Tayebeh Bahreini

About

Tayebeh Bahreini is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Tayebeh Bahreini has authored 8 papers receiving a total of 193 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Networks and Communications, 2 papers in Electrical and Electronic Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Tayebeh Bahreini’s work include IoT and Edge/Fog Computing (4 papers), Quantum Information and Cryptography (2 papers) and Scheduling and Optimization Algorithms (2 papers). Tayebeh Bahreini is often cited by papers focused on IoT and Edge/Fog Computing (4 papers), Quantum Information and Cryptography (2 papers) and Scheduling and Optimization Algorithms (2 papers). Tayebeh Bahreini collaborates with scholars based in United States and Iran. Tayebeh Bahreini's co-authors include Daniel Grosu, Hossein Badri and Kai Yang and has published in prestigious journals such as Computers & Operations Research, Annals of Operations Research and IEEE Transactions on Parallel and Distributed Systems.

In The Last Decade

Co-authorship network of co-authors of Tayebeh Bahreini i

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Fields of papers citing papers by Tayebeh Bahreini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tayebeh Bahreini

Since Specialization

Citations

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