Munsur Rahman

474 total citations
11 papers, 310 citations indexed

About

Munsur Rahman is a scholar working on Global and Planetary Change, Atmospheric Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Munsur Rahman has authored 11 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Global and Planetary Change, 5 papers in Atmospheric Science and 4 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Munsur Rahman's work include Tropical and Extratropical Cyclones Research (5 papers), Flood Risk Assessment and Management (4 papers) and Climate change impacts on agriculture (4 papers). Munsur Rahman is often cited by papers focused on Tropical and Extratropical Cyclones Research (5 papers), Flood Risk Assessment and Management (4 papers) and Climate change impacts on agriculture (4 papers). Munsur Rahman collaborates with scholars based in Bangladesh, United Kingdom and India. Munsur Rahman's co-authors include Anisul Haque, Mashfiqus Salehin, Robert J. Nicholls, Sugata Hazra, Frances Dunn, Hajime Nakagawa, Rezaul Karim, Stephen E. Darby, Isha Das and José A. Fernandes and has published in prestigious journals such as The Science of The Total Environment, International Journal of Disaster Risk Reduction and Climate.

In The Last Decade

Munsur Rahman

11 papers receiving 299 citations

Peers

Munsur Rahman

GPC

ECOLO

EP

AS

SPS

Julius I. Agboola Nigeria

Thanh Cong Tran Vietnam

Phạm Thanh Vũ Vietnam

Nguyễn Xuân Hiền Vietnam

Tô Quang Toản Vietnam

V. Selvam India

I. A. Aslanov Uzbekistan

Edivando Vítor do Couto Brazil

Shailesh Sharma India

Judith Stagl Germany

Julius I. Agboola Nigeria

Munsur Rahman

97 ×0.8

GPC

131 ×1.2

ECOLO

57 ×0.7

EP

39 ×0.7

AS

39 ×0.8

SPS

Citations per year, relative to Munsur Rahman Munsur Rahman (= 1×) peers Julius I. Agboola

Countries citing papers authored by Munsur Rahman

Since Specialization

Citations

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

Fields of papers citing papers by Munsur Rahman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Munsur Rahman

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

All Works

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11 of 11 papers shown

1.

Hussain, Md. Manjurul, et al.. (2024). An integrated risk-based early warning system to increase community resilience against disaster. Progress in Disaster Science. 21. 100310–100310. 14 indexed citations

2.

Haque, Anisul, et al.. (2021). Development of an adaptation model by applying non-linear programming to compute adaptation deficiency in climatic hotspots. Progress in Disaster Science. 12. 100201–100201. 2 indexed citations

3.

Das, Shouvik, Sugata Hazra, Anisul Haque, et al.. (2020). Social vulnerability to environmental hazards in the Ganges-Brahmaputra-Meghna delta, India and Bangladesh. International Journal of Disaster Risk Reduction. 53. 101983–101983. 41 indexed citations

4.

Rahman, Munsur, et al.. (2020). Analysis of Wave Characteristics along the Coast of Bangladesh Using a Coupled Wave-Hydrodynamic Delft3D Model of the Bay of Bengal. IOP Conference Series Earth and Environmental Science. 527(1). 12013–12013. 6 indexed citations

5.

Haque, Anisul, et al.. (2019). Determining the Most Sensitive Socioeconomic Parameters for Quantitative Risk Assessment. Climate. 7(9). 107–107. 4 indexed citations

6.

Haque, Anisul, et al.. (2019). Development of a Matrix Based Statistical Framework to Compute Weight for Composite Hazards, Vulnerability and Risk Assessments. Climate. 7(4). 56–56. 4 indexed citations

7.

Haque, Anisul, et al.. (2018). Risk assessment based on fuzzy synthetic evaluation method. The Science of The Total Environment. 658. 818–829. 55 indexed citations

8.

Hossain, Mostafa Ali Reza, Isha Das, Sugata Hazra, et al.. (2018). Biology and fisheries of Hilsa shad in Bay of Bengal. The Science of The Total Environment. 651(Pt 2). 1720–1734. 45 indexed citations

9.

Rahman, Munsur, Rezaul Karim, Anisul Haque, et al.. (2018). Recent sediment flux to the Ganges-Brahmaputra-Meghna delta system. The Science of The Total Environment. 643. 1054–1064. 89 indexed citations

10.

Rahman, Munsur, et al.. (2015). Flow Distribution and Sediment Transport Mechanism in the Estuarine Systems of Ganges-Brahmaputra-Meghna Delta. International Journal of Environmental Science and Development. 7(1). 22–30. 31 indexed citations

11.

Rahman, Munsur, et al.. (2015). Sundarban as a Buffer against Storm Surge Flooding. World Journal of Engineering and Technology. 3(3). 59–64. 19 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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