Natasha Fernandes

59 total papers · 456 total citations
22 papers, 227 citations indexed

About

Natasha Fernandes is a scholar working on Artificial Intelligence, Sociology and Political Science and Neurology. According to data from OpenAlex, Natasha Fernandes has authored 22 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Sociology and Political Science and 3 papers in Neurology. Recurrent topics in Natasha Fernandes's work include Privacy-Preserving Technologies in Data (9 papers), Privacy, Security, and Data Protection (4 papers) and Internet Traffic Analysis and Secure E-voting (4 papers). Natasha Fernandes is often cited by papers focused on Privacy-Preserving Technologies in Data (9 papers), Privacy, Security, and Data Protection (4 papers) and Internet Traffic Analysis and Secure E-voting (4 papers). Natasha Fernandes collaborates with scholars based in Australia, Brazil and Canada. Natasha Fernandes's co-authors include Diana Hopper, Garry T. Allison, Byron G. Spencer, Dianne Bryant, Leonard O’Sullivan, Annabelle McIver, Marianne Unger, Mário S. Alvim, Yona Lunsky and Christina Maeda Takiya and has published in prestigious journals such as Clinical Orthopaedics and Related Research, Journal of Autism and Developmental Disorders and Cell and Tissue Research.

In The Last Decade

Natasha Fernandes

21 papers receiving 218 citations

Author Peers

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

Author						Papers	Cites
Natasha Fernandes	85	58	41	29	27	22	227
Alvydas Juocevičius	21 0.2×	28 0.5×	43 1.0×	92 3.2×	26 1.0×	30	305
Christian Fugl Hansen	102 1.2×	39 0.7×	140 3.4×	18 0.6×	13 0.5×	19	265
Syed Ahmed Hassan	20 0.2×	33 0.6×	25 0.6×	31 1.1×	24 0.9×	21	295
Paula Postigo-Martín	21 0.2×	13 0.2×	39 1.0×	37 1.3×	18 0.7×	28	286
Pi-Shan Hsu	108 1.3×	10 0.2×	31 0.8×	30 1.0×	13 0.5×	34	319
Emma Mitchell	91 1.1×	20 0.3×	33 0.8×	7 0.2×	15 0.6×	19	313
Matthias Walle	63 0.7×	31 0.5×	33 0.8×	8 0.3×	7 0.3×	15	190
Dootchai Chaiwanichsiri	101 1.2×	83 1.4×	45 1.1×	68 2.3×	29 1.1×	20	294
Vidmantas Alekna	98 1.2×	26 0.4×	54 1.3×	62 2.1×	17 0.6×	32	330
José Antonio García-Vidal	58 0.7×	32 0.6×	59 1.4×	33 1.1×	30 1.1×	36	328

Countries citing papers authored by Natasha Fernandes

Since Specialization

Citations

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

Fields of papers citing papers by Natasha Fernandes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natasha Fernandes

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