Nahid Sharmin

39 total papers · 942 total citations
30 papers, 648 citations indexed

About

Nahid Sharmin is a scholar working on Materials Chemistry, Inorganic Chemistry and Water Science and Technology. According to data from OpenAlex, Nahid Sharmin has authored 30 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Materials Chemistry, 11 papers in Inorganic Chemistry and 9 papers in Water Science and Technology. Recurrent topics in Nahid Sharmin's work include Pigment Synthesis and Properties (9 papers), Magnetic Properties and Synthesis of Ferrites (7 papers) and Minerals Flotation and Separation Techniques (6 papers). Nahid Sharmin is often cited by papers focused on Pigment Synthesis and Properties (9 papers), Magnetic Properties and Synthesis of Ferrites (7 papers) and Minerals Flotation and Separation Techniques (6 papers). Nahid Sharmin collaborates with scholars based in Bangladesh, United States and Russia. Nahid Sharmin's co-authors include Bristy Biswas, Lutfor Rahman, Md. Farid Ahmed, Munmun Basak, Samina Ahmed, Md. Sahadat Hossain, Md. Humayun Kabir, Mashrafi Bin Mobarak, Monika Mahmud and Shirin Akter Jahan and has published in prestigious journals such as RSC Advances, Journal of Alloys and Compounds and International Journal of Biological Macromolecules.

In The Last Decade

Nahid Sharmin

28 papers receiving 633 citations

Hit Papers

The use of X-ray diffract... 2021 2026 2022 2024 2021 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nahid Sharmin 377 155 152 132 113 30 648
Teng Chen 368 1.0× 232 1.5× 118 0.8× 112 0.8× 116 1.0× 44 792
Changlong Yang 338 0.9× 122 0.8× 99 0.7× 88 0.7× 95 0.8× 36 608
Yan Shan 411 1.1× 210 1.4× 172 1.1× 187 1.4× 144 1.3× 32 707
Yanhong Ding 269 0.7× 194 1.3× 99 0.7× 253 1.9× 92 0.8× 35 649
Ying Meng 348 0.9× 110 0.7× 132 0.9× 113 0.9× 63 0.6× 52 646
Zhengping Zhao 206 0.5× 195 1.3× 122 0.8× 118 0.9× 159 1.4× 52 679
Ling Shi 283 0.8× 155 1.0× 109 0.7× 111 0.8× 144 1.3× 31 753
Shafaq Sahar 331 0.9× 170 1.1× 163 1.1× 60 0.5× 139 1.2× 21 609
Ali Md Showkat 338 0.9× 247 1.6× 121 0.8× 126 1.0× 181 1.6× 24 776
Yanqiu Zhu 319 0.8× 190 1.2× 107 0.7× 269 2.0× 103 0.9× 46 757

Countries citing papers authored by Nahid Sharmin

Since Specialization
Citations

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

Fields of papers citing papers by Nahid Sharmin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nahid Sharmin

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

All Works

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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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