Mahsa Mohaghegh
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- Online Learning and Analytics 2
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- Topic Modeling 11
- Natural Language Processing Techniques 11
- Internet Traffic Analysis and Secure E-voting 2
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- IoT and Edge/Fog Computing 4
- Network Security and Intrusion Detection 2
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- Biomedical Text Mining and Ontologies 3
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- IoT Networks and Protocols 2
- Co-authors
- Michael E. McCauleyAbdolhossein SarrafzadehNicola NaismithT.J. MoirNurul I. SarkarYuanyuan ShenRasoul PourebrahimEdmund Lai
- Partner nations
- New ZealandIranSri Lanka
In The Last Decade
Mahsa Mohaghegh
34 papers receiving 187 citations
Peers
Comparison fields: 5 of 81
- Computer Science Applications 51
- Health Informatics 4
- Developmental and Educational Psychology 30
- Radiological and Ultrasound Technology 11
- Gender Studies 13
Countries citing papers authored by Mahsa Mohaghegh
This map shows the geographic impact of Mahsa Mohaghegh'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 Mahsa Mohaghegh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mahsa Mohaghegh more than expected).
Fields of papers citing papers by Mahsa Mohaghegh
This network shows the impact of papers produced by Mahsa Mohaghegh. 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 Mahsa Mohaghegh. The network helps show where Mahsa Mohaghegh may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Mahsa Mohaghegh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 5 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 5 | |
| 12 | 2023 | 2 | |
| 13 | 2023 | 0 | |
| 14 | 2021 | 18 | |
| 15 | 2021 | 0 | |
| 16 | 2020 | 9 | |
| 17 | 2020 | 4 | |
| 18 | 2018 | 2 | |
| 19 | GRAFIX: Automated Rule-Based Post Editing System to Improve English-Persian SMT Output | 2012 | 2 |
| 20 | Improved Language Modeling for English-Persian Statistical Machine Translation | 2010 | 2 |
About Mahsa Mohaghegh
Mahsa Mohaghegh is a scholar working on Health Informatics, Artificial Intelligence, Computer Science Applications, Signal Processing and Radiological and Ultrasound Technology, having authored 44 papers that have together received 208 indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Natural Language Processing Techniques (11 papers), IoT and Edge/Fog Computing (4 papers), Biomedical Text Mining and Ontologies (3 papers), Online Learning and Analytics (2 papers), IoT Networks and Protocols (2 papers), Internet Traffic Analysis and Secure E-voting (2 papers) and Network Security and Intrusion Detection (2 papers). The work is most often cited by research in Computer Science Applications (51 citations), Health Informatics (4 citations), Developmental and Educational Psychology (30 citations), Radiological and Ultrasound Technology (11 citations) and Gender Studies (13 citations). Mahsa Mohaghegh has collaborated with scholars based in New Zealand, Iran and Sri Lanka. Frequent co-authors include Michael E. McCauley, Abdolhossein Sarrafzadeh, Nicola Naismith, T.J. Moir, Nurul I. Sarkar, Yuanyuan Shen, Rasoul Pourebrahim, Edmund Lai, Mostafa Akhlaghi and Mehdi Mohammadi. Their work appears in journals such as IEEE Access, Sensors, Building Research & Information, Journal of Epidemiology and Global Health and Engineering Construction & Architectural Management.
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.