Nabil Alshurafa

649 total citations · 1 hit paper
15 papers, 427 citations indexed

About

Nabil Alshurafa is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Nabil Alshurafa has authored 15 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Nabil Alshurafa's work include Context-Aware Activity Recognition Systems (7 papers), Human Pose and Action Recognition (4 papers) and Stress Responses and Cortisol (2 papers). Nabil Alshurafa is often cited by papers focused on Context-Aware Activity Recognition Systems (7 papers), Human Pose and Action Recognition (4 papers) and Stress Responses and Cortisol (2 papers). Nabil Alshurafa collaborates with scholars based in United States, Canada and India. Nabil Alshurafa's co-authors include Shibo Zhang, Yu Deng, Farzad Shahabi, Stephen Xia, Yaxuan Li, Shen Zhang, Rawan Alharbi, Josiah Hester, Judith T. Moskowitz and Michael Bass and has published in prestigious journals such as Scientific Reports, Sensors and Developmental Psychobiology.

In The Last Decade

Nabil Alshurafa

13 papers receiving 420 citations

Hit Papers

align trajectories

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.

Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances

2022 284 citations Shibo Zhang, Yaxuan Li et al. Sensors profile →

Peers

Nabil Alshurafa

CVPR

BE

AI

CNC

ECP

Basel Kikhia Sweden

Gerald Bieber Germany

Noriaki Kuwahara Japan

Nataša Koceska North Macedonia

Chariklia Chatzaki Greece

Prafulla Dawadi United States

Antonis Billis Greece

Christos Diou Greece

Fernando Flores-Mangas Canada

Bruce Wallace Canada

Basel Kikhia Sweden

Nabil Alshurafa

218 ×0.9

CVPR

137 ×1.0

BE

37 ×0.4

AI

54 ×1.1

CNC

44 ×1.3

ECP

Citations per year, relative to Nabil Alshurafa Nabil Alshurafa (= 1×) peers Basel Kikhia

Countries citing papers authored by Nabil Alshurafa

Since Specialization

Citations

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

Fields of papers citing papers by Nabil Alshurafa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nabil Alshurafa

This figure shows the co-authorship network connecting the top 25 collaborators of Nabil Alshurafa. A scholar is included among the top collaborators of Nabil Alshurafa 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 Nabil Alshurafa. Nabil Alshurafa 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

1.

Alshurafa, Nabil, et al.. (2025). Developing and comparing a new BMI inclusive energy expenditure algorithm on wrist-worn wearables. Scientific Reports. 15(1). 20060–20060.

2.

Gao, Yang, et al.. (2024). HealthSense: Unobtrusive Continuous Stress Monitoring Using a Novel Dual ECG-PPG Patch. 1–4.

3.

Zhang, Shibo, Yaxuan Li, Shen Zhang, et al.. (2022). Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances. Sensors. 22(4). 1476–1476. 284 indexed citations breakdown →

4.

Cummings, Peter, Amélie Petitclerc, Judith T. Moskowitz, et al.. (2022). Feasibility of Passive ECG Bio-sensing and EMA Emotion Reporting Technologies and Acceptability of Just-in-Time Content in a Well-being Intervention, Considerations for Scalability and Improved Uptake. Affective Science. 3(4). 849–861. 6 indexed citations

5.

Alharbi, Rawan, Yang Gao, Sougata Sen, et al.. (2022). Impacts of Image Obfuscation on Fine-grained Activity Recognition in Egocentric Video. PubMed Central. 341–346. 4 indexed citations

6.

Zhang, Shibo, Ebrahim Nemati, Tousif Ahmed, et al.. (2022). Coughtrigger: Earbuds IMU Based Cough Detection Activator Using An Energy-Efficient Sensitivity-Prioritized Time Series Classifier. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 13 indexed citations

7.

MacNeill, Leigha A., Sheila Krogh‐Jespersen, Yudong Zhang, et al.. (2022). Lability of prenatal stress during the COVID‐19 pandemic links to negative affect in infancy. Infancy. 28(1). 136–157. 4 indexed citations

8.

Shahabi, Farzad, Yang Gao, & Nabil Alshurafa. (2022). ActiveSense: A Novel Active Learning Framework for Human Activity Recognition. 23. 224–229. 1 indexed citations

9.

Alharbi, Rawan, et al.. (2022). ActiSight: Wearer Foreground Extraction Using a Practical RGB-Thermal Wearable. PubMed. 2022. 237–246. 7 indexed citations

10.

Bass, Michael, Kristen Rosen, Mary A. Gerend, et al.. (2021). Development and feasibility of a Configurable Assessment Messaging Platform for Interventions (CAMPI).. Families Systems & Health. 39(1). 19–28. 1 indexed citations

11.

Zhang, Shibo & Nabil Alshurafa. (2020). Deep generative cross-modal on-body accelerometer data synthesis from videos. 223–227. 16 indexed citations

12.

Zhang, Shibo, Miao Liu, Samuel L. Battalio, et al.. (2020). SyncWISE. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 4(3). 1–26. 7 indexed citations

13.

Wakschlag, Lauren S., S. Darius Tandon, Sheila Krogh‐Jespersen, et al.. (2020). Moving the dial on prenatal stress mechanisms of neurodevelopmental vulnerability to mental health problems: A personalized prevention proof of concept. Developmental Psychobiology. 63(4). 622–640. 12 indexed citations

14.

Moskowitz, Judith T., Shibo Zhang, Michael Bass, et al.. (2019). micro-Stress EMA. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 3(3). 1–22. 46 indexed citations

15.

Alharbi, Rawan, et al.. (2019). To Mask or Not to Mask?. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 3(3). 1–29. 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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