Elnaz Neinavaz

685 total citations
16 papers, 310 citations indexed

About

Elnaz Neinavaz is a scholar working on Ecology, Environmental Engineering and Plant Science. According to data from OpenAlex, Elnaz Neinavaz has authored 16 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Ecology, 9 papers in Environmental Engineering and 7 papers in Plant Science. Recurrent topics in Elnaz Neinavaz's work include Remote Sensing in Agriculture (9 papers), Urban Heat Island Mitigation (7 papers) and Leaf Properties and Growth Measurement (6 papers). Elnaz Neinavaz is often cited by papers focused on Remote Sensing in Agriculture (9 papers), Urban Heat Island Mitigation (7 papers) and Leaf Properties and Growth Measurement (6 papers). Elnaz Neinavaz collaborates with scholars based in Netherlands, Australia and Germany. Elnaz Neinavaz's co-authors include Andrew K. Skidmore, Roshanak Darvishzadeh, T.A. Groen, Max Gerhards, Martin Schlerf, Haidi Abdullah, Afshin Danehkar, Marco Heurich, Yulong Duan and Jessi L. Brown and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Plant and Soil.

In The Last Decade

Elnaz Neinavaz

14 papers receiving 303 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elnaz Neinavaz Netherlands 7 178 146 133 81 53 16 310
Si Gao China 9 241 1.4× 153 1.0× 144 1.1× 52 0.6× 86 1.6× 18 323
Zhanghua Xu China 11 166 0.9× 95 0.7× 256 1.9× 93 1.1× 78 1.5× 40 446
Marco A. Peña Chile 10 221 1.2× 189 1.3× 134 1.0× 59 0.7× 95 1.8× 26 378
Francesco Solano Italy 8 210 1.2× 119 0.8× 165 1.2× 58 0.7× 46 0.9× 15 333
Gleyce Kelly Dantas Araújo Figueiredo Brazil 10 210 1.2× 101 0.7× 89 0.7× 91 1.1× 42 0.8× 35 328
Zbigniew Bochenek Poland 11 179 1.0× 71 0.5× 84 0.6× 84 1.0× 107 2.0× 29 389
Eric Chavanon France 8 292 1.6× 212 1.5× 198 1.5× 80 1.0× 58 1.1× 15 402
Ronny Richter Germany 12 163 0.9× 86 0.6× 145 1.1× 81 1.0× 69 1.3× 24 348
Yo Shimizu Japan 11 234 1.3× 160 1.1× 182 1.4× 171 2.1× 91 1.7× 27 452

Countries citing papers authored by Elnaz Neinavaz

Since Specialization
Citations

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

Fields of papers citing papers by Elnaz Neinavaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elnaz Neinavaz

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

All Works

16 of 16 papers shown
1.
Abdullah, Haidi, Elnaz Neinavaz, Roshanak Darvishzadeh, et al.. (2025). Integrating process-based vegetation modelling with high-resolution imagery to assess bark beetle infestation and land surface temperature effects on forest net primary productivity. Remote Sensing Applications Society and Environment. 37. 101499–101499.
2.
Skidmore, Andrew K., Haidi Abdullah, Andjin Siegenthaler, et al.. (2025). eDNA biodiversity from space: predicting soil bacteria and fungi alpha diversity in forests using DESIS satellite remote sensing. International Journal of Remote Sensing. 1–31. 5 indexed citations
3.
Groot, G.A. de, Andrew K. Skidmore, Andjin Siegenthaler, et al.. (2025). Ground-lying deadwood volume promotes soil beta diversity but not alpha diversity in European temperate forests. Plant and Soil. 515(1). 579–596. 1 indexed citations
4.
Abdullah, Haidi, Andrew K. Skidmore, Andjin Siegenthaler, & Elnaz Neinavaz. (2025). High-Resolution prediction of soil pH in European temperate forests using Sentinel-2 and ancillary environmental data. Scientific Reports. 15(1). 28509–28509.
5.
Zhu, Xi, et al.. (2024). Comparison of functional and structural biodiversity using Sentinel-2 and airborne LiDAR data in agroforestry systems. Remote Sensing Applications Society and Environment. 35. 101252–101252. 1 indexed citations
6.
Skidmore, Andrew K., Haidi Abdullah, Andjin Siegenthaler, et al.. (2024). Forest soils further acidify in core Natura 2000 areas amongst unaware government policy. Ecological Indicators. 159. 111621–111621. 6 indexed citations
7.
Neinavaz, Elnaz, et al.. (2022). Prediction of leaf area index using thermal infrared data acquired by UAS over a mixed temperate forest. International Journal of Applied Earth Observation and Geoinformation. 114. 103049–103049. 4 indexed citations
8.
Neinavaz, Elnaz, Martin Schlerf, Roshanak Darvishzadeh, Max Gerhards, & Andrew K. Skidmore. (2021). Thermal infrared remote sensing of vegetation: Current status and perspectives. International Journal of Applied Earth Observation and Geoinformation. 102. 102415–102415. 69 indexed citations
9.
Neinavaz, Elnaz, Andrew K. Skidmore, & Roshanak Darvishzadeh. (2019). Effects of prediction accuracy of the proportion of vegetation cover on land surface emissivity and temperature using the NDVI threshold method. International Journal of Applied Earth Observation and Geoinformation. 85. 101984–101984. 80 indexed citations
10.
Neinavaz, Elnaz, Roshanak Darvishzadeh, Andrew K. Skidmore, & Haidi Abdullah. (2019). Integration of Landsat-8 Thermal and Visible-Short Wave Infrared Data for Improving Prediction Accuracy of Forest Leaf Area Index. Remote Sensing. 11(4). 390–390. 18 indexed citations
11.
Neinavaz, Elnaz, Andrew K. Skidmore, Roshanak Darvishzadeh, & T.A. Groen. (2017). Retrieving vegetation canopy water content from hyperspectral thermal measurements. Agricultural and Forest Meteorology. 247. 365–375. 34 indexed citations
12.
Neinavaz, Elnaz, Andrew K. Skidmore, Roshanak Darvishzadeh, & T.A. Groen. (2016). LEAF AREA INDEX RETRIEVED FROM THERMAL HYPERSPECTRAL DATA. SHILAP Revista de lepidopterología. XLI-B7. 99–105. 2 indexed citations
13.
Neinavaz, Elnaz, Andrew K. Skidmore, Roshanak Darvishzadeh, & T.A. Groen. (2016). Retrieval of leaf area index in different plant species using thermal hyperspectral data. ISPRS Journal of Photogrammetry and Remote Sensing. 119. 390–401. 57 indexed citations
14.
Neinavaz, Elnaz, Roshanak Darvishzadeh, Andrew K. Skidmore, & T.A. Groen. (2016). Measuring the response of canopy emissivity spectra to leaf area index variation using thermal hyperspectral data. International Journal of Applied Earth Observation and Geoinformation. 53. 40–47. 19 indexed citations
15.
16.
Neinavaz, Elnaz, et al.. (2010). Investigation of Great Egret (Casmerodius albus) breeding success in Hara Biosphere Reserve of Iran. Environmental Monitoring and Assessment. 179(1-4). 301–307. 9 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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