Maryam Zekri
- Control and Systems Engineering top 5%
- Artificial Intelligence top 5%
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Co-authors
- Farid SheikholeslamS. SadriSaeed SadriNiloofar GheissariHamid R. SafaviFarshad RezaeiAli JafariMojgan Mokhtari
- Topics
- Neural Networks and Applications (14 papers)Advanced Algorithms and Applications (10 papers)Fuzzy Logic and Control Systems (9 papers)
- Cited by
- Control and Systems EngineeringArtificial IntelligenceComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
In The Last Decade
Maryam Zekri
57 papers receiving 776 citations
Peers
Comparison fields: 5 of 100
- Control and Systems Engineering 275
- Artificial Intelligence 256
- Biomedical Engineering 116
- Computer Vision and Pattern Recognition 116
- Electrical and Electronic Engineering 86
Countries citing papers authored by Maryam Zekri
This map shows the geographic impact of Maryam Zekri'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 Maryam Zekri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maryam Zekri more than expected).
Fields of papers citing papers by Maryam Zekri
This network shows the impact of papers produced by Maryam Zekri. 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 Maryam Zekri. The network helps show where Maryam Zekri may publish in the future.
Co-authorship network of co-authors of Maryam Zekri
This figure shows the co-authorship network connecting the top 25 collaborators of Maryam Zekri. A scholar is included among the top collaborators of Maryam Zekri 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 Maryam Zekri. Maryam Zekri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 10 | |
| 3 | 8 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 6 | |
| 8 | Fuzzy-based Prioritization of Health, Safety, and Environmental Risks: The Case of a Large Gas Refinery | 1 |
| 9 | 4 | |
| 10 | 20 | |
| 11 | 12 | |
| 12 | 37 | |
| 13 | 9 | |
| 14 | 1 | |
| 15 | 19 | |
| 16 | A Model for the Estimation of Yield and Investigation on Factors Affecting Irrigated Wheat Production in Various Tillage Methods (Using Artificial Neural Networks) | 3 |
| 17 | 43 | |
| 18 | 57 | |
| 19 | 1 | |
| 20 | 14 |
About Maryam Zekri
Maryam Zekri is a scholar working on Control and Systems Engineering, Artificial Intelligence and Media Technology, having authored 59 papers that have together received 799 indexed citations. Recurring topics across this work include Neural Networks and Applications (14 papers), Advanced Algorithms and Applications (10 papers) and Fuzzy Logic and Control Systems (9 papers). The work is most often cited by research in Control and Systems Engineering (275 citations), Artificial Intelligence (256 citations) and Computer Vision and Pattern Recognition (116 citations). Maryam Zekri has collaborated with scholars based in Iran, Italy and Spain. Frequent co-authors include Farid Sheikholeslam, S. Sadri, Saeed Sadri, Niloofar Gheissari, Hamid R. Safavi, Farshad Rezaei, Ali Jafari, Mojgan Mokhtari, Hamid Sadeghian and Hossein Rabbani. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.