Shahram Rahimi
- Artificial Intelligence top 5%
- Computer Networks and Communications top 10%
- Control and Systems Engineering top 10%
- Biomaterials
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Somayeh Bakhtiari RamezaniMaria SealeSudip MittalAmin AmirlatifiMokhtar AramiFiroozmehr MazaheriNiyaz Mohammad MahmoodiWilliam Anderson
- Topics
- Anomaly Detection Techniques and Applications (9 papers)Adversarial Robustness in Machine Learning (6 papers)Time Series Analysis and Forecasting (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Cleaner ProductionExpert Systems with Applications
- Partner nations
- United StatesIranAustralia
In The Last Decade
Shahram Rahimi
53 papers receiving 598 citations
Peers
Comparison fields: 5 of 111
- Artificial Intelligence 236
- Computer Networks and Communications 106
- Control and Systems Engineering 75
- Biomaterials 74
- Computer Vision and Pattern Recognition 67
Countries citing papers authored by Shahram Rahimi
This map shows the geographic impact of Shahram Rahimi'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 Shahram Rahimi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shahram Rahimi more than expected).
Fields of papers citing papers by Shahram Rahimi
This network shows the impact of papers produced by Shahram Rahimi. 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 Shahram Rahimi. The network helps show where Shahram Rahimi may publish in the future.
Co-authorship network of co-authors of Shahram Rahimi
This figure shows the co-authorship network connecting the top 25 collaborators of Shahram Rahimi. A scholar is included among the top collaborators of Shahram Rahimi 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 Shahram Rahimi. Shahram Rahimi 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 | 5 | |
| 3 | 3 | |
| 4 | 7 | |
| 5 | 2 | |
| 6 | 30 | |
| 7 | 7 | |
| 8 | 5 | |
| 9 | 5 | |
| 10 | 16 | |
| 11 | 3 | |
| 12 | 26 | |
| 13 | 2 | |
| 14 | 17 | |
| 15 | 3 | |
| 16 | 0 | |
| 17 | A Hybrid Expert System for IT Security Risk Assessment. | 3 |
| 18 | A New High Performance Checkpointing Approach for Mobile Computing Systems | 5 |
| 19 | 1 | |
| 20 | Api-calculus for intelligent-agent formal modeling and its application in distributed geospatial data conflation | 1 |
About Shahram Rahimi
Shahram Rahimi is a scholar working on Medical Laboratory Technology, Artificial Intelligence and Management Science and Operations Research, having authored 62 papers that have together received 633 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (9 papers), Adversarial Robustness in Machine Learning (6 papers) and Time Series Analysis and Forecasting (6 papers). The work is most often cited by research in Health Informatics (11 citations), Artificial Intelligence (236 citations) and Biomaterials (74 citations). Shahram Rahimi has collaborated with scholars based in United States, Iran and Australia. Frequent co-authors include Somayeh Bakhtiari Ramezani, Maria Seale, Sudip Mittal, Amin Amirlatifi, Mokhtar Arami, Firoozmehr Mazaheri, Niyaz Mohammad Mahmoodi, William Anderson, Ioana Banicescu and Chaomin Luo. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Expert Systems with Applications.
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.