Luan Ibraimi

About

Luan Ibraimi is a scholar working on Artificial Intelligence, Information Systems and Industrial relations. According to data from OpenAlex, Luan Ibraimi has authored 2 papers receiving a total of 68 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 1 paper in Information Systems and 0 papers in Industrial relations. Recurrent topics in Luan Ibraimi’s work include Cryptography and Data Security (1 paper), Privacy-Preserving Technologies in Data (1 paper) and Cloud Data Security Solutions (1 paper). Luan Ibraimi is often cited by papers focused on Cryptography and Data Security (1 paper), Privacy-Preserving Technologies in Data (1 paper) and Cloud Data Security Solutions (1 paper). Luan Ibraimi collaborates with scholars based in The Netherlands. Luan Ibraimi's co-authors include Muhammad Asim and Milan Petković and has published in prestigious journals such as Data Archiving and Networked Services (DANS).

In The Last Decade

Co-authorship network of co-authors of Luan Ibraimi i

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Fields of papers citing papers by Luan Ibraimi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Luan Ibraimi

Since Specialization

Citations

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

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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