Maryam Siadat
- Biomedical Engineering top 5%
- Electrical and Electronic Engineering top 10%
- Materials Chemistry
- Molecular Biology
- Analytical Chemistry top 2%
- Co-authors
- Mahdi Ghasemi‐VarnamkhastiSeyed Saeid MohtasebiEtienne LossonPhilippe ThéveninAlexandre SavaBouchaíb HartitiJ.F. StoltzM. Donner
- Topics
- Advanced Chemical Sensor Technologies (23 papers)Gas Sensing Nanomaterials and Sensors (18 papers)Analytical Chemistry and Sensors (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaTrends in Food Science & TechnologySensors
In The Last Decade
Maryam Siadat
52 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 112
- Biomedical Engineering 712
- Electrical and Electronic Engineering 473
- Materials Chemistry 250
- Molecular Biology 210
- Analytical Chemistry 179
Countries citing papers authored by Maryam Siadat
This map shows the geographic impact of Maryam Siadat'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 Siadat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maryam Siadat more than expected).
Fields of papers citing papers by Maryam Siadat
This network shows the impact of papers produced by Maryam Siadat. 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 Siadat. The network helps show where Maryam Siadat may publish in the future.
Co-authorship network of co-authors of Maryam Siadat
This figure shows the co-authorship network connecting the top 25 collaborators of Maryam Siadat. A scholar is included among the top collaborators of Maryam Siadat 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 Siadat. Maryam Siadat 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 | 9 | |
| 3 | 6 | |
| 4 | 10 | |
| 5 | 15 | |
| 6 | 16 | |
| 7 | 45 | |
| 8 | 37 | |
| 9 | 49 | |
| 10 | 38 | |
| 11 | 30 | |
| 12 | Optimization of parameters for deposition of ZnO films by Sol-Gel using Taguchi method | 1 |
| 13 | From simple classification methods to machine learning for the binary discrimination of beers using electronic nose data | 32 |
| 14 | 43 | |
| 15 | 4 | |
| 16 | 25 | |
| 17 | 8 | |
| 18 | 1 | |
| 19 | Consistency assessment of bitterness sensory evaluation data for non-alcoholic beer. | 4 |
| 20 | 1 |
About Maryam Siadat
Maryam Siadat is a scholar working on Bioengineering, Electrochemistry and Biomedical Engineering, having authored 52 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Chemical Sensor Technologies (23 papers), Gas Sensing Nanomaterials and Sensors (18 papers) and Analytical Chemistry and Sensors (11 papers). The work is most often cited by research in Bioengineering (158 citations), Analytical Chemistry (179 citations) and Biomedical Engineering (712 citations). Maryam Siadat has collaborated with scholars based in France, Morocco and Iran. Frequent co-authors include Mahdi Ghasemi‐Varnamkhasti, Seyed Saeid Mohtasebi, Etienne Losson, Philippe Thévenin, Alexandre Sava, Bouchaíb Hartiti, J.F. Stoltz, M. Donner, Zahra Izadi and Ayat Mohammad‐Razdari. Their work appears in journals such as SHILAP Revista de lepidopterología, Trends in Food Science & Technology and Sensors.
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.