Mohamad Saraee
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Sociology and Political Science
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Ayoub BagheriFranciska de JongObaida M. Al-HazaimehAbdolreza RashnoSaeed SadriBehzad NazariAbdolreza MirzaeiSunil Vadera
- Topics
- Data Mining Algorithms and Applications (13 papers)Text and Document Classification Technologies (6 papers)Advanced Text Analysis Techniques (5 papers)
- Journals
- Expert Systems with ApplicationsIEEE AccessIEEE Transactions on Intelligent Transportation Systems
- Partner nations
- United KingdomIranNetherlands
In The Last Decade
Mohamad Saraee
38 papers receiving 479 citations
Peers
Comparison fields: 5 of 84
- Artificial Intelligence 326
- Information Systems 119
- Computer Vision and Pattern Recognition 100
- Sociology and Political Science 48
- Statistical and Nonlinear Physics 38
Countries citing papers authored by Mohamad Saraee
This map shows the geographic impact of Mohamad Saraee'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 Mohamad Saraee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohamad Saraee more than expected).
Fields of papers citing papers by Mohamad Saraee
This network shows the impact of papers produced by Mohamad Saraee. 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 Mohamad Saraee. The network helps show where Mohamad Saraee may publish in the future.
Co-authorship network of co-authors of Mohamad Saraee
This figure shows the co-authorship network connecting the top 25 collaborators of Mohamad Saraee. A scholar is included among the top collaborators of Mohamad Saraee 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 Mohamad Saraee. Mohamad Saraee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 9 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 55 | |
| 12 | 11 | |
| 13 | SWApriori : a new approach to mining association rules from semantic web data | 3 |
| 14 | MRAR: Mining Multi-Relation Association Rules | 6 |
| 15 | 1 | |
| 16 | 4 | |
| 17 | A fuzzy recommender system for dynamic prediction of user's behavior | 2 |
| 18 | 3 | |
| 19 | Data mining application : case of road traffic accidents in the UK West Midlands area 2000 | 1 |
| 20 | SVM categorizer: a generic categorization tool using support vector machines | 3 |
About Mohamad Saraee
Mohamad Saraee is a scholar working on Information Systems, Artificial Intelligence and Signal Processing, having authored 43 papers that have together received 509 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (13 papers), Text and Document Classification Technologies (6 papers) and Advanced Text Analysis Techniques (5 papers). The work is most often cited by research in Artificial Intelligence (326 citations), Information Systems (119 citations) and Computer Vision and Pattern Recognition (100 citations). Mohamad Saraee has collaborated with scholars based in United Kingdom, Iran and Netherlands. Frequent co-authors include Ayoub Bagheri, Franciska de Jong, Obaida M. Al-Hazaimeh, Abdolreza Rashno, Saeed Sadri, Behzad Nazari, Abdolreza Mirzaei, Sunil Vadera, Vijayan Sugumaran and Reza Ramezani. Their work appears in journals such as Expert Systems with Applications, IEEE Access and IEEE Transactions on Intelligent Transportation Systems.
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.