H. M. Rasel

422 total citations
22 papers, 288 citations indexed

About

H. M. Rasel is a scholar working on Environmental Engineering, Global and Planetary Change and Water Science and Technology. According to data from OpenAlex, H. M. Rasel has authored 22 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Environmental Engineering, 12 papers in Global and Planetary Change and 9 papers in Water Science and Technology. Recurrent topics in H. M. Rasel's work include Hydrological Forecasting Using AI (10 papers), Climate variability and models (10 papers) and Hydrology and Watershed Management Studies (8 papers). H. M. Rasel is often cited by papers focused on Hydrological Forecasting Using AI (10 papers), Climate variability and models (10 papers) and Hydrology and Watershed Management Studies (8 papers). H. M. Rasel collaborates with scholars based in Australia, Bangladesh and Japan. H. M. Rasel's co-authors include Monzur Alam Imteaz, Fatemeh Mekanik, Iqbal Hossain, Abdulmohsen Khalaf Dhahi Alsukaibi, Tanvir Ahmed, Md. Rabiul Awual, Durul Huda, Anirban Khastagir, Sankar Das and Md. Abdul Aziz and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Environmental Earth Sciences.

In The Last Decade

H. M. Rasel

20 papers receiving 276 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
H. M. Rasel Australia	8	143	128	83	43	32	22	288
Hadi Galavi Iran	12	148 1.0×	128 1.0×	167 2.0×	43 1.0×	40 1.3×	20	327
Pakorn Ditthakit Thailand	11	178 1.2×	186 1.5×	174 2.1×	46 1.1×	38 1.2×	34	361
Shuyu Yang China	8	185 1.3×	116 0.9×	171 2.1×	32 0.7×	19 0.6×	18	297
Ju Guo China	8	209 1.5×	40 0.3×	117 1.4×	42 1.0×	54 1.7×	27	427
Ishtiaq Hassan Pakistan	10	119 0.8×	56 0.4×	105 1.3×	34 0.8×	14 0.4×	26	280
Antonis Bezes Greece	6	198 1.4×	59 0.5×	58 0.7×	115 2.7×	18 0.6×	8	334
Kang Ersi China	10	173 1.2×	61 0.5×	110 1.3×	100 2.3×	74 2.3×	23	597
Vamsi Krishna Vema India	9	198 1.4×	103 0.8×	174 2.1×	35 0.8×	8 0.3×	19	306
Martin G. Mansell United Kingdom	9	154 1.1×	56 0.4×	79 1.0×	52 1.2×	22 0.7×	12	346
Siti Nazahiyah Rahmat Malaysia	10	182 1.3×	69 0.5×	108 1.3×	26 0.6×	8 0.3×	43	294

Countries citing papers authored by H. M. Rasel

Since Specialization

Citations

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

Fields of papers citing papers by H. M. Rasel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. M. Rasel. 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 H. M. Rasel. The network helps show where H. M. Rasel may publish in the future.

Co-authorship network of co-authors of H. M. Rasel

This figure shows the co-authorship network connecting the top 25 collaborators of H. M. Rasel. A scholar is included among the top collaborators of H. M. Rasel 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 H. M. Rasel. H. M. Rasel 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

Rasel, H. M., et al.. (2024). From data to decisions: Leveraging ML for improved river discharge forecasting in Bangladesh. SHILAP Revista de lepidopterología. 6. 209–226.

Rasel, H. M., et al.. (2024). Machine learning for groundwater levels: uncovering the best predictors. Sustainable Water Resources Management. 10(5). 6 indexed citations

Rasel, H. M., et al.. (2022). Sustainable futures in agricultural heritage: Geospatial exploration and predicting groundwater-level variations in Barind tract of Bangladesh. The Science of The Total Environment. 865. 161297–161297. 37 indexed citations

Hossain, Iqbal, et al.. (2021). Comparison of estimation techniques for generalised extreme value (GEV) distribution parameters: a case study with Tasmanian rainfall. International Journal of Environmental Science and Technology. 19(8). 7737–7750. 12 indexed citations

Hossain, Iqbal, H. M. Rasel, Fatemeh Mekanik, & Monzur Alam Imteaz. (2020). Artificial neural network modelling technique in predicting Western Australian seasonal rainfall. International Journal of Water. 14(1). 14–14. 6 indexed citations

Mekanik, Fatemeh, H. M. Rasel, Monzur Alam Imteaz, & Iqbal Hossain. (2020). Artificial neural network modelling technique in predicting Western Australian seasonal rainfall. International Journal of Water. 14(1). 14–14. 2 indexed citations

Hossain, Iqbal, H. M. Rasel, Monzur Alam Imteaz, & Fatemeh Mekanik. (2018). Long-term seasonal rainfall forecasting: efficiency of linear modelling technique. Environmental Earth Sciences. 77(7). 39 indexed citations

Imteaz, Monzur Alam, et al.. (2017). Analysing the effect of lagged climate indices on rainfall predictability for Western Australia's North Coast Region. Swinburne Research Bank (Swinburne University of Technology). 2 indexed citations

Rasel, H. M., Monzur Alam Imteaz, & Fatemeh Mekanik. (2017). Multiple regression modelling approach for rainfall prediction using large-scale climate indices as potential predictors. International Journal of Water. 11(3). 209–209. 7 indexed citations

10.

Mekanik, Fatemeh, Monzur Alam Imteaz, & H. M. Rasel. (2017). Multiple regression modelling approach for rainfall prediction using large-scale climate indices as potential predictors. International Journal of Water. 11(3). 209–209. 2 indexed citations

11.

Rasel, H. M., Monzur Alam Imteaz, & Fatemeh Mekanik. (2016). Investigating the influence of Remote Climate Drivers as the Predictors in Forecasting South Australian spring rainfall. International Journal of Environmental Research. 10(1). 1–12. 13 indexed citations

12.

Rasel, H. M., et al.. (2016). Long-term rainfall prediction using large scale climate variables through linear and non-linear methods. Swinburne Research Bank (Swinburne University of Technology). 236. 1 indexed citations

13.

Hossain, Iqbal, et al.. (2015). Effects of climate indices on extreme rainfall in Queensland, Australia. 1 indexed citations

14.

Rasel, H. M., et al.. (2015). Comparative study between linear and non-linear modelling techniques in rainfall forecasting for South Australia. 4 indexed citations

15.

Rasel, H. M., et al.. (2015). A comparison between single and combined climate predictors successes on predicting South Australian spring rainfall. 2 indexed citations

16.

Aziz, Md. Abdul, et al.. (2015). Development and performance testing of 'Comb Separator', a novel sewer overflow screening device. International Journal of Environment and Waste Management. 16(3). 248–248.

17.

Rasel, H. M., et al.. (2013). Investigation of soil and water salinity, its effect on crop production and adaptation strategy. International Journal of Water Resources and Environmental Engineering. 5(8). 475–481. 52 indexed citations

18.

Rasel, H. M., et al.. (2013). Study on the effects of vegetation density in reducing bed shear stress on the downstream slope of earthen embankment. International Journal of Water Resources and Environmental Engineering. 5(4). 187–193. 2 indexed citations

19.

Rasel, H. M., et al.. (2011). Study of Effects of Waste PVC on the Properties of Bituminous Mixes. SAMRIDDHI A Journal of Physical Sciences Engineering and Technology. 2(2). 17–23. 13 indexed citations

20.

Rasel, H. M., et al.. (2011). Performance Evaluation of Brick Chips as Coarse Aggregate on the Properties of Bituminous Mixes. SAMRIDDHI A Journal of Physical Sciences Engineering and Technology. 2(2). 37–46. 12 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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