Ramyar Saeedi

510 total citations
20 papers, 381 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 381 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, Anurag K. Srivastava, Janet Purath, Kevin L. Davies 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

Ramyar Saeedi

20 papers receiving 375 citations

Peers

Ramyar Saeedi

CVPR

EEE

CNC

Niall Twomey United Kingdom

Abhinav Parate United States

Jie Wan China

Fernando Flores-Mangas Canada

Gautam Thatte United States

Gabriele Civitarese Italy

Vito Janko Slovenia

Sreenivasan Ramasamy Ramamurthy United States

Sungyong Lee South Korea

Lukas Köping Germany

Niall Twomey United Kingdom

Ramyar Saeedi

280 ×1.3

CVPR

114 ×0.9

109 ×0.9

86 ×1.0

EEE

154 ×2.0

CNC

Citations per year, relative to Ramyar Saeedi Ramyar Saeedi (= 1×) peers Niall Twomey

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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20 of 20 papers shown

Saeedi, Ramyar, et al.. (2021). An Adaptive Machine Learning Framework for Behind-the-Meter Load/PV Disaggregation. IEEE Transactions on Industrial Informatics. 17(10). 7060–7069. 37 indexed citations

Saeedi, Ramyar, et al.. (2020). Collaborative Multi-Expert Active Learning for Mobile Health Monitoring: Architecture, Algorithms, and Evaluation. Sensors. 20(7). 1932–1932. 7 indexed citations

Saeedi, Ramyar, et al.. (2019). Multi-Sensor Time-Series Classification for Activity Tracking Under Variable Length. IEEE Sensors Journal. 20(5). 2701–2709. 10 indexed citations

Saeedi, Ramyar, et al.. (2018). Personalized Human Activity Recognition using Wearables: A Manifold Learning-based Knowledge Transfer. PubMed. 2018. 1193–1196. 22 indexed citations

Saeedi, Ramyar, et al.. (2018). Synthetic Sensor Data Generation for Health Applications: A Supervised Deep Learning Approach. PubMed. 2018. 1164–1167. 28 indexed citations

Saeedi, Ramyar & Assefaw H. Gebremedhin. (2018). A Signal-Level Transfer Learning Framework for Autonomous Reconfiguration of Wearable Systems. IEEE Transactions on Mobile Computing. 19(3). 513–527. 10 indexed citations

Saeedi, Ramyar, et al.. (2017). A closed-loop deep learning architecture for robust activity recognition using wearable sensors. 473–479. 14 indexed citations

Saeedi, Ramyar, et al.. (2017). Co-MEAL. 432–441. 7 indexed citations

Saeedi, Ramyar, Ramin Fallahzadeh, Parastoo Alinia, & Hassan Ghasemzadeh. (2016). An Energy-Efficient Computational Model for Uncertainty Management in Dynamically Changing Networked Wearables. 46–51. 13 indexed citations

10.

Saeedi, Ramyar, Hassan Ghasemzadeh, & Assefaw H. Gebremedhin. (2016). Transfer learning algorithms for autonomous reconfiguration of wearable systems. 563–569. 14 indexed citations

11.

Alinia, Parastoo, et al.. (2016). A Reliable and Reconfigurable Signal Processing Framework for Estimation of Metabolic Equivalent of Task in Wearable Sensors. IEEE Journal of Selected Topics in Signal Processing. 10(5). 842–853. 18 indexed citations

12.

Shahrokni, Armin, et al.. (2015). Older People with Access to Hand-Held Devices: Who Are They?. Telemedicine Journal and e-Health. 21(7). 550–556. 20 indexed citations

13.

Fallahzadeh, Ramin, et al.. (2015). Smart-Cuff: A wearable bio-sensing platform with activity-sensitive information quality assessment for monitoring ankle edema. 57–62. 15 indexed citations

14.

Alinia, Parastoo, et al.. (2015). Impact of sensor misplacement on estimating metabolic equivalent of task with wearables. 1–6. 17 indexed citations

15.

Doty, Kyle C., et al.. (2015). Explicit estimation-error-probability computation and sensor design for flag Hidden Markov Models. 50. 1–6. 4 indexed citations

16.

Ghasemzadeh, Hassan, Navid Amini, Ramyar Saeedi, & Majid Sarrafzadeh. (2014). Power-Aware Computing in Wearable Sensor Networks: An Optimal Feature Selection. IEEE Transactions on Mobile Computing. 14(4). 800–812. 73 indexed citations

17.

Simon, Christa, et al.. (2014). Digital memory notebook. 1201–1208. 2 indexed citations

18.

Saeedi, Ramyar, Navid Amini, & Hassan Ghasemzadeh. (2014). Patient-centric on-body sensor localization in smart health systems. 2014 48th Asilomar Conference on Signals, Systems and Computers. 2081–2085. 19 indexed citations

19.

Saeedi, Ramyar, et al.. (2014). Cost-sensitive feature selection for on-body sensor localization. 833–842. 25 indexed citations

20.

Saeedi, Ramyar, Janet Purath, K. Venkatasubramanian, & Hassan Ghasemzadeh. (2014). Toward seamless wearable sensing: Automatic on-body sensor localization for physical activity monitoring. PubMed. 2014. 5385–5388. 26 indexed citations

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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