Sourav Sarker

18 total papers · 518 total citations
13 papers, 134 citations indexed

About

Sourav Sarker is a scholar working on Water Science and Technology, Infectious Diseases and Computer Networks and Communications. According to data from OpenAlex, Sourav Sarker has authored 13 papers receiving a total of 134 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Water Science and Technology, 2 papers in Infectious Diseases and 2 papers in Computer Networks and Communications. Recurrent topics in Sourav Sarker's work include Water Quality and Pollution Assessment (2 papers), Nigella sativa pharmacological applications (2 papers) and SARS-CoV-2 and COVID-19 Research (1 paper). Sourav Sarker is often cited by papers focused on Water Quality and Pollution Assessment (2 papers), Nigella sativa pharmacological applications (2 papers) and SARS-CoV-2 and COVID-19 Research (1 paper). Sourav Sarker collaborates with scholars based in Bangladesh, Japan and South Korea. Sourav Sarker's co-authors include Md. Abdul Hannan, Md Jamal Uddin, Khandkar Shaharina Hossain, Mohammad Nazrul Islam, Jannatul Ferdous, Md. Masudur Rahman, Dinh‐Toi Chu, Akhi Moni, Hunjoo Ha and Uwe A. Schneider and has published in prestigious journals such as International Journal of Molecular Sciences, IEEE Access and Journal of Environmental Management.

In The Last Decade

Sourav Sarker

8 papers receiving 130 citations

Author Peers

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

Author Last Decade Papers Cites
Sourav Sarker 59 27 20 14 13 13 134
Anandarajagopal Kalusalingam 23 0.4× 38 1.4× 23 1.1× 43 3.1× 17 1.3× 19 222
Roshitha Waduge 82 1.4× 11 0.4× 10 0.5× 26 1.9× 15 1.2× 13 279
Anum Nazir 20 0.3× 8 0.3× 37 1.9× 12 0.9× 5 0.4× 12 158
Hashmat Imam 83 1.4× 24 0.9× 41 2.0× 32 2.3× 13 1.0× 13 277
Zainol Haida 31 0.5× 27 1.0× 46 2.3× 79 5.6× 2 0.2× 13 278
Ejaz Mohiuddin 50 0.8× 58 2.1× 41 2.0× 49 3.5× 5 0.4× 19 277
Mubarak Hussaini Ahmad 17 0.3× 36 1.3× 23 1.1× 23 1.6× 49 3.8× 31 245
Warathit Semmarath 37 0.6× 25 0.9× 36 1.8× 69 4.9× 22 1.7× 17 292
Farzana Kausar 21 0.4× 13 0.5× 17 0.8× 18 1.3× 2 0.2× 20 182
Jan Kubeš 27 0.5× 14 0.5× 60 3.0× 56 4.0× 8 0.6× 21 283

Countries citing papers authored by Sourav Sarker

Since Specialization
Citations

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

Fields of papers citing papers by Sourav Sarker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sourav Sarker

This figure shows the co-authorship network connecting the top 25 collaborators of Sourav Sarker. A scholar is included among the top collaborators of Sourav Sarker 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 Sourav Sarker. Sourav Sarker 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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