Tarin Paz‐Kagan

1.3k total citations
45 papers, 963 citations indexed

About

Tarin Paz‐Kagan is a scholar working on Global and Planetary Change, Ecology and Environmental Engineering. According to data from OpenAlex, Tarin Paz‐Kagan has authored 45 papers receiving a total of 963 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Global and Planetary Change, 18 papers in Ecology and 15 papers in Environmental Engineering. Recurrent topics in Tarin Paz‐Kagan's work include Remote Sensing in Agriculture (16 papers), Plant Water Relations and Carbon Dynamics (11 papers) and Soil Geostatistics and Mapping (10 papers). Tarin Paz‐Kagan is often cited by papers focused on Remote Sensing in Agriculture (16 papers), Plant Water Relations and Carbon Dynamics (11 papers) and Soil Geostatistics and Mapping (10 papers). Tarin Paz‐Kagan collaborates with scholars based in Israel, United States and Germany. Tarin Paz‐Kagan's co-authors include Arnon Karnieli, Eli Zaady, Moshe Shachak, Natalya Panov, Noa Ohana‐Levi, Gregory P. Asner, Micha Silver, Koren R. Nydick, Adrian J. Das and Nathan L. Stephenson and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and Ecological Applications.

In The Last Decade

Tarin Paz‐Kagan

42 papers receiving 936 citations

Peers

Tarin Paz‐Kagan

ECOLO

GPC

Kabir Peerbhay South Africa

Saleem Ullah Pakistan

Isabel Pôças Portugal

A. C. Coutinho Brazil

Júlio César Brazil

Wang Zhou United States

Manuel Sánchez de la Orden Spain

Yueming Hu China

Zhenwang Li China

D. G. Sullivan United States

Kabir Peerbhay South Africa

Tarin Paz‐Kagan

655 ×1.8

ECOLO

277 ×0.9

GPC

341 ×1.3

127 ×0.7

48 ×0.3

Citations per year, relative to Tarin Paz‐Kagan Tarin Paz‐Kagan (= 1×) peers Kabir Peerbhay

Countries citing papers authored by Tarin Paz‐Kagan

Since Specialization

Citations

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

Fields of papers citing papers by Tarin Paz‐Kagan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tarin Paz‐Kagan. 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 Tarin Paz‐Kagan. The network helps show where Tarin Paz‐Kagan may publish in the future.

Co-authorship network of co-authors of Tarin Paz‐Kagan

This figure shows the co-authorship network connecting the top 25 collaborators of Tarin Paz‐Kagan. A scholar is included among the top collaborators of Tarin Paz‐Kagan 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 Tarin Paz‐Kagan. Tarin Paz‐Kagan 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

Osem, Yagil, et al.. (2025). Integrated terrestrial and airborne LiDAR systems to monitor stand structure variations in dryland forests affected by thinning treatments. Remote Sensing Applications Society and Environment. 39. 101725–101725.

Paz‐Kagan, Tarin, et al.. (2025). Bridging the gap between leaf and canopy nitrogen content in almond orchard with UAV-based sensor fusion. Smart Agricultural Technology. 12. 101355–101355.

Linker, Raphael, et al.. (2025). Multi-scale remote sensing for sustainable citrus farming: Predicting canopy nitrogen content using UAV-satellite data fusion. Smart Agricultural Technology. 11. 100906–100906. 3 indexed citations

Paz‐Kagan, Tarin, et al.. (2024). Identifying climatic drivers of forage quantity and quality in Mediterranean rangelands using remote sensing. The Science of The Total Environment. 957. 177797–177797. 3 indexed citations

Orozco, Jessica, et al.. (2024). Losing ground: projections of climate-driven bloom shifts and their implications for the future of California’s almond orchards. Scientific Reports. 14(1). 636–636. 1 indexed citations

Sternberg, Marcelo, et al.. (2023). Testing a novel pasture quality index using remote sensing tools in semiarid and Mediterranean grasslands. Agriculture Ecosystems & Environment. 357. 108674–108674. 9 indexed citations

Lati, Ran Nisim, et al.. (2023). Monitoring the effects of weed management strategies on tree canopy structure and growth using UAV-LiDAR in a young almond orchard. Computers and Electronics in Agriculture. 216. 108467–108467. 9 indexed citations

Sadka, Avi, et al.. (2023). Explainable machine learning for revealing causes of citrus fruit cracking on a regional scale. Precision Agriculture. 25(2). 589–613. 5 indexed citations

Osem, Yagil, et al.. (2023). Satellite-based assessment of water use and leaf area efficiencies of dryland conifer forests along an aridity gradient. The Science of The Total Environment. 902. 165977–165977. 5 indexed citations

10.

Paz‐Kagan, Tarin, et al.. (2023). Detection of goat herding impact on vegetation cover change using multi-season, multi-herd tracking and satellite imagery. The Science of The Total Environment. 895. 164830–164830. 6 indexed citations

11.

Sternberg, Marcelo, et al.. (2022). Estimation of aboveground biomass production using an unmanned aerial vehicle (UAV) and VENμS satellite imagery in Mediterranean and semiarid rangelands. Remote Sensing Applications Society and Environment. 26. 100753–100753. 2 indexed citations

12.

Chalupowicz, Daniel, Dalia Maurer, Shimon Barel, et al.. (2022). Multivariate classification of cannabis chemovars based on their terpene and cannabinoid profiles. Phytochemistry. 200. 113215–113215. 30 indexed citations

13.

Chalupowicz, Daniel, Dalia Maurer, Shimon Barel, et al.. (2022). Use of near-infrared spectroscopy for the classification of medicinal cannabis cultivars and the prediction of their cannabinoid and terpene contents. Phytochemistry. 204. 113445–113445. 25 indexed citations

14.

Paz‐Kagan, Tarin, et al.. (2021). Assessment of plant species distribution and diversity along a climatic gradient from Mediterranean woodlands to semi-arid shrublands. GIScience & Remote Sensing. 58(6). 929–953. 21 indexed citations

15.

Karnieli, Arnon, Noa Ohana‐Levi, Micha Silver, et al.. (2019). Spatial and Seasonal Patterns in Vegetation Growth-Limiting Factors over Europe. Remote Sensing. 11(20). 2406–2406. 28 indexed citations

16.

Paz‐Kagan, Tarin & Gregory P. Asner. (2017). Drivers of woody canopy water content responses to drought in a Mediterranean‐type ecosystem. Ecological Applications. 27(7). 2220–2233. 9 indexed citations

17.

Herrmann, Ittai, et al.. (2017). Spectral assessment of two-spotted spider mite damage levels in the leaves of greenhouse-grown pepper and bean. Biosystems Engineering. 157. 72–85. 29 indexed citations

18.

Paz‐Kagan, Tarin, Nicholas R. Vaughn, Roberta E. Martin, et al.. (2017). Landscape-scale variation in canopy water content of giant sequoias during drought. Forest Ecology and Management. 419-420. 291–304. 26 indexed citations

19.

Paz‐Kagan, Tarin, Eli Zaady, Andreas Schmidt, et al.. (2015). Mapping the Spectral Soil Quality Index (SSQI) Using Airborne Imaging Spectroscopy. Remote Sensing. 7(11). 15748–15781. 34 indexed citations

20.

Rozenstein, Offer, et al.. (2014). Comparing the Effect of Preprocessing Transformations on Methods of Land-Use Classification Derived From Spectral Soil Measurements. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 8(6). 2393–2404. 37 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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