Farahnaz Akrami

2 papers and 96 indexed citations
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About

Farahnaz Akrami is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Farahnaz Akrami has authored 2 papers receiving a total of 96 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Signal Processing. Recurrent topics in Farahnaz Akrami’s work include Advanced Vision and Imaging (1 paper), Video Analysis and Summarization (1 paper) and Data Quality and Management (1 paper). Farahnaz Akrami is often cited by papers focused on Advanced Vision and Imaging (1 paper), Video Analysis and Summarization (1 paper) and Data Quality and Management (1 paper). Farahnaz Akrami collaborates with scholars based in Iran, China and United States. Farahnaz Akrami's co-authors include Muhao Chen, Chengkai Li, Wei Hu, Zequn Sun, Qinghe Zhang, Chengming Wang and Farzad Zargari and has published in prestigious journals such as Proceedings of the VLDB Endowment and Multimedia Tools and Applications.

In The Last Decade

Co-authorship network of co-authors of Farahnaz Akrami

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

Farahnaz Akrami

2 papers receiving 91 citations

Fields of papers citing papers by Farahnaz Akrami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Farahnaz Akrami

Since Specialization
Citations

This map shows the geographic impact of Farahnaz Akrami'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 Farahnaz Akrami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Farahnaz Akrami 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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2026