Sajad Sabzi
- Plant Science top 5%
- Analytical Chemistry top 0.5%
- Biomedical Engineering
- Ecology top 10%
- Food Science top 10%
- Co-authors
- Yousef Abbaspour‐GilandehJuan Ignacio ArribasGinés Garcı́a-MateosRazieh PourdarbaniJosé Miguel Molina‐MartínezHossein JavadikiaDavood KalantariJosé Luis Hernández-Hernández
- Topics
- Spectroscopy and Chemometric Analyses (52 papers)Smart Agriculture and AI (33 papers)Leaf Properties and Growth Measurement (17 papers)
- Journals
- SHILAP Revista de lepidopterologíaRemote SensingJournal of Food Science
In The Last Decade
Sajad Sabzi
59 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 95
- Plant Science 745
- Analytical Chemistry 625
- Biomedical Engineering 174
- Ecology 152
- Food Science 120
Countries citing papers authored by Sajad Sabzi
This map shows the geographic impact of Sajad Sabzi'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 Sajad Sabzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sajad Sabzi more than expected).
Fields of papers citing papers by Sajad Sabzi
This network shows the impact of papers produced by Sajad Sabzi. 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 Sajad Sabzi. The network helps show where Sajad Sabzi may publish in the future.
Co-authorship network of co-authors of Sajad Sabzi
This figure shows the co-authorship network connecting the top 25 collaborators of Sajad Sabzi. A scholar is included among the top collaborators of Sajad Sabzi 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 Sajad Sabzi. Sajad Sabzi 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 | 9 | |
| 3 | 14 | |
| 4 | 16 | |
| 5 | 13 | |
| 6 | 58 | |
| 7 | 5 | |
| 8 | 35 | |
| 9 | 19 | |
| 10 | 7 | |
| 11 | 12 | |
| 12 | 23 | |
| 13 | 1 | |
| 14 | 33 | |
| 15 | 8 | |
| 16 | 47 | |
| 17 | 0 | |
| 18 | 20 | |
| 19 | Study of the yield and some important plant of common bean (Phaseolus vulgaris) genotypes at different moisture levels. | 1 |
| 20 | 5 |
About Sajad Sabzi
Sajad Sabzi is a scholar working on Analytical Chemistry, Plant Science and Industrial and Manufacturing Engineering, having authored 61 papers that have together received 1.1k indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (52 papers), Smart Agriculture and AI (33 papers) and Leaf Properties and Growth Measurement (17 papers). The work is most often cited by research in Analytical Chemistry (625 citations), Plant Science (745 citations) and Industrial and Manufacturing Engineering (111 citations). Sajad Sabzi has collaborated with scholars based in Iran, Spain and Mexico. Frequent co-authors include Yousef Abbaspour‐Gilandeh, Juan Ignacio Arribas, Ginés Garcı́a-Mateos, Razieh Pourdarbani, José Miguel Molina‐Martínez, Hossein Javadikia, Davood Kalantari, José Luis Hernández-Hernández, Mohammad Hossein Rohban and Jitendra Paliwal. Their work appears in journals such as SHILAP Revista de lepidopterología, Remote Sensing and Journal of Food Science.
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.