Nidhi Parikh

24 papers and 199 indexed citations i.

About

Nidhi Parikh is a scholar working on Epidemiology, Modeling and Simulation and Artificial Intelligence. According to data from OpenAlex, Nidhi Parikh has authored 24 papers receiving a total of 199 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 7 papers in Modeling and Simulation and 6 papers in Artificial Intelligence. Recurrent topics in Nidhi Parikh’s work include COVID-19 epidemiological studies (7 papers), Data-Driven Disease Surveillance (6 papers) and Complex Network Analysis Techniques (3 papers). Nidhi Parikh is often cited by papers focused on COVID-19 epidemiological studies (7 papers), Data-Driven Disease Surveillance (6 papers) and Complex Network Analysis Techniques (3 papers). Nidhi Parikh collaborates with scholars based in United States, India and Türkiye. Nidhi Parikh's co-authors include B. Igelnik, Lenwood S. Heath, Samarth Swarup, Geoffrey Fairchild, Ashlynn R. Daughton, Madhav Marathe, Madhura Kulkarni, Devaki A. Kelkar, Moustafa Youssef and Stephen Eubank and has published in prestigious journals such as Scientific Reports, Journal of Medical Internet Research and Physica A Statistical Mechanics and its Applications.

In The Last Decade

Co-authorship network of co-authors of Nidhi Parikh i

Fields of papers citing papers by Nidhi Parikh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nidhi Parikh

Since Specialization
Citations

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