Ramyar Saeedi

15 papers and 267 indexed citations i.

About

Ramyar Saeedi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Ramyar Saeedi has authored 15 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 6 papers in Biomedical Engineering. Recurrent topics in Ramyar Saeedi’s work include Context-Aware Activity Recognition Systems (12 papers), Anomaly Detection Techniques and Applications (6 papers) and Non-Invasive Vital Sign Monitoring (4 papers). Ramyar Saeedi is often cited by papers focused on Context-Aware Activity Recognition Systems (12 papers), Anomaly Detection Techniques and Applications (6 papers) and Non-Invasive Vital Sign Monitoring (4 papers). Ramyar Saeedi collaborates with scholars based in United States. Ramyar Saeedi's co-authors include Hassan Ghasemzadeh, Assefaw H. Gebremedhin, Navid Amini, Majid Sarrafzadeh, Ramin Fallahzadeh, Parastoo Alinia, Kevin L. Davies, Anurag K. Srivastava, Armin Shahrokni and K. Venkatasubramanian and has published in prestigious journals such as Sensors, IEEE Transactions on Industrial Informatics and IEEE Sensors Journal.

In The Last Decade

Co-authorship network of co-authors of Ramyar Saeedi i

Fields of papers citing papers by Ramyar Saeedi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ramyar Saeedi

Since Specialization
Citations

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