Nidhi Parikh

58 total papers · 455 total citations
25 papers, 227 citations indexed

About

Nidhi Parikh is a scholar working on Epidemiology, Modeling and Simulation and Artificial Intelligence. According to data from OpenAlex, Nidhi Parikh has authored 25 papers receiving a total of 227 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, Devaki A. Kelkar, Madhav Marathe, Madhura Kulkarni, Stephen Eubank and Moustafa Youssef 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

Nidhi Parikh

22 papers receiving 219 citations

Author Peers

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

Author Last Decade Papers Cites
Nidhi Parikh 64 63 37 33 26 25 227
Blessing Ogbuokiri 105 1.6× 33 0.5× 6 0.2× 28 0.8× 12 0.5× 18 269
Demetris Avraam 37 0.6× 35 0.6× 4 0.1× 10 0.3× 18 0.7× 23 193
Yannet Interian 45 0.7× 63 1.0× 39 1.1× 16 0.5× 4 0.2× 16 330
Xiaolei Huang 134 2.1× 55 0.9× 13 0.4× 22 0.7× 26 1.0× 24 269
Yiwang Zhou 18 0.3× 11 0.2× 18 0.5× 55 1.7× 8 0.3× 21 325
William Waites 79 1.2× 16 0.3× 8 0.2× 35 1.1× 25 1.0× 24 269
Aniruddha Adiga 69 1.1× 11 0.2× 18 0.5× 52 1.6× 9 0.3× 21 321
Fred Lu 52 0.8× 27 0.4× 11 0.3× 184 5.6× 19 0.7× 20 324
K. S. M. Tozammel Hossain 105 1.6× 45 0.7× 7 0.2× 68 2.1× 6 0.2× 15 231
Skyler Speakman 103 1.6× 10 0.2× 18 0.5× 36 1.1× 5 0.2× 23 181

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).

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.

Co-authorship network of co-authors of Nidhi Parikh

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