Rina Kumari

36 total papers · 527 total citations
22 papers, 398 citations indexed

About

Rina Kumari is a scholar working on Molecular Biology, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Rina Kumari has authored 22 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Artificial Intelligence and 7 papers in Sociology and Political Science. Recurrent topics in Rina Kumari's work include Misinformation and Its Impacts (7 papers), Spam and Phishing Detection (6 papers) and Advanced biosensing and bioanalysis techniques (6 papers). Rina Kumari is often cited by papers focused on Misinformation and Its Impacts (7 papers), Spam and Phishing Detection (6 papers) and Advanced biosensing and bioanalysis techniques (6 papers). Rina Kumari collaborates with scholars based in India, Czechia and United States. Rina Kumari's co-authors include Asif Ekbal, Prolay Das, Tirthankar Ghosal, Kislay K. Sinha, Seema Singh, Sudhakar Tripathi, Ditipriya Sinha, Neeladri Das, Anil K. Bhowmick and Vipin Gupta and has published in prestigious journals such as Carbon, Journal of Colloid and Interface Science and Expert Systems with Applications.

In The Last Decade

Rina Kumari

21 papers receiving 388 citations

Author Peers

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

Author Last Decade Papers Cites
Rina Kumari 160 116 114 98 82 22 398
Xingyi Song 94 0.6× 157 1.4× 53 0.5× 42 0.4× 25 0.3× 31 444
Jiangfeng Zeng 70 0.4× 225 1.9× 126 1.1× 18 0.2× 11 0.1× 22 394
Jiawen Zhang 16 0.1× 122 1.1× 52 0.5× 38 0.4× 90 1.1× 46 411
Wensi Li 20 0.1× 209 1.8× 41 0.4× 83 0.8× 18 0.2× 27 425
Huaxiao Liu 9 0.1× 64 0.6× 141 1.2× 94 1.0× 50 0.6× 53 349
Ying Liu 43 0.3× 54 0.5× 27 0.2× 33 0.3× 22 0.3× 27 421
Tian Zhu 28 0.2× 30 0.3× 33 0.3× 88 0.9× 19 0.2× 33 386
Hui Chen 29 0.2× 82 0.7× 123 1.1× 129 1.3× 34 0.4× 26 388
Rahul Chatterjee 58 0.4× 55 0.5× 113 1.0× 13 0.1× 25 0.3× 18 343
John B. Smith 23 0.1× 84 0.7× 153 1.3× 19 0.2× 20 0.2× 16 411

Countries citing papers authored by Rina Kumari

Since Specialization
Citations

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

Fields of papers citing papers by Rina Kumari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rina Kumari

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