Sajad Jamshidi

970 total citations
37 papers, 691 citations indexed

About

Sajad Jamshidi is a scholar working on Global and Planetary Change, Environmental Engineering and Atmospheric Science. According to data from OpenAlex, Sajad Jamshidi has authored 37 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Global and Planetary Change, 12 papers in Environmental Engineering and 8 papers in Atmospheric Science. Recurrent topics in Sajad Jamshidi's work include Plant Water Relations and Carbon Dynamics (11 papers), Climate variability and models (8 papers) and Hydrology and Watershed Management Studies (6 papers). Sajad Jamshidi is often cited by papers focused on Plant Water Relations and Carbon Dynamics (11 papers), Climate variability and models (8 papers) and Hydrology and Watershed Management Studies (6 papers). Sajad Jamshidi collaborates with scholars based in United States, Iran and China. Sajad Jamshidi's co-authors include Dev Niyogi, Shahrokh Zand‐Parsa, Ommolbanin Bazrafshan, Ali Akbar Kamgar‐Haghighi, Davide Cammarano, Ali Reza Shahsavar, Alex C. Ruane, Domenico Ronga, Gerrit Hoogenboom and HongGuang Sun and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Geophysical Research Letters.

In The Last Decade

Sajad Jamshidi

33 papers receiving 663 citations

Peers

Sajad Jamshidi

GPC

ECOLO

WST

Abiodun M. Adeola South Africa

Hadi Jaafar Lebanon

Sara Bonetti Switzerland

Adeyemi Olusola Nigeria

Aviva Peeters Israel

Umesh Adhikari United States

Gholamabbas Ghanbarian Iran

Samuel Adelabu South Africa

Zemeng Fan China

Christina M. Botai South Africa

Abiodun M. Adeola South Africa

Sajad Jamshidi

492 ×1.5

GPC

97 ×0.5

76 ×0.4

142 ×1.0

ECOLO

172 ×1.3

WST

Citations per year, relative to Sajad Jamshidi Sajad Jamshidi (= 1×) peers Abiodun M. Adeola

Countries citing papers authored by Sajad Jamshidi

Since Specialization

Citations

This map shows the geographic impact of Sajad Jamshidi'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 Jamshidi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sajad Jamshidi more than expected).

Fields of papers citing papers by Sajad Jamshidi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sajad Jamshidi. 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 Jamshidi. The network helps show where Sajad Jamshidi may publish in the future.

Co-authorship network of co-authors of Sajad Jamshidi

This figure shows the co-authorship network connecting the top 25 collaborators of Sajad Jamshidi. A scholar is included among the top collaborators of Sajad Jamshidi 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 Jamshidi. Sajad Jamshidi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kantar, Michael B., Patrick M. Ewing, Sajad Jamshidi, et al.. (2025). Computational design for more engaged, impactful, and dynamic agricultural research. Crop Science. 65(2).

Jamshidi, Sajad, et al.. (2025). Effects of precipitation changes and human activities on surface flow in an arid region of Southern Iran. Groundwater for Sustainable Development. 29. 101434–101434. 1 indexed citations

Zamanı, Hossein, et al.. (2025). Enhancing drought monitoring with a multivariate hydrometeorological index and machine learning-based prediction in the south of Iran. Environmental Science and Pollution Research. 32(9). 5605–5627. 3 indexed citations

Jamshidi, Sajad, et al.. (2024). Drought dynamics in California and Mississippi: A wavelet analysis of meteorological to agricultural drought transition. Journal of Environmental Management. 370. 122883–122883. 12 indexed citations

Jamshidi, Sajad, et al.. (2024). Multifractal Description of the Agricultural and Meteorological Drought Propagation Process. Water Resources Management. 38(10). 3607–3622. 6 indexed citations

Jamshidi, Sajad, et al.. (2023). Modeling interactions of planting date and phenology in Louisiana rice under current and future climate conditions. Crop Science. 64(4). 2274–2287. 3 indexed citations

Patel, Pratiman, Sajad Jamshidi, Raghu Nadimpalli, et al.. (2023). Impact of Urban Representation on Simulation of Hurricane Rainfall. Geophysical Research Letters. 50(21). 2 indexed citations

Bazrafshan, Ommolbanin, et al.. (2023). Modeling Future Hydrological Characteristics Based on Land Use/Land Cover and Climate Changes Using the SWAT Model. Water Resources Management. 37(10). 4177–4194. 31 indexed citations

Bazrafshan, Ommolbanin, et al.. (2023). Impacts of climate change on water footprint components of rainfed and irrigated wheat in a semi-arid environment. Environmental Monitoring and Assessment. 195(2). 324–324. 20 indexed citations

10.

Wang, Dayong, et al.. (2023). Resolving Trans-Boundary Water Conflicts: Third-Party Mediation Using an Inverse Approach of GMCR Under Incomplete Preference Environments. Water Resources Management. 37(15). 6071–6088. 4 indexed citations

11.

Singh, Manmeet, Nachiketa Acharya, Pratiman Patel, et al.. (2023). A modified deep learning weather prediction using cubed sphere for global precipitation. Frontiers in Climate. 4. 4 indexed citations

12.

Sardooi, Elham Rafiei, Ommolbanin Bazrafshan, & Sajad Jamshidi. (2023). Modeling the water security in a watershed using the water footprint concept and water scarcity indicators. Water Science & Technology Water Supply. 24(1). 235–253. 5 indexed citations

13.

Singh, Manmeet, Nachiketa Acharya, Sajad Jamshidi, et al.. (2023). DownScaleBench for developing and applying a deep learning based urban climate downscaling- first results for high-resolution urban precipitation climatology over Austin, Texas. SHILAP Revista de lepidopterología. 3(1). 22–22. 4 indexed citations

14.

Zand‐Parsa, Shahrokh, et al.. (2023). Developing machine learning models for wheat yield prediction using ground-based data, satellite-based actual evapotranspiration and vegetation indices. European Journal of Agronomy. 146. 126820–126820. 33 indexed citations

15.

Cammarano, Davide, Sajad Jamshidi, Gerrit Hoogenboom, et al.. (2022). Publisher Correction: Processing tomato production is expected to decrease by 2050 due to the projected increase in temperature. Nature Food. 3(7). 552–552.

16.

Cammarano, Davide, Sajad Jamshidi, Gerrit Hoogenboom, et al.. (2022). Processing tomato production is expected to decrease by 2050 due to the projected increase in temperature. Nature Food. 3(6). 437–444. 74 indexed citations

17.

Jamshidi, Sajad, et al.. (2022). Spatial prioritization of tomato cultivation based on water footprint, land productivity, and economic indices. Irrigation and Drainage. 71(5). 1363–1378. 4 indexed citations

18.

Jamshidi, Sajad, et al.. (2021). COVID-19 in Asia: Transmission factors, re-opening policies, and vaccination simulation. Environmental Research. 202. 111657–111657. 33 indexed citations

19.

Jamshidi, Sajad, et al.. (2020). Global to USA County Scale Analysis of Weather, Urban Density, Mobility, Homestay, and Mask Use on COVID-19. International Journal of Environmental Research and Public Health. 17(21). 7847–7847. 56 indexed citations

20.

Jamshidi, Sajad, et al.. (2020). Evaluating the performances of over-the-counter companies in developing countries using a stochastic dominance criterion and a PSO-ANN hybrid optimization model. Journal of Applied Accounting Research. 21(3). 563–582.

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.

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