Cherita Corbett

40 total papers · 1.1k total citations
27 papers, 708 citations indexed

About

Cherita Corbett is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Cherita Corbett has authored 27 papers receiving a total of 708 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Networks and Communications, 17 papers in Artificial Intelligence and 4 papers in Information Systems. Recurrent topics in Cherita Corbett's work include Internet Traffic Analysis and Secure E-voting (17 papers), Network Security and Intrusion Detection (12 papers) and Wireless Networks and Protocols (8 papers). Cherita Corbett is often cited by papers focused on Internet Traffic Analysis and Secure E-voting (17 papers), Network Security and Intrusion Detection (12 papers) and Wireless Networks and Protocols (8 papers). Cherita Corbett collaborates with scholars based in United States and Finland. Cherita Corbett's co-authors include Jeffrey S. Chavis, Anna L. Buczak, Daniel S. Berman, Raheem Beyah, John A. Copeland, Lanier Watkins, Ke Gao, Dipak Ghosal, Yali Liu and Biswanath Mukherjee and has published in prestigious journals such as IEEE Security & Privacy, EURASIP Journal on Wireless Communications and Networking and Information.

In The Last Decade

Cherita Corbett

27 papers receiving 656 citations

Hit Papers

A Survey of Deep Learning... 2019 2026 2021 2023 2019 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Cherita Corbett 514 442 300 166 99 27 708
Hisham Alasmary 405 0.8× 287 0.6× 248 0.8× 241 1.5× 88 0.9× 44 673
Yizhen Jia 500 1.0× 298 0.7× 236 0.8× 203 1.2× 102 1.0× 12 674
Nataliia Neshenko 449 0.9× 237 0.5× 254 0.8× 240 1.4× 106 1.1× 12 666
Moreno Ambrosin 488 0.9× 427 1.0× 145 0.5× 170 1.0× 105 1.1× 22 721
Ditipriya Sinha 435 0.8× 313 0.7× 227 0.8× 109 0.7× 56 0.6× 45 625
Kangfeng Zheng 628 1.2× 597 1.4× 308 1.0× 131 0.8× 90 0.9× 32 856
Eyal Ronen 352 0.7× 364 0.8× 291 1.0× 200 1.2× 123 1.2× 22 706
Calvin Ko 795 1.5× 309 0.7× 307 1.0× 150 0.9× 139 1.4× 17 893
Yinhao Xiao 396 0.8× 320 0.7× 136 0.5× 405 2.4× 81 0.8× 22 738
Ons Aouedi 400 0.8× 411 0.9× 99 0.3× 109 0.7× 85 0.9× 22 669

Countries citing papers authored by Cherita Corbett

Since Specialization
Citations

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

Fields of papers citing papers by Cherita Corbett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cherita Corbett

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