Sara Masoud

431 total citations
29 papers, 253 citations indexed

About

Sara Masoud is a scholar working on Control and Systems Engineering, Artificial Intelligence and Health Information Management. According to data from OpenAlex, Sara Masoud has authored 29 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Control and Systems Engineering, 4 papers in Artificial Intelligence and 3 papers in Health Information Management. Recurrent topics in Sara Masoud's work include Machine Learning in Healthcare (4 papers), Indoor and Outdoor Localization Technologies (3 papers) and Emergency and Acute Care Studies (3 papers). Sara Masoud is often cited by papers focused on Machine Learning in Healthcare (4 papers), Indoor and Outdoor Localization Technologies (3 papers) and Emergency and Acute Care Studies (3 papers). Sara Masoud collaborates with scholars based in United States, Australia and South Korea. Sara Masoud's co-authors include Jeremy L. Rickli, Ana Djuric, Young‐Jun Son, Chieri Kubota, Russell Tronstad, Leslie Monplaisir, Joseph Miller, Iana Markevych, Ruixuan Zhang and Neda Masoud and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.

In The Last Decade

Sara Masoud

27 papers receiving 244 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sara Masoud United States 9 49 43 37 22 22 29 253
S. Noyan Oğulata Türkiye 12 19 0.4× 53 1.2× 74 2.0× 13 0.6× 79 3.6× 15 391
José M. González-Cava Spain 9 31 0.6× 47 1.1× 49 1.3× 3 0.1× 9 0.4× 29 281
Xi Zhao China 9 42 0.9× 9 0.2× 31 0.8× 8 0.4× 12 0.5× 22 247
Clifton A. Ericson 3 58 1.2× 14 0.3× 34 0.9× 21 1.0× 15 0.7× 4 342
Ken Jackson United Kingdom 6 37 0.8× 28 0.7× 90 2.4× 7 0.3× 20 0.9× 14 401
Issam Nouaouri France 9 12 0.2× 75 1.7× 56 1.5× 3 0.1× 28 1.3× 31 327
Numan Khan South Korea 11 8 0.2× 39 0.9× 22 0.6× 40 1.8× 35 1.6× 17 342
Ahmet Kolus Saudi Arabia 11 16 0.3× 130 3.0× 11 0.3× 70 3.2× 13 0.6× 16 351
Philippe Polet France 10 68 1.4× 14 0.3× 57 1.5× 132 6.0× 9 0.4× 20 315

Countries citing papers authored by Sara Masoud

Since Specialization
Citations

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

Fields of papers citing papers by Sara Masoud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Masoud

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Masoud. A scholar is included among the top collaborators of Sara Masoud 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 Sara Masoud. Sara Masoud 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.
Masoud, Sara, et al.. (2025). Condition-Based Maintenance for Degradation-Aware Control Systems in Continuous Manufacturing. Machines. 13(2). 141–141. 1 indexed citations
2.
Petridis, Panagiotis, et al.. (2025). Machine Learning for Early Non-invasive Diabetes Detection Using Electronic Health Records. 6(1). 28–28. 1 indexed citations
3.
Zhu, Meina, Min Young Doo, Sara Masoud, & Yaoxian Huang. (2024). The influence of SDL on learning satisfaction in online learning and group differences between undergraduates and graduates. Education and Information Technologies. 30(1). 313–331. 1 indexed citations
4.
Masoud, Sara, et al.. (2024). Application of machine learning in affordable and accessible insulin management for type 1 and 2 diabetes: A comprehensive review. Artificial Intelligence in Medicine. 151. 102868–102868. 7 indexed citations
5.
Zhu, Meina, et al.. (2024). Computer science and engineering students’ self-directed learning strategies and satisfaction with online learning. SHILAP Revista de lepidopterología. 6. 100168–100168. 4 indexed citations
6.
Lanier, David, et al.. (2024). Predictive Analysis of Endoscope Demand in Otolaryngology Outpatient Settings. SHILAP Revista de lepidopterología. 4(1). 721–732. 2 indexed citations
7.
Masoud, Sara, et al.. (2023). Spatiotemporal integration of GCN and E-LSTM networks for PM2.5 forecasting. SHILAP Revista de lepidopterología. 15. 100521–100521. 7 indexed citations
8.
Masoud, Sara, et al.. (2023). A novel fuzzy SECA model based on fuzzy standard deviation and correlation coefficients for resilient-sustainable supplier selection. Expert Systems with Applications. 231. 120653–120653. 19 indexed citations
9.
Monplaisir, Leslie, et al.. (2023). A hybrid machine learning and natural language processing model for early detection of acute coronary syndrome. SHILAP Revista de lepidopterología. 4. 100249–100249. 4 indexed citations
10.
Tavakkoli‐Moghaddam, Reza, et al.. (2022). Prioritizing the glucose-lowering medicines for type 2 diabetes by an extended fuzzy decision-making approach with target-based attributes. Medical & Biological Engineering & Computing. 60(8). 2423–2444. 7 indexed citations
11.
Zhang, Ruixuan, Sara Masoud, & Neda Masoud. (2022). Impact of Autonomous Vehicles on the Car-Following Behavior of Human Drivers. Journal of Transportation Engineering Part A Systems. 149(3). 16 indexed citations
12.
Monplaisir, Leslie, et al.. (2022). Identifying indicators influencing emergency department performance during a medical surge: A consensus-based modified fuzzy Delphi approach. PLoS ONE. 17(4). e0265101–e0265101. 15 indexed citations
13.
Monplaisir, Leslie, et al.. (2022). Prediction of Length of Stay in the Emergency Department for COVID-19 Patients: A Machine Learning Approach. IEEE Access. 10. 42243–42251. 19 indexed citations
14.
15.
Masoud, Sara, et al.. (2022). Human-robot interactions in manufacturing: A survey of human behavior modeling. Robotics and Computer-Integrated Manufacturing. 78. 102404–102404. 66 indexed citations
16.
Monplaisir, Leslie, et al.. (2022). Acute coronary syndrome prediction in emergency care: A machine learning approach. Computer Methods and Programs in Biomedicine. 225. 107080–107080. 19 indexed citations
17.
Masoud, Sara, et al.. (2021). A Dynamic HMM-Based Real-Time Location Tracking System Utilizing UHF Passive RFID. IEEE Journal of Radio Frequency Identification. 6. 41–53. 9 indexed citations
18.
Masoud, Sara, Sojung Kim, & Young‐Jun Son. (2020). Mitigating the risk of hazardous materials transportation: A hierarchical approach. Computers & Industrial Engineering. 148. 106735–106735. 10 indexed citations
19.
Masoud, Sara, et al.. (2020). A dynamic data driven indoor localisation framework based on ultra high frequency passive RFID system. International Journal of Sensor Networks. 34(3). 172–172. 3 indexed citations
20.
Masoud, Sara, et al.. (2019). Markov-chain Monte-Carlo sampling for optimal fidelity determination in dynamic decision-making. 968456.

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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