Ram Singh

41 total papers · 535 total citations
23 papers, 326 citations indexed

About

Ram Singh is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Infectious Diseases. According to data from OpenAlex, Ram Singh has authored 23 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Public Health, Environmental and Occupational Health, 14 papers in Modeling and Simulation and 4 papers in Infectious Diseases. Recurrent topics in Ram Singh's work include Mathematical and Theoretical Epidemiology and Ecology Models (15 papers), Fractional Differential Equations Solutions (10 papers) and COVID-19 epidemiological studies (10 papers). Ram Singh is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (15 papers), Fractional Differential Equations Solutions (10 papers) and COVID-19 epidemiological studies (10 papers). Ram Singh collaborates with scholars based in India, Taiwan and Saudi Arabia. Ram Singh's co-authors include Praveen Agarwal, Naveen Sharma, Jagdev Singh, Eric Okyere, Thabet Abdeljawad, Oscar Castillo, Amit Kant Pandit, Sandeep Chauhan, Atul Sachdev and Sanjay D’Cruz and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and The Science of The Total Environment.

In The Last Decade

Ram Singh

20 papers receiving 307 citations

Author Peers

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

Author Last Decade Papers Cites
Ram Singh 237 189 63 31 26 23 326
Maria Vittoria Barbarossa 158 0.7× 102 0.5× 77 1.2× 53 1.7× 17 0.7× 21 302
Emmanuel Addai 249 1.1× 183 1.0× 54 0.9× 30 1.0× 8 0.3× 20 366
Francesca Scarabel 189 0.8× 88 0.5× 77 1.2× 29 0.9× 24 0.9× 29 315
Hailay Weldegiorgis Berhe 223 0.9× 210 1.1× 74 1.2× 72 2.3× 13 0.5× 17 322
Mouhcine Tilioua 182 0.8× 157 0.8× 25 0.4× 52 1.7× 27 1.0× 44 305
Fehaid Salem Alshammari 209 0.9× 157 0.8× 27 0.4× 49 1.6× 55 2.1× 50 364
Khondoker Nazmoon Nabi 237 1.0× 135 0.7× 53 0.8× 10 0.3× 30 1.2× 9 310
Abdelfatah Kouidere 174 0.7× 120 0.6× 87 1.4× 36 1.2× 16 0.6× 23 279
Hegagi Mohamed Ali 238 1.0× 155 0.8× 22 0.3× 38 1.2× 61 2.3× 30 332
Ismail Gad Ameen 231 1.0× 166 0.9× 17 0.3× 34 1.1× 52 2.0× 21 326

Countries citing papers authored by Ram Singh

Since Specialization
Citations

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

Fields of papers citing papers by Ram Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ram Singh

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