Valeria Nikolaenko

23 total papers · 1.6k total citations
9 papers, 585 citations indexed

About

Valeria Nikolaenko is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Valeria Nikolaenko has authored 9 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Computational Theory and Mathematics and 2 papers in Organic Chemistry. Recurrent topics in Valeria Nikolaenko's work include Cryptography and Data Security (5 papers), Privacy-Preserving Technologies in Data (2 papers) and Cryptographic Implementations and Security (2 papers). Valeria Nikolaenko is often cited by papers focused on Cryptography and Data Security (5 papers), Privacy-Preserving Technologies in Data (2 papers) and Cryptographic Implementations and Security (2 papers). Valeria Nikolaenko collaborates with scholars based in United States, France and Russia. Valeria Nikolaenko's co-authors include Udi Weinsberg, Nina Taft, Stratis Ioannidis, Marc Jóye, Dan Boneh, Joppe W. Bos, Craig Costello, Douglas Stebila, Michael Naehrig and Ananth Raghunathan and has published in prestigious journals such as Human Molecular Genetics, Communications Biology and Journal of Mathematical Sciences.

In The Last Decade

Valeria Nikolaenko

7 papers receiving 571 citations

Author Peers

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

Author						Papers	Cites
Valeria Nikolaenko	532	164	69	66	64	9	585
Zhicong Huang	477 0.9×	99 0.6×	35 0.5×	68 1.0×	56 0.9×	26	563
Zhijun Zhan	522 1.0×	136 0.8×	25 0.4×	53 0.8×	47 0.7×	8	695
Yousef Elmehdwi	427 0.8×	187 1.1×	85 1.2×	48 0.7×	67 1.0×	5	517
Sameer Wagh	472 0.9×	81 0.5×	48 0.7×	27 0.4×	46 0.7×	13	533
Russell Paulet	474 0.9×	139 0.8×	38 0.6×	36 0.5×	75 1.2×	15	521
Hamouda Chantar	334 0.6×	134 0.8×	67 1.0×	66 1.0×	48 0.8×	13	496
Jian Liu	519 1.0×	247 1.5×	75 1.1×	33 0.5×	113 1.8×	23	696
Michael Yu Zhu	509 1.0×	142 0.9×	29 0.4×	40 0.6×	58 0.9×	7	579
Mukund Sundararajan	426 0.8×	70 0.4×	43 0.6×	33 0.5×	89 1.4×	13	535
Hao Yin	231 0.4×	49 0.3×	74 1.1×	42 0.6×	86 1.3×	12	514

Countries citing papers authored by Valeria Nikolaenko

Since Specialization

Citations

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

Fields of papers citing papers by Valeria Nikolaenko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valeria Nikolaenko

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