Hamed Naghavi

425 total citations
20 papers, 325 citations indexed

About

Hamed Naghavi is a scholar working on Ecology, Environmental Engineering and Nature and Landscape Conservation. According to data from OpenAlex, Hamed Naghavi has authored 20 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Ecology, 11 papers in Environmental Engineering and 8 papers in Nature and Landscape Conservation. Recurrent topics in Hamed Naghavi's work include Remote Sensing and LiDAR Applications (11 papers), Remote Sensing in Agriculture (10 papers) and Forest ecology and management (7 papers). Hamed Naghavi is often cited by papers focused on Remote Sensing and LiDAR Applications (11 papers), Remote Sensing in Agriculture (10 papers) and Forest ecology and management (7 papers). Hamed Naghavi collaborates with scholars based in Iran, Germany and Sweden. Hamed Naghavi's co-authors include Tien Dat Pham, Dieu Tien Bui, Hooman Latifi, Rahim Maleknia, Aidin Parsakhoo, Fabian Ewald Fassnacht, Ebrahim Omidvar, Asghar Fallah, Christopher Conrad and Shaban Shataee and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Remote Sensing and Remote Sensing.

In The Last Decade

Hamed Naghavi

19 papers receiving 316 citations

Peers

Hamed Naghavi

ECOLO

NLC

GPC

Francisca Rocha de Souza Pereira Brazil

Werner Mücke Austria

Katsuto Shimizu Japan

Sujit Madhab Ghosh India

Olga Brovkina Czechia

Prahlad Jat United States

Hamdan Omar Malaysia

Poonam Tripathi India

Suzanne Furby Australia

Boalidioa Tankoano Burkina Faso

Francisca Rocha de Souza Pereira Brazil

Hamed Naghavi

165 ×0.8

181 ×0.9

ECOLO

106 ×0.9

NLC

88 ×0.8

GPC

18 ×0.5

Citations per year, relative to Hamed Naghavi Hamed Naghavi (= 1×) peers Francisca Rocha de Souza Pereira

Countries citing papers authored by Hamed Naghavi

Since Specialization

Citations

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

Fields of papers citing papers by Hamed Naghavi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hamed Naghavi

This figure shows the co-authorship network connecting the top 25 collaborators of Hamed Naghavi. A scholar is included among the top collaborators of Hamed Naghavi 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 Hamed Naghavi. Hamed Naghavi 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

Latifi, Hooman, et al.. (2024). A novel linear spectral unmixing-based method for tree decline monitoring by fusing UAV-RGB and optical space-borne data. International Journal of Remote Sensing. 45(4). 1079–1109. 3 indexed citations

Naghavi, Hamed, et al.. (2024). Correction to: The effect of land use and land cover changes on soil erosion in semi-arid areas using cloud‑based google earth engine platform and GIS‑based RUSLE model. Natural Hazards. 120(8). 8095–8099. 1 indexed citations

Naghavi, Hamed, et al.. (2024). The effect of land use and land cover changes on soil erosion in semi-arid areas using cloud-based google earth engine platform and GIS-based RUSLE model. Natural Hazards. 120(7). 6901–6922. 6 indexed citations

Naghavi, Hamed, et al.. (2023). Estimation of Biomass and Its Reduction in Forests Affected by Decline in DadAbad Region, Lorestan Province. 11(21). 170–178.

Latifi, Hooman, et al.. (2023). Combination of UAV Photogrammetry and Field Inventories Enables Description of Height–Diameter Relationship within Semi-Arid Silvopastoral Systems. Remote Sensing. 15(21). 5261–5261. 4 indexed citations

Naghavi, Hamed, et al.. (2022). A novel vegetation index-based workflow for semi-arid, sparse woody cover mapping. Journal of Arid Environments. 201. 104748–104748. 11 indexed citations

Naghavi, Hamed, et al.. (2022). Estimating the attributes of urban trees using terrestrial photogrammetry. Environmental Monitoring and Assessment. 194(9). 625–625. 4 indexed citations

Maleknia, Rahim, et al.. (2022). REDD+: The Opportunity for Sustainable Management in Zagros Forests. Journal of Sustainable Forestry. 42(10). 1004–1019. 15 indexed citations

Naghavi, Hamed, et al.. (2020). A Nondestructive, Remote Sensing-Based Estimation of the Economic Value of Aboveground Temperate Forest Biomass (Case Study: Hyrcanian Forests, Nowshahr-Iran). Journal of Sustainable Forestry. 39(7). 750–770. 6 indexed citations

10.

Naghavi, Hamed, et al.. (2020). Comparing the Capability of Sentinel 2 and Landsat 8 Satellite Imagery in Land Use and Land Cover Mapping Using Pixel-based and Object-based Classification Methods. 8(25). 1–12. 2 indexed citations

11.

Shataee, Shaban, et al.. (2020). Mapping of understory infested boxwood trees using high resolution imagery. Remote Sensing Applications Society and Environment. 18. 100289–100289. 2 indexed citations

12.

Latifi, Hooman, et al.. (2020). Influence of plot and sample sizes on aboveground biomass estimations in plantation forests using very high resolution stereo satellite imagery. Forestry An International Journal of Forest Research. 94(2). 278–291. 12 indexed citations

13.

Naghavi, Hamed, et al.. (2019). Estimating biomass and carbon sequestration of plantations around industrial areas using very high resolution stereo satellite imagery. iForest - Biogeosciences and Forestry. 12(6). 533–541. 9 indexed citations

14.

Naghavi, Hamed, et al.. (2018). Estimation of Forest Crown Density Using Pleiades Satellite Data and Nonparametric Classification Method. Journal of the Indian Society of Remote Sensing. 46(7). 1151–1158. 3 indexed citations

15.

Naghavi, Hamed, et al.. (2018). Improving Accuracy Estimation of Forest Aboveground Biomass Based on Incorporation of ALOS-2 PALSAR-2 and Sentinel-2A Imagery and Machine Learning: A Case Study of the Hyrcanian Forest Area (Iran). Remote Sensing. 10(2). 172–172. 215 indexed citations

16.

Grafström, Anton, et al.. (2016). Evaluation of K-tree Distance and Fixed-Sized Plot Sampling in Zagros Forests of Western Iran. Journal of Agricultural Science and Technology. 18(1). 155–170. 3 indexed citations

17.

Naghavi, Hamed, et al.. (2014). Canopy cover estimation across semi-Mediterranean woodlands: application of high-resolution earth observation data. Journal of Applied Remote Sensing. 8(1). 83524–83524. 6 indexed citations

18.

Fallah, Asghar, et al.. (2012). INVESTIGATION ON FOUR SAMPLING METHODS FOR CANOPY COVER ESTIMATION IN ZAGROS OAK FORESTS (CASE STUDY: MEHRIAN FORESTS OF YASUJ CITY). SHILAP Revista de lepidopterología. 20(248). 194–203. 3 indexed citations

19.

Parsakhoo, Aidin, et al.. (2011). Effect of salt stress on germination and seedling growth of Prosopis juliflora (Sw.). New Forests. 43(1). 45–55. 19 indexed citations

20.

Naghavi, Hamed, et al.. (2009). Investigation of Sampling Method Application with Fixed Plot in Sampling of Coppice Forests (Case Study: Oak Coppice Forests in Central Zagros). Journal of Applied Sciences. 9(5). 997–1000. 1 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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