Osman Salem

1.0k total citations
46 papers, 576 citations indexed

About

Osman Salem is a scholar working on Artificial Intelligence, Biomedical Engineering and Computer Networks and Communications. According to data from OpenAlex, Osman Salem has authored 46 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 17 papers in Biomedical Engineering and 16 papers in Computer Networks and Communications. Recurrent topics in Osman Salem's work include Anomaly Detection Techniques and Applications (16 papers), Non-Invasive Vital Sign Monitoring (11 papers) and Network Security and Intrusion Detection (9 papers). Osman Salem is often cited by papers focused on Anomaly Detection Techniques and Applications (16 papers), Non-Invasive Vital Sign Monitoring (11 papers) and Network Security and Intrusion Detection (9 papers). Osman Salem collaborates with scholars based in France, Canada and South Korea. Osman Salem's co-authors include Ahmed Mehaoua, Raouf Boutaba, Borko Furht, Anthony Marcus, Yaning Liu, Khalid Alsubhi, Yaning Liu, Sandrine Vaton, Annie Gravey and Ahmed Serhrouchni and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, IEEE Transactions on Industrial Informatics and IEEE Transactions on Mobile Computing.

In The Last Decade

Osman Salem

37 papers receiving 561 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Osman Salem France 13 287 249 179 125 72 46 576
Jaehak Yu South Korea 13 227 0.8× 180 0.7× 55 0.3× 93 0.7× 61 0.8× 37 617
Khaled Mohamad Almustafa Saudi Arabia 14 184 0.6× 198 0.8× 70 0.4× 42 0.3× 77 1.1× 56 660
Satria Mandala Indonesia 17 292 1.0× 190 0.8× 84 0.5× 90 0.7× 80 1.1× 95 802
Benessa Defend United States 4 227 0.8× 101 0.4× 276 1.5× 108 0.9× 211 2.9× 6 565
Liang Zhou China 12 180 0.6× 209 0.8× 67 0.4× 61 0.5× 119 1.7× 63 672
Xiali Hei United States 10 161 0.6× 135 0.5× 149 0.8× 94 0.8× 151 2.1× 48 560
Md. Zıa Ur Rahman India 13 159 0.6× 143 0.6× 104 0.6× 47 0.4× 70 1.0× 56 520
Bhabani Shankar Prasad Mishra India 12 93 0.3× 125 0.5× 58 0.3× 44 0.4× 80 1.1× 67 461
Mengshu Hou China 14 211 0.7× 178 0.7× 127 0.7× 45 0.4× 85 1.2× 80 653
Shane S. Clark United States 7 361 1.3× 218 0.9× 380 2.1× 238 1.9× 275 3.8× 13 982

Countries citing papers authored by Osman Salem

Since Specialization
Citations

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

Fields of papers citing papers by Osman Salem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Osman Salem

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

All Works

20 of 20 papers shown
1.
2.
Vo, Quoc Bao, et al.. (2024). Anomaly Detection in IoT Sensor Energy Consumption Using LSTM Neural Networks and Isolation Forest. SPIRE - Sciences Po Institutional REpository. 1–8.
3.
Salem, Osman, et al.. (2024). Comparative Analysis of ML and DL Approaches for Securing IoMT Environments. SPIRE - Sciences Po Institutional REpository. 1–6.
4.
Vo, Quoc Bao, et al.. (2024). Predicting Heart Disease with Random Forest: An In-Depth Analysis of Machine Learning Techniques for Early Detection and Risk Assessment. SPIRE - Sciences Po Institutional REpository. 1–3. 1 indexed citations
5.
Salem, Osman, et al.. (2024). Robust Federated Learning Against Data Poisoning: A Split Learning-Based Approach Evaluated on Various Aggregation Techniques. SPIRE - Sciences Po Institutional REpository. 1–6. 1 indexed citations
6.
Vo, Quoc Bao, et al.. (2024). Is Deep Learning a Better Option than Random Forest for Encrypted Traffic Classification?. SPIRE - Sciences Po Institutional REpository. 1–6. 1 indexed citations
7.
Vo, Quoc Bao, et al.. (2024). Unsupervised Anomaly Detection in IoMT Based on Clustering and Online Learning. SPIRE - Sciences Po Institutional REpository. 1–6.
8.
Salem, Osman, Ahmed Mehaoua, & Raouf Boutaba. (2023). Soft Voting for Anomaly Detection in Internet of Medical Things. SPIRE - Sciences Po Institutional REpository. 498–503. 1 indexed citations
9.
Liu, Xinchen, et al.. (2023). SPSO-Pruner: a network pruning method on YOLOv5 for fewer categories scenarios. Multimedia Tools and Applications. 83(4). 11493–11506.
10.
Salem, Osman, et al.. (2023). Graph Neural Networks for Anomaly Detection in Internet of Medical Things. SPIRE - Sciences Po Institutional REpository. 84–89.
11.
Salem, Osman, et al.. (2023). Security Assessment of Bluetooth Just Works Pairing Method: Vulnerabilities and Enhancements. SPIRE - Sciences Po Institutional REpository. 107–112. 1 indexed citations
12.
13.
Salem, Osman, et al.. (2023). Cyberbullying Messages Detection: A Comparative Study of Machine Learning Algorithms. SPIRE - Sciences Po Institutional REpository. 1–4. 1 indexed citations
14.
Salem, Osman, et al.. (2021). Fall Detection for Elderly Person Monitoring using Wearable Inertial Sensors and Locality Sensitive Hashing. SPIRE - Sciences Po Institutional REpository. 1–8. 1 indexed citations
15.
Salem, Osman, et al.. (2020). Epileptic Seizures Detection based on Inertial and Physiological Data from Wireless Body Sensors. SPIRE - Sciences Po Institutional REpository. 17. 1–6. 2 indexed citations
16.
Salem, Osman, et al.. (2020). Improving Human Activity Recognition Algorithms using Wireless Body Sensors and SVM. SPIRE - Sciences Po Institutional REpository. 43. 607–612. 1 indexed citations
17.
Salem, Osman, Yaning Liu, & Ahmed Mehaoua. (2014). Anomaly detection in medical WSNs using enclosing ellipse and chi-square distance. 3658–3663. 12 indexed citations
18.
Salem, Osman, Yaning Liu, & Ahmed Mehaoua. (2014). Pervasive detection of sleep apnea using medical wireless sensor networks. 13. 435–440. 1 indexed citations
19.
Salem, Osman, Yaning Liu, & Ahmed Mehaoua. (2013). Anomaly Detection in Medical Wireless Sensor Networks. Journal of Computing Science and Engineering. 7(4). 272–284. 39 indexed citations
20.
Salem, Osman, Yaning Liu, & Ahmed Mehaoua. (2013). Detection and isolation of faulty measurements in medical Wireless Sensor Networks. 9. 1–5. 4 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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