Nitu Kumari

31 papers and 377 indexed citations i.

About

Nitu Kumari is a scholar working on Public Health, Environmental and Occupational Health, Genetics and Modeling and Simulation. According to data from OpenAlex, Nitu Kumari has authored 31 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Public Health, Environmental and Occupational Health, 15 papers in Genetics and 12 papers in Modeling and Simulation. Recurrent topics in Nitu Kumari’s work include Mathematical and Theoretical Epidemiology and Ecology Models (21 papers), Evolution and Genetic Dynamics (15 papers) and COVID-19 epidemiological studies (8 papers). Nitu Kumari is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (21 papers), Evolution and Genetic Dynamics (15 papers) and COVID-19 epidemiological studies (8 papers). Nitu Kumari collaborates with scholars based in India, United States and Algeria. Nitu Kumari's co-authors include Festus Abiodun Oguntolu, Olumuyiwa James Peter, Musa Rabiu, Kayode Oshinubi, Sandeep Sharma, Krishna Pada Das, Abdullahi Yusuf, Mayowa M. Ojo, Ravi P. Agarwal and Nagendra Singh Chauhan and has published in prestigious journals such as Molecules, Chaos Solitons & Fractals and Applied Mathematics and Computation.

In The Last Decade

Co-authorship network of co-authors of Nitu Kumari i

Fields of papers citing papers by Nitu Kumari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nitu Kumari

Since Specialization
Citations

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

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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2025