Nina Mishra

59 total papers · 2.6k total citations
37 papers, 1.2k citations indexed

About

Nina Mishra is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Information Systems. According to data from OpenAlex, Nina Mishra has authored 37 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 6 papers in Statistical and Nonlinear Physics and 5 papers in Information Systems. Recurrent topics in Nina Mishra's work include Privacy-Preserving Technologies in Data (8 papers), Machine Learning and Algorithms (8 papers) and Cryptography and Data Security (8 papers). Nina Mishra is often cited by papers focused on Privacy-Preserving Technologies in Data (8 papers), Machine Learning and Algorithms (8 papers) and Cryptography and Data Security (8 papers). Nina Mishra collaborates with scholars based in United States, Israel and India. Nina Mishra's co-authors include Tom Fawcett, Krishnaram Kenthapadi, Leonard Pitt, Sudipto Guha, Aleksandra Korolova, Alexandros Ntoulas, Kobbi Nissim, Gourav Roy, Okke Schrijvers and Samuel Ieong and has published in prestigious journals such as SHILAP Revista de lepidopterología, Artificial Intelligence and Machine Learning.

In The Last Decade

Nina Mishra

36 papers receiving 1.1k citations

Author Peers

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

Author						Papers	Cites
Nina Mishra	834	232	187	164	146	37	1.2k
Grant Schoenebeck	516 0.6×	205 0.9×	230 1.2×	127 0.8×	92 0.6×	43	917
Udi Weinsberg	747 0.9×	303 1.3×	380 2.0×	146 0.9×	108 0.7×	36	1.1k
Charu C. Aggarwal	781 0.9×	181 0.8×	232 1.2×	166 1.0×	245 1.7×	25	1.3k
T-H. Hubert Chan	875 1.0×	264 1.1×	253 1.4×	68 0.4×	106 0.7×	71	1.3k
Linhong Zhu	501 0.6×	226 1.0×	254 1.4×	200 1.2×	143 1.0×	18	1.0k
Bert Huang	766 0.9×	112 0.5×	176 0.9×	76 0.5×	95 0.7×	50	1.3k
Feng Li	564 0.7×	300 1.3×	281 1.5×	176 1.1×	239 1.6×	96	995
Richard D. Lawrence	678 0.8×	162 0.7×	334 1.8×	82 0.5×	72 0.5×	45	1.4k
Kuiyu Chang	795 1.0×	133 0.6×	451 2.4×	84 0.5×	117 0.8×	45	1.1k
Atish Das Sarma	619 0.7×	541 2.3×	380 2.0×	181 1.1×	261 1.8×	43	1.4k

Countries citing papers authored by Nina Mishra

Since Specialization

Citations

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

Fields of papers citing papers by Nina Mishra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Mishra

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