Bahareh Nikpour

About

Bahareh Nikpour is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Bahareh Nikpour has authored 10 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Bahareh Nikpour’s work include Machine Learning and Data Classification (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Imbalanced Data Classification Techniques (4 papers). Bahareh Nikpour is often cited by papers focused on Machine Learning and Data Classification (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Imbalanced Data Classification Techniques (4 papers). Bahareh Nikpour collaborates with scholars based in Canada and Iran. Bahareh Nikpour's co-authors include Hossein Nezamabadi‐pour, Narges Armanfard, Shima Kashef, Sana Jahanshahi‐Anbuhi, Carolina Camargo, Zubi Sadiq, Selena M. Sagan, Jason J. LeBlanc and Seyed Hamid Safiabadi Tali and has published in prestigious journals such as Clinical Microbiology Reviews, Expert Systems with Applications and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Bahareh Nikpour i

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Fields of papers citing papers by Bahareh Nikpour

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Bahareh Nikpour

Since Specialization

Citations

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