Eyal Ben Dor

3.7k total citations
55 papers, 1.3k citations indexed

About

Eyal Ben Dor is a scholar working on Environmental Engineering, Artificial Intelligence and Media Technology. According to data from OpenAlex, Eyal Ben Dor has authored 55 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Environmental Engineering, 27 papers in Artificial Intelligence and 17 papers in Media Technology. Recurrent topics in Eyal Ben Dor's work include Geochemistry and Geologic Mapping (27 papers), Soil Geostatistics and Mapping (26 papers) and Remote-Sensing Image Classification (16 papers). Eyal Ben Dor is often cited by papers focused on Geochemistry and Geologic Mapping (27 papers), Soil Geostatistics and Mapping (26 papers) and Remote-Sensing Image Classification (16 papers). Eyal Ben Dor collaborates with scholars based in Israel, Czechia and Germany. Eyal Ben Dor's co-authors include Anna Brook, Ian Lau, Cindy Ong, Asa Gholizadeh, Luboš Borůvka, Sabine Chabrillat, Mohammadmehdi Saberioon, Nikos Koutsias, Prashant K. Srivastava and Prem Chandra Pandey 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

Eyal Ben Dor

53 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eyal Ben Dor Israel 18 656 424 375 256 193 55 1.3k
Federico Santini Italy 16 404 0.6× 296 0.7× 423 1.1× 300 1.2× 151 0.8× 39 989
Maximilian Brell Germany 16 469 0.7× 292 0.7× 443 1.2× 294 1.1× 209 1.1× 36 998
Martin Bachmann Germany 16 362 0.6× 297 0.7× 428 1.1× 255 1.0× 273 1.4× 103 1.0k
Xinle Zhang China 23 1.1k 1.6× 574 1.4× 850 2.3× 149 0.6× 209 1.1× 93 1.7k
Christian Rogaß Germany 17 276 0.4× 335 0.8× 289 0.8× 354 1.4× 164 0.8× 40 1.1k
Veronika Kopačková Czechia 18 251 0.4× 334 0.8× 255 0.7× 275 1.1× 170 0.9× 51 868
Yongsheng Hong China 27 1.2k 1.9× 883 2.1× 502 1.3× 193 0.8× 147 0.8× 51 1.9k
Xiangyu Ge China 24 1.2k 1.8× 424 1.0× 796 2.1× 134 0.5× 508 2.6× 80 2.1k
Fabio Castaldi Italy 26 1.4k 2.1× 718 1.7× 1.0k 2.7× 108 0.4× 213 1.1× 48 1.9k

Countries citing papers authored by Eyal Ben Dor

Since Specialization
Citations

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

Fields of papers citing papers by Eyal Ben Dor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eyal Ben Dor. 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 Eyal Ben Dor. The network helps show where Eyal Ben Dor may publish in the future.

