Alice Othmani

2.0k total citations · 2 hit papers
52 papers, 1.0k citations indexed

About

Alice Othmani is a scholar working on Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Alice Othmani has authored 52 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Experimental and Cognitive Psychology, 15 papers in Computer Vision and Pattern Recognition and 13 papers in Cognitive Neuroscience. Recurrent topics in Alice Othmani's work include Emotion and Mood Recognition (22 papers), EEG and Brain-Computer Interfaces (10 papers) and Face recognition and analysis (8 papers). Alice Othmani is often cited by papers focused on Emotion and Mood Recognition (22 papers), EEG and Brain-Computer Interfaces (10 papers) and Face recognition and analysis (8 papers). Alice Othmani collaborates with scholars based in France, Malaysia and Pakistan. Alice Othmani's co-authors include Liam Schoneveld, Muhammad Muzammel, Syed Asad Hussain, Sana Yasin, Imran Raza, Ali Komaty, Fabrice Mériaudeau, Sinem Aslan, Hanan Salam and Mayank Jain and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Alice Othmani

48 papers receiving 991 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.

Leveraging recent advances in deep learning for audio-Visual emotion recognition

2021 158 citations Alice Othmani et al. profile →
MemoCMT: multimodal emotion recognition using cross-modal transformer-based feature fusion

2025 16 citations Mustaqeem Khan, Nhat Truong Pham et al. Scientific Reports profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alice Othmani France	15	440	283	215	199	129	52	1.0k
Seyed Mostafa Kia Netherlands	16	351 0.8×	659 2.3×	83 0.4×	139 0.7×	66 0.5×	34	1.0k
Matthew Pediaditis Greece	16	367 0.8×	252 0.9×	404 1.9×	174 0.9×	148 1.1×	36	1.1k
Marcin Kołodziej Poland	13	222 0.5×	300 1.1×	124 0.6×	100 0.5×	67 0.5×	66	681
Hanshu Cai China	15	367 0.8×	686 2.4×	56 0.3×	116 0.6×	72 0.6×	31	989
José Manuel Ferrández Spain	17	206 0.5×	406 1.4×	115 0.5×	127 0.6×	74 0.6×	101	1.0k
James Mountstephens Malaysia	12	426 1.0×	492 1.7×	114 0.5×	78 0.4×	144 1.1×	40	895
Suh-Yeon Dong South Korea	14	279 0.6×	167 0.6×	276 1.3×	74 0.4×	68 0.5×	34	663
Jiří Mekyska Czechia	24	195 0.4×	330 1.2×	359 1.7×	316 1.6×	42 0.3×	87	2.0k
Mojtaba Khomami Abadi Italy	10	899 2.0×	714 2.5×	152 0.7×	158 0.8×	195 1.5×	12	1.2k

Countries citing papers authored by Alice Othmani

Since Specialization

Citations

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

Fields of papers citing papers by Alice Othmani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alice Othmani

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Othmani, Alice, et al.. (2025). Prediction and detection of terminal diseases using Internet of Medical Things: A review. Computers in Biology and Medicine. 188. 109835–109835. 2 indexed citations

Anwar, Syed Muhammad, et al.. (2025). Multichannel convolutional transformer for detecting mental disorders using electroancephalogrpahy records. Scientific Reports. 15(1). 15387–15387. 1 indexed citations

Muzammel, Muhammad, et al.. (2025). Artificial Intelligence non-invasive methods for neonatal jaundice detection: A review. Artificial Intelligence in Medicine. 162. 103088–103088.

Khan, Mustaqeem, et al.. (2025). Advancing medical question answering with a knowledge embedding transformer. PLoS ONE. 20(8). e0329606–e0329606. 3 indexed citations

Pivonka, Peter, et al.. (2024). Dbahnet: Dual-Branch Attention-Based Hybrid Network for High-Resolution 3d Micro-Ct Bone Scan Segmentation. SPIRE - Sciences Po Institutional REpository. 1–5. 2 indexed citations

Othmani, Alice, et al.. (2024). A Systematic Review of Rare Events Detection Across Modalities Using Machine Learning and Deep Learning. IEEE Access. 12. 47091–47109. 4 indexed citations

Yasin, Sana, Imran Raza, Alice Othmani, & Syed Asad Hussain. (2024). AI-Enabled Electroencephalogram (EEG) Analysis for Depression Relapse Detection in Quadriplegic Patients. 1–6. 3 indexed citations

Khodabandelou, Ghazaleh, et al.. (2024). Paying attention to uncertainty: A stochastic multimodal transformers for post-traumatic stress disorder detection using video. Computer Methods and Programs in Biomedicine. 257. 108439–108439. 2 indexed citations

Othmani, Alice, et al.. (2024). DWTSRNet: Discrete Wavelet Transform Super Resolution Network for medical single image super-resolution. 4861–4868.

10.

Pham, Nhat Truong, et al.. (2024). HuBERT-CLAP: Contrastive Learning-Based Multimodal Emotion Recognition using Self-Alignment Approach. 1–6. 1 indexed citations

11.

Othmani, Alice, et al.. (2023). Stratifying knee osteoarthritis features through multitask deep hybrid learning: Data from the osteoarthritis initiative. Computer Methods and Programs in Biomedicine. 242. 107807–107807. 7 indexed citations

12.

Khodabandelou, Ghazaleh, et al.. (2023). Video-based continuous affect recognition of children with Autism Spectrum Disorder using deep learning. Biomedical Signal Processing and Control. 89. 105712–105712. 10 indexed citations

13.

Othmani, Alice, et al.. (2023). Predicting Knee Osteoarthritis Pain Severity through A Deep Hybrid Learning Model: Data from the Osteoarthritis Initiative. SPIRE - Sciences Po Institutional REpository. 4148–4153. 1 indexed citations

14.

Yasin, Sana, Alice Othmani, Imran Raza, & Syed Asad Hussain. (2023). Machine learning based approaches for clinical and non-clinical depression recognition and depression relapse prediction using audiovisual and EEG modalities: A comprehensive review. Computers in Biology and Medicine. 159. 106741–106741. 42 indexed citations

15.

Othmani, Alice, et al.. (2022). Deep Learning-Based Approach for Continuous Affect Prediction From Facial Expression Images in Valence-Arousal Space. IEEE Access. 10. 96053–96065. 14 indexed citations

16.

Yasin, Sana, Syed Asad Hussain, Sinem Aslan, et al.. (2020). EEG based Major Depressive disorder and Bipolar disorder detection using\n Neural Networks: A review. arXiv (Cornell University). 136 indexed citations

17.

Chaigne, Agathe, Gaëlle Letort, Marion Manil-Ségalen, et al.. (2020). Artificially decreasing cortical tension generates aneuploidy in mouse oocytes. Nature Communications. 11(1). 1649–1649. 26 indexed citations

18.

Daoudi, Mohamed, et al.. (2019). Clinical Depression and Affect Recognition with EmoAudioNet.. arXiv (Cornell University). 5 indexed citations

19.

Almonacid, Maria, Adel Al Jord, Stephany El‐Hayek, et al.. (2019). Active Fluctuations of the Nuclear Envelope Shape the Transcriptional Dynamics in Oocytes. Developmental Cell. 51(2). 145–157.e10. 39 indexed citations

20.

Komaty, Ali, et al.. (2019). MFCC-based Recurrent Neural Network for Automatic Clinical Depression\n Recognition and Assessment from Speech. arXiv (Cornell University). 160 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.

Explore authors with similar magnitude of impact