Alireza Tabatabaeenejad

1.2k total citations
48 papers, 708 citations indexed

About

Alireza Tabatabaeenejad is a scholar working on Environmental Engineering, Atmospheric Science and Aerospace Engineering. According to data from OpenAlex, Alireza Tabatabaeenejad has authored 48 papers receiving a total of 708 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Environmental Engineering, 30 papers in Atmospheric Science and 15 papers in Aerospace Engineering. Recurrent topics in Alireza Tabatabaeenejad's work include Soil Moisture and Remote Sensing (41 papers), Cryospheric studies and observations (14 papers) and Precipitation Measurement and Analysis (14 papers). Alireza Tabatabaeenejad is often cited by papers focused on Soil Moisture and Remote Sensing (41 papers), Cryospheric studies and observations (14 papers) and Precipitation Measurement and Analysis (14 papers). Alireza Tabatabaeenejad collaborates with scholars based in United States, Germany and Denmark. Alireza Tabatabaeenejad's co-authors include Mahta Moghaddam, Mariko Burgin, Richard H. Chen, Xueyang Duan, Richard H. Cuenca, Sermsak Jaruwatanadilok, Wade T. Crow, Ke Zhang, P. R. Moorcroft and Ashehad A. Ali and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Alireza Tabatabaeenejad

44 papers receiving 683 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alireza Tabatabaeenejad United States 13 475 311 147 128 95 48 708
Peter Coppo Italy 13 367 0.8× 330 1.1× 345 2.3× 80 0.6× 55 0.6× 48 765
Xiaolan Xu United States 20 792 1.7× 822 2.6× 247 1.7× 67 0.5× 53 0.6× 76 1.2k
Tzong‐Dar Wu Taiwan 8 785 1.7× 577 1.9× 370 2.5× 152 1.2× 83 0.9× 20 933
Simon Kraatz United States 17 224 0.5× 299 1.0× 100 0.7× 85 0.7× 29 0.3× 51 792
Jiancheng Shi United States 9 738 1.6× 527 1.7× 397 2.7× 157 1.2× 38 0.4× 36 824
Jiancheng Shi China 6 595 1.3× 481 1.5× 215 1.5× 82 0.6× 52 0.5× 12 684
P. Borderies France 15 274 0.6× 224 0.7× 335 2.3× 126 1.0× 96 1.0× 69 731
K.S. Chen United States 4 821 1.7× 572 1.8× 427 2.9× 179 1.4× 75 0.8× 10 1.0k
Mariko Burgin United States 13 728 1.5× 582 1.9× 220 1.5× 79 0.6× 14 0.1× 47 867
Pasquale Imperatore Italy 14 292 0.6× 163 0.5× 362 2.5× 121 0.9× 128 1.3× 62 850

Countries citing papers authored by Alireza Tabatabaeenejad

Since Specialization
Citations

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

Fields of papers citing papers by Alireza Tabatabaeenejad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alireza Tabatabaeenejad

