Mohamed Bennasar

938 total citations · 1 hit paper
17 papers, 666 citations indexed

About

Mohamed Bennasar is a scholar working on Computer Vision and Pattern Recognition, Applied Psychology and Psychiatry and Mental health. According to data from OpenAlex, Mohamed Bennasar has authored 17 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 3 papers in Applied Psychology and 3 papers in Psychiatry and Mental health. Recurrent topics in Mohamed Bennasar's work include Digital Mental Health Interventions (3 papers), Technology Use by Older Adults (3 papers) and Neurological Disease Mechanisms and Treatments (2 papers). Mohamed Bennasar is often cited by papers focused on Digital Mental Health Interventions (3 papers), Technology Use by Older Adults (3 papers) and Neurological Disease Mechanisms and Treatments (2 papers). Mohamed Bennasar collaborates with scholars based in United Kingdom, Ireland and Australia. Mohamed Bennasar's co-authors include Yulia Hicks, Rossitza Setchi, Blaine Price, Bashar Nuseibeh, Antony Bayer, Daniel Gooch, Arosha K. Bandara, Anne Rosser, Catherine Avril Holt and Monica Busse and has published in prestigious journals such as Expert Systems with Applications, Sensors and Pattern Recognition Letters.

In The Last Decade

Mohamed Bennasar

15 papers receiving 651 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.

Feature selection using Joint Mutual Information Maximisation

2015 494 citations Mohamed Bennasar, Yulia Hicks et al. Expert Systems with Applications profile →

Peers

Mohamed Bennasar

CVPR

CTM

Francesco Fontanella Italy

Utkarsh Mahadeo Khaire India

Wenjun Ma China

Giorgio Roffo Italy

Yin-Wen Chang United States

M. Cevdet İnce Türkiye

Shamila Nasreen Pakistan

Mehmet Fatih Akay Türkiye

Tomas Krilavičius Lithuania

Ebrahim Akbari Iran

Francesco Fontanella Italy

Mohamed Bennasar

323 ×1.1

328 ×1.6

CVPR

90 ×0.9

26 ×0.4

45 ×0.8

CTM

Citations per year, relative to Mohamed Bennasar Mohamed Bennasar (= 1×) peers Francesco Fontanella

Countries citing papers authored by Mohamed Bennasar

Since Specialization

Citations

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

Fields of papers citing papers by Mohamed Bennasar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohamed Bennasar

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

All Works

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17 of 17 papers shown

Bennasar, Mohamed, et al.. (2024). Towards Efficient AI Solutions for Facial Recognition in the Wild. Procedia Computer Science. 246. 1752–1761.

Bennasar, Mohamed, et al.. (2024). Democratizing Clinical Movement Analysis: Assessing the Versatility of MoJoXlab with Open-protocol Inertial Sensors. Procedia Computer Science. 246. 2360–2369.

Bennaceur, Amel, Avelie Stuart, Blaine Price, et al.. (2023). Socio-Technical Resilience for Community Healthcare. Open Research Online (The Open University). 1–6. 2 indexed citations

Stuart, Avelie, Clifford Stevenson, Daniel Gooch, et al.. (2022). Loneliness in older people and COVID-19: Applying the social identity approach to digital intervention design. Computers in Human Behavior Reports. 6. 100179–100179. 26 indexed citations

Gooch, Daniel, Vikram Mehta, Avelie Stuart, et al.. (2022). Designing Tangibles to Support Emotion Logging for Older Adults: Development and Usability Study. JMIR Human Factors. 9(2). e34606–e34606. 3 indexed citations

Bennasar, Mohamed, Blaine Price, Daniel Gooch, Arosha K. Bandara, & Bashar Nuseibeh. (2022). Significant Features for Human Activity Recognition Using Tri-Axial Accelerometers. Sensors. 22(19). 7482–7482. 14 indexed citations

Stuart, Avelie, Lydia Harkin, Clifford Stevenson, et al.. (2022). Digital Intervention in Loneliness in Older Adults: Qualitative Analysis of User Studies. JMIR Formative Research. 7. e42172–e42172. 8 indexed citations

Bennasar, Mohamed, Duncan Banks, Blaine Price, & Attila Kardos. (2020). Minimal Patient Clinical Variables to Accurately Predict Stress Echocardiography Outcome: Validation Study Using Machine Learning Techniques. JMIR Cardio. 4(1). e16975–e16975. 2 indexed citations

Bennasar, Mohamed, Kate Button, Simon Holland, et al.. (2020). A Nonproprietary Movement Analysis System (MoJoXlab) Based on Wearable Inertial Measurement Units Applicable to Healthy Participants and Those With Anterior Cruciate Ligament Reconstruction Across a Range of Complex Tasks: Validation Study. JMIR mhealth and uhealth. 8(6). e17872–e17872. 10 indexed citations

10.

Gooch, Daniel, Vikram Mehta, Blaine Price, et al.. (2020). How are you feeling?. Open Research Exeter (University of Exeter). 31–43. 13 indexed citations

11.

Bennasar, Mohamed, Blaine Price, Avelie Stuart, et al.. (2019). Knowledge-Based Architecture for Recognising Activities of Older People. Procedia Computer Science. 159. 590–599. 3 indexed citations

12.

Bennasar, Mohamed, et al.. (2018). Automated Assessment of Movement Impairment in Huntington’s Disease. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 26(10). 2062–2069. 25 indexed citations

13.

Bennasar, Mohamed, et al.. (2016). Huntington's Disease Assessment Using Tri Axis Accelerometers. Procedia Computer Science. 96. 1193–1201. 14 indexed citations

14.

Bennasar, Mohamed, Yulia Hicks, & Rossitza Setchi. (2015). Feature selection using Joint Mutual Information Maximisation. Expert Systems with Applications. 42(22). 8520–8532. 494 indexed citations breakdown →

15.

Bennasar, Mohamed, Rossitza Setchi, Yulia Hicks, & Antony Bayer. (2014). Cascade classification for diagnosing dementia. ORCA Online Research @Cardiff (Cardiff University). 2535–2540. 17 indexed citations

16.

Bennasar, Mohamed, Rossitza Setchi, Antony Bayer, & Yulia Hicks. (2013). Feature Selection based on Information Theory in the Clock Drawing Test. Procedia Computer Science. 22. 902–911. 9 indexed citations

17.

Bennasar, Mohamed, Rossitza Setchi, & Yulia Hicks. (2013). Feature Interaction Maximisation. Pattern Recognition Letters. 34(14). 1630–1635. 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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