Ramin Fallahzadeh

1.4k total citations
34 papers, 454 citations indexed

About

Ramin Fallahzadeh is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Ramin Fallahzadeh has authored 34 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 11 papers in Biomedical Engineering and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Ramin Fallahzadeh's work include Context-Aware Activity Recognition Systems (16 papers), Green IT and Sustainability (6 papers) and Mobile Health and mHealth Applications (4 papers). Ramin Fallahzadeh is often cited by papers focused on Context-Aware Activity Recognition Systems (16 papers), Green IT and Sustainability (6 papers) and Mobile Health and mHealth Applications (4 papers). Ramin Fallahzadeh collaborates with scholars based in United States, Iran and Canada. Ramin Fallahzadeh's co-authors include Hassan Ghasemzadeh, Parastoo Alinia, Armin Shahrokni, Diane J. Cook, Josué Pagán, Ramyar Saeedi, Enrique Soto‐Pérez‐de‐Celis, José M. Moya, José L. Ayala and José L. Risco‐Martín and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and IEEE Sensors Journal.

In The Last Decade

Ramin Fallahzadeh

34 papers receiving 447 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ramin Fallahzadeh United States 14 162 116 73 62 61 34 454
Christian Fischer Pedersen Denmark 10 200 1.2× 81 0.7× 149 2.0× 64 1.0× 68 1.1× 46 469
Amaya Arcelus Canada 12 166 1.0× 184 1.6× 61 0.8× 55 0.9× 23 0.4× 21 452
Beverely Turner United States 10 180 1.1× 70 0.6× 66 0.9× 43 0.7× 49 0.8× 15 371
Matthias Gietzelt Germany 20 353 2.2× 236 2.0× 81 1.1× 54 0.9× 73 1.2× 57 943
Gina Sprint United States 12 194 1.2× 89 0.8× 100 1.4× 47 0.8× 31 0.5× 30 529
Peter Leijdekkers Australia 13 148 0.9× 139 1.2× 141 1.9× 43 0.7× 142 2.3× 18 532
Saisakul Chernbumroong United Kingdom 10 380 2.3× 133 1.1× 145 2.0× 82 1.3× 35 0.6× 21 628
Guido Matrella Italy 14 159 1.0× 234 2.0× 65 0.9× 135 2.2× 32 0.5× 45 589
Massimiliano Donati Italy 10 90 0.6× 122 1.1× 99 1.4× 80 1.3× 31 0.5× 41 452
Matteo Gadaleta United States 13 227 1.4× 277 2.4× 83 1.1× 109 1.8× 58 1.0× 23 968

Countries citing papers authored by Ramin Fallahzadeh

Since Specialization
Citations

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

Fields of papers citing papers by Ramin Fallahzadeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramin Fallahzadeh

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

All Works

20 of 20 papers shown
1.
Mirzadeh, Seyed Iman, Ramin Fallahzadeh, Bryan Minor, et al.. (2022). Use of machine learning to predict medication adherence in individuals at risk for atherosclerotic cardiovascular disease. Smart Health. 26. 100328–100328. 6 indexed citations
2.
Fallahzadeh, Ramin, Ina A. Stelzer, Martin Becker, et al.. (2022). In‐silico generation of high‐dimensional immune response data in patients using a deep neural network. Cytometry Part A. 103(5). 392–404. 2 indexed citations
3.
Mirzadeh, Seyed Iman, et al.. (2021). LIDS: Mobile System to Monitor Type and Volume of Liquid Intake. IEEE Sensors Journal. 21(18). 20750–20763. 3 indexed citations
4.
Ganio, Edward A., Natalie Stanley, Jakob Einhaus, et al.. (2020). Preferential inhibition of adaptive immune system dynamics by glucocorticoids in patients after acute surgical trauma. Nature Communications. 11(1). 3737–3737. 17 indexed citations
5.
Alinia, Parastoo, Ramin Fallahzadeh, Christopher P. Connolly, & Hassan Ghasemzadeh. (2020). ParaLabel: Autonomous Parameter Learning for Cross-Domain Step Counting in Wearable Sensors. IEEE Sensors Journal. 20(23). 13867–13879. 8 indexed citations
6.
Pagán, Josué, Ramin Fallahzadeh, José L. Risco‐Martín, et al.. (2018). Toward Ultra-Low-Power Remote Health Monitoring: An Optimal and Adaptive Compressed Sensing Framework for Activity Recognition. IEEE Transactions on Mobile Computing. 18(3). 658–673. 34 indexed citations
7.
Fallahzadeh, Ramin, Hassan Ghasemzadeh, & Armin Shahrokni. (2018). Electronic Assessment of Physical Decline in Geriatric Cancer Patients. Current Oncology Reports. 20(3). 26–26. 7 indexed citations
8.
Alinia, Parastoo, et al.. (2017). How Accurate Is Your Activity Tracker? A Comparative Study of Step Counts in Low-Intensity Physical Activities. JMIR mhealth and uhealth. 5(8). e106–e106. 60 indexed citations
9.
Fallahzadeh, Ramin, Parastoo Alinia, & Hassan Ghasemzadeh. (2017). Learn-on-the-go: autonomous cross-subject context learning for internet-of-things applications. International Conference on Computer Aided Design. 360–367. 1 indexed citations
10.
Fallahzadeh, Ramin, et al.. (2017). Poster Abstract: A Beverage Intake Tracking System Based on Machine Learning Algorithms, and Ultrasonic and Color Sensors. Information Processing in Sensor Networks. 1 indexed citations
11.
12.
Fallahzadeh, Ramin, et al.. (2016). Glaucoma-Specific Gait Pattern Assessment Using Body-Worn Sensors. IEEE Sensors Journal. 16(16). 6406–6415. 14 indexed citations
13.
Ghasemzadeh, Hassan, Ramin Fallahzadeh, & Roozbeh Jafari. (2016). A Hardware-Assisted Energy-Efficient Processing Model for Activity Recognition Using Wearables. ACM Transactions on Design Automation of Electronic Systems. 21(4). 1–27. 14 indexed citations
14.
Fallahzadeh, Ramin & Hassan Ghasemzadeh. (2016). CyHOP: A generic framework for real-time power-performance optimization in networked wearable motion sensors. 428–431. 1 indexed citations
15.
Fallahzadeh, Ramin, et al.. (2016). Toward personalized and context-aware prompting for smartphone-based intervention. PubMed. 2016. 6010–6013. 14 indexed citations
16.
Evangelista, Lorraine S., Hassan Ghasemzadeh, Jung‐Ah Lee, et al.. (2016). Predicting adherence to use of remote health monitoring systems in a cohort of patients with chronic heart failure. Technology and Health Care. 25(3). 425–433. 4 indexed citations
17.
Fallahzadeh, Ramin, et al.. (2015). The Comparison of the Effects of Selective Pilate’s and Williams’ Exercises on Pain and Flexibility in Men with Chronic Non-Specific Low Back Pain: A Randomized Clinical Trial. SHILAP Revista de lepidopterología. 1 indexed citations
18.
Fallahzadeh, Ramin, et al.. (2015). Toward robust and platform-agnostic gait analysis. 1–6. 9 indexed citations
19.
20.
Fallahzadeh, Ramin, et al.. (2013). A novel test strategy and fault-tolerant routing algorithm for NoC routers. 133–136. 5 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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