Ramyar Saeedi

22 total papers · 506 total citations
20 papers, 382 citations indexed

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 20 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 7 papers in Biomedical Engineering. Recurrent topics in Ramyar Saeedi's work include Context-Aware Activity Recognition Systems (16 papers), Anomaly Detection Techniques and Applications (6 papers) and Non-Invasive Vital Sign Monitoring (5 papers). Ramyar Saeedi is often cited by papers focused on Context-Aware Activity Recognition Systems (16 papers), Anomaly Detection Techniques and Applications (6 papers) and Non-Invasive Vital Sign Monitoring (5 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, Parastoo Alinia, Ramin Fallahzadeh, K. Venkatasubramanian, Janet Purath, Anurag K. Srivastava and Kevin L. Davies and has published in prestigious journals such as Sensors, IEEE Transactions on Industrial Informatics and IEEE Sensors Journal.

In The Last Decade

Ramyar Saeedi

20 papers receiving 376 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ramyar Saeedi	213	123	123	82	77	20	382
Jie Wan	178 0.8×	97 0.8×	54 0.4×	120 1.5×	202 2.6×	25	424
Ahmed Kattan	146 0.7×	119 1.0×	188 1.5×	29 0.4×	66 0.9×	30	445
Sreenivasan Ramasamy Ramamurthy	226 1.1×	84 0.7×	95 0.8×	37 0.5×	63 0.8×	20	344
Martin Hanneghan	146 0.7×	64 0.5×	72 0.6×	19 0.2×	113 1.5×	27	384
Tayeb Lemlouma	192 0.9×	57 0.5×	66 0.5×	65 0.8×	177 2.3×	21	390
Lukas Köping	280 1.3×	116 0.9×	113 0.9×	87 1.1×	99 1.3×	9	384
Xing Su	206 1.0×	78 0.6×	87 0.7×	65 0.8×	116 1.5×	22	419
Edmond Mitchell	175 0.8×	175 1.4×	53 0.4×	40 0.5×	53 0.7×	12	371
Harish Haresamudram	273 1.3×	93 0.8×	126 1.0×	32 0.4×	55 0.7×	16	334
Sawsan M. Mahmoud	232 1.1×	25 0.2×	122 1.0×	78 1.0×	89 1.2×	30	438

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).

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.

Co-authorship network of co-authors of Ramyar Saeedi

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

All Works

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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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