Sarbhan Singh

39 total papers · 606 total citations
27 papers, 358 citations indexed

About

Sarbhan Singh is a scholar working on Modeling and Simulation, Infectious Diseases and Economics and Econometrics. According to data from OpenAlex, Sarbhan Singh has authored 27 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Modeling and Simulation, 9 papers in Infectious Diseases and 9 papers in Economics and Econometrics. Recurrent topics in Sarbhan Singh's work include COVID-19 epidemiological studies (14 papers), COVID-19 Pandemic Impacts (9 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). Sarbhan Singh is often cited by papers focused on COVID-19 epidemiological studies (14 papers), COVID-19 Pandemic Impacts (9 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). Sarbhan Singh collaborates with scholars based in Malaysia, Singapore and Japan. Sarbhan Singh's co-authors include Rafdzah Ahmad Zaki, Nik Daliana Nik Farid, Balvinder Singh Gill, Hishamshah Mohd Ibrahim, Sarat C. Dass, Tahir Aris, Sumarni Mohd Ghazali, Yoon Ling Cheong, Noor Hisham Abdullah and Kalaiarasu M. Peariasamy and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Environmental Research and Public Health.

In The Last Decade

Sarbhan Singh

23 papers receiving 352 citations

Author Peers

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

Author Last Decade Papers Cites
Sarbhan Singh 142 112 72 65 64 27 358
Ian Christopher N. Rocha 79 0.6× 97 0.9× 83 1.2× 46 0.7× 117 1.8× 28 388
Wafa Dhouib 119 0.8× 89 0.8× 29 0.4× 49 0.8× 130 2.0× 33 389
Nicole Zviedrite 141 1.0× 130 1.2× 22 0.3× 75 1.2× 51 0.8× 10 363
Paul Adepoju 85 0.6× 44 0.4× 101 1.4× 59 0.9× 154 2.4× 26 397
Rim Ghammam 89 0.6× 77 0.7× 53 0.7× 42 0.6× 71 1.1× 22 301
Mehak Arora 82 0.6× 106 0.9× 22 0.3× 91 1.4× 67 1.0× 17 361
Atiya Kamal 43 0.3× 77 0.7× 64 0.9× 44 0.7× 47 0.7× 31 370
Jomana Alsulaiman 72 0.5× 210 1.9× 49 0.7× 54 0.8× 80 1.3× 22 385
Atefeh Vaezi 49 0.3× 73 0.7× 103 1.4× 22 0.3× 70 1.1× 40 354
Mahsa Moosavi 34 0.2× 106 0.9× 48 0.7× 38 0.6× 37 0.6× 24 303

Countries citing papers authored by Sarbhan Singh

Since Specialization
Citations

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

Fields of papers citing papers by Sarbhan Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarbhan Singh

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