Naomi Benger

558 total citations
2 papers, 11 citations indexed

About

Naomi Benger is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Algebra and Number Theory. According to data from OpenAlex, Naomi Benger has authored 2 papers receiving a total of 11 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Information Systems, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Algebra and Number Theory. Recurrent topics in Naomi Benger's work include Cryptography and Residue Arithmetic (2 papers), Analytic Number Theory Research (1 paper) and Chaos-based Image/Signal Encryption (1 paper). Naomi Benger is often cited by papers focused on Cryptography and Residue Arithmetic (2 papers), Analytic Number Theory Research (1 paper) and Chaos-based Image/Signal Encryption (1 paper). Naomi Benger collaborates with scholars based in Australia, China and Ireland. Naomi Benger's co-authors include Michael Scott and Kefei Chen and has published in prestigious journals such as Journal of Shanghai Jiaotong University (Science).

In The Last Decade

Naomi Benger

2 papers receiving 10 citations

Peers

Naomi Benger

IS

AI

GT

CVPR

CNC

Angela Robinson United States

Abdelwahab Heba Saudi Arabia

Lucas Hosseini France

Sartaj Singh India

Riccardo Campisano Brazil

Z. L. Hou China

Niklas Deckers Germany

M. Zhou China

Jae Woo Han South Korea

Rakesh Shivanna India

Angela Robinson United States

Naomi Benger

4 ×0.5

IS

7 ×0.9

AI

2 ×0.7

GT

2 ×0.7

CVPR

1 ×0.5

CNC

Citations per year, relative to Naomi Benger Naomi Benger (= 1×) peers Angela Robinson

Countries citing papers authored by Naomi Benger

Since Specialization

Citations

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

Fields of papers citing papers by Naomi Benger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naomi Benger

This figure shows the co-authorship network connecting the top 25 collaborators of Naomi Benger. A scholar is included among the top collaborators of Naomi Benger 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 Naomi Benger. Naomi Benger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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2 of 2 papers shown

1.

Benger, Naomi, et al.. (2018). A Note on the Behaviour of the Number Field Sieve in the Medium Prime Case: Smoothness of Norms. Journal of Shanghai Jiaotong University (Science). 23(1). 138–145. 1 indexed citations

2.

Benger, Naomi & Michael Scott. (2010). Constructing Tower Extensions of Finite Fields for Implementation of Pairing-Based Cryptography. 10 indexed citations

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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