and Models (25 papers), Advanced Statistical Process Monitoring (10 papers) and Statistical Methods and Inference (10 papers). Sohel Rana collaborates with scholars based in Malaysia, Bangladesh and Iraq. Sohel Rana's co-authors include Habshah Midi, Shubhra Sarkar, A. H. M. Rahmatullah Imon, Md. Nazrul Islam Mondal, Md. Ataur Rahman, J.M.N. Marikkar, Abdul Ghapor Hussin, Gafurjan Ibragimov, Yong Zulina Zubairi and Anwar Fitrianto and has published in prestigious journals such as SHILAP Revista de lepidopterología, Mathematical Problems in Engineering and Journal of Applied Statistics.

In The Last Decade

Sohel Rana

41 papers receiving 934 citations

Hit Papers

Collinearity diagnostics of binary logistic regression model 2010 2026 2015 2020 2010 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sohel Rana Malaysia 10 107 97 85 73 72 45 978
Habshah Midi Malaysia 14 114 1.1× 108 1.1× 291 3.4× 89 1.2× 78 1.1× 107 1.4k
Leili Tapak Iran 19 98 0.9× 69 0.7× 30 0.4× 48 0.7× 90 1.3× 173 1.3k
Owen Nicholas United Kingdom 14 116 1.1× 87 0.9× 100 1.2× 88 1.2× 48 0.7× 21 1.2k
Hilary I. Okagbue Nigeria 18 45 0.4× 90 0.9× 186 2.2× 77 1.1× 103 1.4× 194 1.4k
Dany Doiron Canada 18 106 1.0× 48 0.5× 34 0.4× 49 0.7× 32 0.4× 51 1.5k
Katerina M. Marcoulides United States 13 51 0.5× 109 1.1× 94 1.1× 47 0.6× 93 1.3× 40 859
Yiliang Zhu United States 22 93 0.9× 42 0.4× 93 1.1× 48 0.7× 33 0.5× 93 1.2k
David Wooff United Kingdom 17 199 1.9× 72 0.7× 107 1.3× 42 0.6× 188 2.6× 47 1.2k
Johan Bring Sweden 21 65 0.6× 60 0.6× 97 1.1× 160 2.2× 44 0.6× 58 1.7k
Yeonseung Chung South Korea 20 227 2.1× 49 0.5× 168 2.0× 49 0.7× 98 1.4× 50 1.2k

Countries citing papers authored by Sohel Rana

Since Specialization
Citations

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

Fields of papers citing papers by Sohel Rana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sohel Rana

This figure shows the co-authorship network connecting the top 25 collaborators of Sohel Rana. A scholar is included among the top collaborators of Sohel Rana 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 Sohel Rana. Sohel Rana 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.
Hasan, Mehedi, et al.. (2024). Assessment of Energy Consumption and Emissions of Fabric Production Lines in Bangladesh. SSRN Electronic Journal.
2.
Rana, Sohel, et al.. (2023). Sustainable wheat production strategies in blast-affected areas of Bangladesh. Outlook on Agriculture. 53(1). 60–71. 1 indexed citations
4.
Rana, Sohel & Md. Nazrul Islam Mondal. (2021). A Generic Approach for Relative Regular-Frequent Pattern Mining in Retail Supermarket. SSRN Electronic Journal. 3 indexed citations
5.
Rana, Sohel, et al.. (2021). Robust Normality Test in the Presence of Outliers. Journal of Physics Conference Series. 1863(1). 12009–12009. 4 indexed citations
6.
Rana, Sohel, et al.. (2021). Potato Grading Based on Size Features by Machine Vision Technique. SHILAP Revista de lepidopterología. 1–1. 1 indexed citations
7.
Zubairi, Yong Zulina, et al.. (2019). Identification of influential observation in linear structural relationship model with known slope. Communications in Statistics - Simulation and Computation. 51(1). 72–83. 1 indexed citations
8.
Rana, Sohel, et al.. (2018). Determinants of Tourism and HIV/AIDS Incidence in West Java. Kesmas National Public Health Journal. 12(4). 153–153.
9.
Hussin, Abdul Ghapor, et al.. (2017). Small-Sample condence interval for the slope of linear structural relationship model. Electronic journal of applied statistical analysis. 10(2). 374–383. 1 indexed citations
10.
Rana, Sohel, et al.. (2017). Elastic Net for Single Index Support Vector Regression Model. ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH. 51(2). 195–210. 1 indexed citations
11.
Rana, Sohel, et al.. (2017). Detection of Outliers in Univariate Circular Data using Robust Circular Distance. Journal of Modern Applied Statistical Methods. 16(2). 418–438. 8 indexed citations
12.
Midi, Habshah, et al.. (2016). Identification of Multiple Outliers in a Generalized Linear Model with Continuous Variables. Mathematical Problems in Engineering. 2016. 1–9. 4 indexed citations
13.
Rana, Sohel, et al.. (2015). Non-sparseϵ-insensitive support vector regression for outlier detection. Journal of Applied Statistics. 42(8). 1723–1739. 9 indexed citations
14.
Midi, Habshah, et al.. (2015). The effect of high leverage points on the maximum estimated likelihood for separation in logistic regression. AIP conference proceedings. 1643. 402–408. 1 indexed citations
15.
Rana, Sohel, et al.. (2015). ROBUST REGRESSION IMPUTATION FOR MISSING DATA IN THE PRESENCE OF OUTLIERS. Far East Journal of Mathematical Sciences (FJMS). 97(2). 183–195. 4 indexed citations
16.
Midi, Habshah, et al.. (2013). On the Robust Parameter Estimation for Linear Model with Autocorrelated Errors. Advanced Science Letters. 19(8). 2494–2496. 1 indexed citations
17.
Midi, Habshah, Sohel Rana, & Shubhra Sarkar. (2010). Binary response modeling and validation of its predictive ability. Universiti Putra Malaysia Institutional Repository (Universiti Putra Malaysia). 9(6). 438–447. 2 indexed citations
18.
Midi, Habshah, et al.. (2010). Detection of Outliers and Influential Observations in Binary Logistic Regression: An Empirical Study. Journal of Applied Sciences. 11(1). 26–35. 51 indexed citations
19.
Midi, Habshah, Sohel Rana, & A. H. M. Rahmatullah Imon. (2009). The performance of robust weighted least squares in the presence of outliers and heteroscedastic errors. Universiti Putra Malaysia Institutional Repository (Universiti Putra Malaysia). 8(7). 351–361. 14 indexed citations
20.
Rana, Sohel, Habshah Midi, & A. H. M. Rahmatullah Imon. (2008). A Robust Modification of the Goldfeld-Quandt Test for the Detection of Heteroscedasticity in the Presence of Outliers. Journal of Mathematics and Statistics. 4(4). 277–283. 13 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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