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

All Works

20 of 20 papers shown
1.
Jagdhuber, Thomas, Carsten Montzka, Maike Schumacher, et al.. (2024). Soil moisture profile estimation by combining P-band SAR polarimetry with hydrological and multi-layer scattering models. Remote Sensing of Environment. 305. 114067–114067. 5 indexed citations
2.
Tabatabaeenejad, Alireza, Richard H. Chen, Mariko Burgin, et al.. (2020). Assessment and Validation of AirMOSS P-Band Root-Zone Soil Moisture Products. IEEE Transactions on Geoscience and Remote Sensing. 58(9). 6181–6196. 16 indexed citations
3.
Chen, Richard H., N. Pinto, Xueyang Duan, Alireza Tabatabaeenejad, & Mahta Moghaddam. (2020). Mapping Tree Canopy Cover and Canopy Height with L-Band SAR Using LiDAR Data and Random Forests. 4136–4139. 4 indexed citations
4.
Zhang, Ke, Ashehad A. Ali, Alexander S. Antonarakis, et al.. (2019). The Sensitivity of North American Terrestrial Carbon Fluxes to Spatial and Temporal Variation in Soil Moisture: An Analysis Using Radar‐Derived Estimates of Root‐Zone Soil Moisture. Journal of Geophysical Research Biogeosciences. 124(11). 3208–3231. 117 indexed citations
5.
Chen, Richard H., Alireza Tabatabaeenejad, & Mahta Moghaddam. (2019). Retrieval of Permafrost Active Layer Properties Using Time-Series P-Band Radar Observations. IEEE Transactions on Geoscience and Remote Sensing. 57(8). 6037–6054. 39 indexed citations
6.
Moghaddam, Mahta, et al.. (2019). Enhancement of Permafrost Soil Properties Estimation for Organic-Rich Arctic Soils Using P-Band Radar. AGUFM. 2019. 1 indexed citations
7.
Tabatabaeenejad, Alireza, et al.. (2019). Retrieval of Subsurface Soil Moisture Profiles from L-Band and P-Band Reflectometry. 1328–1328. 1 indexed citations
8.
Tabatabaeenejad, Alireza, et al.. (2019). ABoVE: Active Layer and Soil Moisture Properties from AirMOSS P-band SAR in Alaska. Oak Ridge National Laboratory Distributed Active Archive Center for Biogeochemical Dynamics. 3 indexed citations
9.
Crow, Wade T., Mahta Moghaddam, Alireza Tabatabaeenejad, et al.. (2018). Spatial and Temporal Variability of Root-Zone Soil Moisture Acquired From Hydrologic Modeling and AirMOSS P-Band Radar. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(12). 4578–4590. 11 indexed citations
10.
Tabatabaeenejad, Alireza, et al.. (2018). Low frequency behavior of organic soil for a multi-phase study of a permafrost soil dielectric model. AGU Fall Meeting Abstracts. 2018. 1 indexed citations
11.
Yi, Yonghong, et al.. (2018). Profile representation of permafrost active layer properties in support of radar retrievals. AGU Fall Meeting Abstracts. 2018.
12.
Chen, Richard H., Alireza Tabatabaeenejad, & Mahta Moghaddam. (2017). Retrieval of permafrost active layer properties using P-band airmoss and L-band UAVSAR data. 1415–1418. 7 indexed citations
13.
Hasanlou, Mahdi, et al.. (2017). ESTIMATING SOIL MOISTURE USING POLSAR DATA:A MACHINE LEARNING APPROACH. SHILAP Revista de lepidopterología. XLII-4/W4. 133–137. 5 indexed citations
14.
Sadeghi, Morteza, Alireza Tabatabaeenejad, Markus Tuller, Mahta Moghaddam, & Scott B. Jones. (2016). Advancing the AirMOSS P-Band Radar Root Zone Soil Moisture Retrieval Algorithm via Incorporation of Richards’ Equation. Preprints.org. 5 indexed citations
15.
Moghaddam, Mahta, Dara Entekhabi, P. R. Moorcroft, et al.. (2015). Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS) Earth Venture Suborbital Mission Overview. AGU Fall Meeting Abstracts. 2015. 1 indexed citations
16.
Tabatabaeenejad, Alireza, Mariko Burgin, Xueyang Duan, & Mahta Moghaddam. (2014). P-Band Radar Retrieval of Subsurface Soil Moisture Profile as a Second-Order Polynomial: First AirMOSS Results. IEEE Transactions on Geoscience and Remote Sensing. 53(2). 645–658. 105 indexed citations
17.
Burgin, Mariko, et al.. (2012). Analysis of impact of heterogeneity at landscape level in retrieval of soil moisture from low-frequency radars. AGUFM. 2012.
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Tabatabaeenejad, Alireza & Mahta Moghaddam. (2004). Backscattering of electromagnetic waves from layered rough surfaces and its application in estimating deep soil moisture. 5. 3530–3532. 6 indexed citations

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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