Parastoo Alinia
- Biomedical Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Co-authors
- Hassan GhasemzadehRaffaele GravinaGiancarlo FortinoRamin FallahzadehRamyar SaeediArmin ShahrokniDiane J. CookMichael G. McDonell
- Topics
- Context-Aware Activity Recognition Systems (11 papers)Anomaly Detection Techniques and Applications (4 papers)Non-Invasive Vital Sign Monitoring (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Networks and CommunicationsHuman-Computer Interaction
- Partner nations
- United StatesItaly
In The Last Decade
Parastoo Alinia
15 papers receiving 834 citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Biomedical Engineering 317
- Computer Vision and Pattern Recognition 276
- Computer Networks and Communications 232
- Artificial Intelligence 162
- Electrical and Electronic Engineering 108
Countries citing papers authored by Parastoo Alinia
This map shows the geographic impact of Parastoo Alinia'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 Parastoo Alinia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Parastoo Alinia more than expected).
Fields of papers citing papers by Parastoo Alinia
This network shows the impact of papers produced by Parastoo Alinia. 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 Parastoo Alinia. The network helps show where Parastoo Alinia may publish in the future.
Co-authorship network of co-authors of Parastoo Alinia
This figure shows the co-authorship network connecting the top 25 collaborators of Parastoo Alinia. A scholar is included among the top collaborators of Parastoo Alinia 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 Parastoo Alinia. Parastoo Alinia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 20 | |
| 4 | 14 | |
| 5 | 12 | |
| 6 | 10 | |
| 7 | 8 | |
| 8 | 1 | |
| 9 | 60 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | Multi-sensor fusion in body sensor networks: State-of-the-art and research challengesbreakdown → | 677 |
| 13 | 13 | |
| 14 | 18 | |
| 15 | 17 |
About Parastoo Alinia
Parastoo Alinia is a scholar working on Computer Vision and Pattern Recognition, Computer Science Applications and Complementary and alternative medicine, having authored 15 papers that have together received 859 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (11 papers), Anomaly Detection Techniques and Applications (4 papers) and Non-Invasive Vital Sign Monitoring (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (276 citations), Computer Networks and Communications (232 citations) and Human-Computer Interaction (50 citations). Parastoo Alinia has collaborated with scholars based in United States and Italy. Frequent co-authors include Hassan Ghasemzadeh, Raffaele Gravina, Giancarlo Fortino, Ramin Fallahzadeh, Ramyar Saeedi, Armin Shahrokni, Diane J. Cook, Michael G. McDonell, Michael J. Cleveland and Bobak J. Mortazavi. Their work appears in journals such as Sensors, Information Fusion and IEEE Sensors Journal.
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.