Co-authorship network of co-authors of Eyal Ben Dor

This figure shows the co-authorship network connecting the top 25 collaborators of Eyal Ben Dor. A scholar is included among the top collaborators of Eyal Ben Dor 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 Eyal Ben Dor. Eyal Ben Dor 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.
Brodrick, Philip G., et al.. (2025). Soil and vegetation cover estimation for global imaging spectroscopy using spectral mixture analysis. Remote Sensing of Environment. 324. 114746–114746.
2.
Dor, Eyal Ben, Nicolas Francos, Vahid Khosravi, et al.. (2024). A standard and protocol for in-situ measurement of surface soil reflectance. Geoderma. 447. 116920–116920. 5 indexed citations
3.
Francos, Nicolas, Paolo Nasta, Guido D’Urso, et al.. (2024). Mapping Soil Organic Carbon Stock Using Hyperspectral Remote Sensing: A Case Study in the Sele River Plain in Southern Italy. Remote Sensing. 16(5). 897–897. 4 indexed citations
4.
Thompson, David R., Philip G. Brodrick, Eyal Ben Dor, et al.. (2024). An accuracy assessment of the surface reflectance product from the EMIT imaging spectrometer. Remote Sensing of Environment. 315. 114450–114450. 1 indexed citations
5.
Rosin, Nícolas Augusto, Uemeson José dos Santos, Jorge Tadeu Fim Rosas, et al.. (2024). A Step Forward in Hybrid Soil Laboratory Analysis: Merging Chemometric Corrections, Protocols and Data-Driven Methods. Remote Sensing. 16(23). 4543–4543. 1 indexed citations
6.
Dor, Eyal Ben, et al.. (2023). Sustainable Digital Technologies for Smart Cities. 4 indexed citations
7.
Dor, Eyal Ben, et al.. (2023). Exploitation of the SoilPRO® (SP) apparatus to measure soil surface reflectance in the field: Five case studies. Geoderma. 438. 116636–116636. 10 indexed citations
8.
Francos, Nicolas, José Alexandre Melo Demattê, Bas van Wesemael, et al.. (2023). A Spectral Transfer Function to Harmonize Existing Soil Spectral Libraries Generated by Different Protocols. Applied and Environmental Soil Science. 2023. 1–17. 3 indexed citations
9.
Chabrillat, Sabine, et al.. (2023). P4005: The IEEE SA Standard and Protocol Scheme for Soil Spectral Measurement in Both Laboratory and Field. 2493–2495. 6 indexed citations
10.
Knadel, Maria, Fabio Castaldi, Roberto Barbetti, et al.. (2022). Mathematical techniques to remove moisture effects from visible–near-infrared–shortwave-infrared soil spectra—review . Applied Spectroscopy Reviews. 58(9). 629–662. 30 indexed citations
11.
Gholizadeh, Asa, Mohammadmehdi Saberioon, Eyal Ben Dor, et al.. (2021). vis–NIR and XRF Data Fusion and Feature Selection to Estimate Potentially Toxic Elements in Soil. Sensors. 21(7). 2386–2386. 28 indexed citations
12.
Manfreda, Salvatore, Helge Aasen, M. R. James, et al.. (2020). Current Practices in UAS-based Environmental Monitoring. Remote Sensing. 12(6). 1001–1001. 169 indexed citations
13.
Su, Zhongbo, Yijian Zeng, Nunzio Romano, et al.. (2020). An Integrative Information Aqueduct to Close the Gaps between Satellite Observation of Water Cycle and Local Sustainable Management of Water Resources. Water. 12(5). 1495–1495. 86 indexed citations
14.
Ciraolo, Giuseppe, Fulvio Capodici, Salvatore Manfreda, et al.. (2020). A Geostatistical Approach to Map Near-Surface Soil Moisture Through Hyperspatial Resolution Thermal Inertia. IEEE Transactions on Geoscience and Remote Sensing. 59(6). 5352–5369. 16 indexed citations
15.
16.
Green, Robert, N. M. Mahowald, B. L. Ehlmann, et al.. (2019). The Earth Surface Mineral Dust Source Investigation Planned for the International Space Station. EGUGA. 10660. 3 indexed citations
17.
Pandey, Prem Chandra, Nikos Koutsias, George P. Petropoulos, Prashant K. Srivastava, & Eyal Ben Dor. (2019). Land use/land cover in view of earth observation: data sources, input dimensions, and classifiers—a review of the state of the art. Geocarto International. 36(9). 957–988. 127 indexed citations
18.
Mahowald, N. M., R. N. Clark, B. L. Ehlmann, et al.. (2018). NASA's Earth Surface Mineral Dust Source Investigation. AGU Fall Meeting Abstracts. 2018. 13 indexed citations
19.
Anker, Yaakov, Yaron Hershkovitz, Eyal Ben Dor, & Avital Gasith. (2013). APPLICATION OF AERIAL DIGITAL PHOTOGRAPHY FOR MACROPHYTE COVER AND COMPOSITION SURVEY IN SMALL RURAL STREAMS. River Research and Applications. 30(7). 925–937. 15 indexed citations
20.
Crouvi, Onn, et al.. (2001). Geomorphic mapping using field spectrometer and hyperspectral sensor; Wadi Raham alluvial fan as a case study. 2001. 22. 2 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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