Parastoo Alinia

1.1k total citations · 1 hit paper
15 papers, 859 citations indexed

About

Parastoo Alinia is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Parastoo Alinia has authored 15 papers receiving a total of 859 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 5 papers in Biomedical Engineering. Recurrent topics in Parastoo Alinia's work include Context-Aware Activity Recognition Systems (11 papers), Anomaly Detection Techniques and Applications (4 papers) and Non-Invasive Vital Sign Monitoring (3 papers). Parastoo Alinia is often cited by papers focused on Context-Aware Activity Recognition Systems (11 papers), Anomaly Detection Techniques and Applications (4 papers) and Non-Invasive Vital Sign Monitoring (3 papers). Parastoo Alinia collaborates with scholars based in United States and Italy. Parastoo Alinia's co-authors include Hassan Ghasemzadeh, Raffaele Gravina, Giancarlo Fortino, Ramin Fallahzadeh, Armin Shahrokni, Diane J. Cook, Ramyar Saeedi, Michael J. Cleveland, Michael G. McDonell and Patricia Pendry and has published in prestigious journals such as Sensors, Information Fusion and IEEE Sensors Journal.

In The Last Decade

Parastoo Alinia

15 papers receiving 834 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Multi-sensor fusion in body sensor networks: State-of-the-art and research challenges

2016 677 citations Raffaele Gravina, Parastoo Alinia et al. Information Fusion profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Parastoo Alinia United States	9	317	276	232	162	108	15	859
Nuno Pombo Portugal	20	279 0.9×	390 1.4×	239 1.0×	174 1.1×	125 1.2×	89	1.3k
Dan Istrate France	14	238 0.8×	267 1.0×	110 0.5×	125 0.8×	88 0.8×	73	850
Pekka Siirtola Finland	18	226 0.7×	457 1.7×	124 0.5×	163 1.0×	116 1.1×	58	967
Alberto Belli Italy	18	380 1.2×	377 1.4×	245 1.1×	150 0.9×	181 1.7×	71	1.1k
Jit Biswas Singapore	22	261 0.8×	520 1.9×	459 2.0×	200 1.2×	213 2.0×	93	1.3k
Claudia Villalonga Spain	12	217 0.7×	328 1.2×	267 1.2×	146 0.9×	189 1.8×	26	1.1k
Tan-Hsu Tan Taiwan	19	198 0.6×	479 1.7×	198 0.9×	175 1.1×	263 2.4×	95	1.2k
Anton Kos Slovenia	20	391 1.2×	206 0.7×	181 0.8×	147 0.9×	144 1.3×	91	1.2k
M. Alwan United States	13	443 1.4×	568 2.1×	142 0.6×	118 0.7×	161 1.5×	23	1.1k
Victor Cionca Ireland	10	284 0.9×	165 0.6×	294 1.3×	64 0.4×	208 1.9×	33	781

Countries citing papers authored by Parastoo Alinia

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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15 of 15 papers shown

Alinia, Parastoo, et al.. (2023). Model-Agnostic Structural Transfer Learning for Cross-Domain Autonomous Activity Recognition. Sensors. 23(14). 6337–6337. 3 indexed citations

Alinia, Parastoo, et al.. (2022). Boosting Lying Posture Classification with Transfer Learning. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2022. 109–114. 2 indexed citations

Alinia, Parastoo, et al.. (2021). Associations Between Physiological Signals Captured Using Wearable Sensors and Self-reported Outcomes Among Adults in Alcohol Use Disorder Recovery: Development and Usability Study. JMIR Formative Research. 5(7). e27891–e27891. 20 indexed citations

Fallahzadeh, Ramin, et al.. (2021). Personalized Activity Recognition Using Partially Available Target Data. IEEE Transactions on Mobile Computing. 22(1). 374–388. 14 indexed citations

Alinia, Parastoo. (2020). Pervasive Lying Posture Tracking. MDPI (MDPI AG). 12 indexed citations

Alinia, Parastoo, et al.. (2020). TransNet. ACM Transactions on Design Automation of Electronic Systems. 26(1). 1–31. 10 indexed citations

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

Alinia, Parastoo, et al.. (2020). Proximity-based active learning for eating moment recognition in wearable systems. 7–12. 1 indexed citations

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

10.

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

11.

Fallahzadeh, Ramin, Parastoo Alinia, & Hassan Ghasemzadeh. (2017). Learn-on-the-go: Autonomous cross-subject context learning for internet-of-things applications. 11. 360–367. 3 indexed citations

12.

Gravina, Raffaele, Parastoo Alinia, Hassan Ghasemzadeh, & Giancarlo Fortino. (2016). Multi-sensor fusion in body sensor networks: State-of-the-art and research challenges. Information Fusion. 35. 68–80. 677 indexed citations breakdown →

13.

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

14.

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

15.

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