Michal Shimoni

2.0k total citations · 1 hit paper
66 papers, 1.6k citations indexed

About

Michal Shimoni is a scholar working on Media Technology, Aerospace Engineering and Environmental Engineering. According to data from OpenAlex, Michal Shimoni has authored 66 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Media Technology, 19 papers in Aerospace Engineering and 16 papers in Environmental Engineering. Recurrent topics in Michal Shimoni's work include Remote-Sensing Image Classification (36 papers), Remote Sensing in Agriculture (11 papers) and Remote Sensing and Land Use (10 papers). Michal Shimoni is often cited by papers focused on Remote-Sensing Image Classification (36 papers), Remote Sensing in Agriculture (11 papers) and Remote Sensing and Land Use (10 papers). Michal Shimoni collaborates with scholars based in Belgium, Argentina and France. Michal Shimoni's co-authors include Christiaan Perneel, Rob Haelterman, Sabine Vanhuysse, Taïs Grippa, Stefanos Georganos, Éléonore Wolff, Moritz Lennert, Gabriele Moser, Devis Tuia and Stamatis Kalogirou and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Remote Sensing.

In The Last Decade

Michal Shimoni

63 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Hyperspectral Imaging for Military and Security Applications: Combining Myriad Processing and Sensing Techniques

2019 339 citations Michal Shimoni, Rob Haelterman et al. IEEE Geoscience and Remote Sensing Magazine profile →

Peers

Michal Shimoni

MT

AS

CVPR

EE

ECOLO

Linlin Xu Canada

Carl Salvaggio United States

Raffaele Gaetano France

Marco Körner Germany

Xiaokang Zhang China

Erzhu Li China

Ronny Hänsch Germany

Costas Armenakis Canada

Zhengchao Chen China

Yuebin Wang China

Linlin Xu Canada

Michal Shimoni

502 ×0.6

MT

626 ×1.9

AS

356 ×1.1

CVPR

404 ×1.3

EE

219 ×0.7

ECOLO

Citations per year, relative to Michal Shimoni Michal Shimoni (= 1×) peers Linlin Xu

Countries citing papers authored by Michal Shimoni

Since Specialization

Citations

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

Fields of papers citing papers by Michal Shimoni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michal Shimoni

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

1.

Andreo, Verónica, Charles Beumier, Ximena Porcasi, et al.. (2023). Ovitrap Monitor - Online application for counting mosquito eggs and visualisation toolbox in support of health services. Ecological Informatics. 75. 102105–102105. 4 indexed citations

2.

Crabbé, Jonathan, et al.. (2023). Explaining the Absorption Features of Deep Learning Hyperspectral Classification Models. 958–961.

3.

Tikka, Tuomas, Jussi Mäkynen, & Michal Shimoni. (2023). Hyperfield - Hyperspectral small satellites for improving life on Earth. 1–8. 2 indexed citations

4.

Shimoni, Michal, et al.. (2021). Mapping 20 Years of Urban Expansion in 45 Urban Areas of Sub-Saharan Africa. Remote Sensing. 13(3). 525–525. 39 indexed citations

5.

German, A, et al.. (2021). Space-time monitoring of water quality in an eutrophic reservoir using SENTINEL-2 data - A case study of San Roque, Argentina. Remote Sensing Applications Society and Environment. 24. 100614–100614. 15 indexed citations

6.

German, A, et al.. (2020). Multitemporal Spectral Analysis for Algae Detection in an Eutrophic Lake using Sentinel 2 Images. Zenodo (CERN European Organization for Nuclear Research). 351–356. 3 indexed citations

7.

Shimoni, Michal, et al.. (2020). The Detection of Concealed Targets in Woodland Areas using Hyperspectral Imagery. 451–455. 3 indexed citations

8.

Thomson, Dana R., Catherine Linard, Sabine Vanhuysse, et al.. (2019). Extending Data for Urban Health Decision-Making: a Menu of New and Potential Neighborhood-Level Health Determinants Datasets in LMICs. Journal of Urban Health. 96(4). 514–536. 20 indexed citations

9.

Walstra, J., Dominique Derauw, Anastasios Drougkas, et al.. (2018). The GEPATAR project: GEotechnical and Patrimonial Archives Toolbox for ARchitectural conservation in Belgium. Lirias (KU Leuven). 15918. 1 indexed citations

10.

Wolff, Éléonore, Taïs Grippa, Stefanos Georganos, et al.. (2018). Diversity of urban growth patterns in Sub-Saharan Africa. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 1 indexed citations

11.

Moser, Gabriele, Devis Tuia, & Michal Shimoni. (2015). Report on the 2015 IEEE GRSS Data Fusion Contest-Extremely High Resolution LiDAR and Optical Data: A Data Fusion Challenge [Technical Committees]. IEEE Geoscience and Remote Sensing Magazine. 3(3). 118–121. 3 indexed citations

12.

Liao, Wenzhi, Xin Huang, Frieke Van Coillie, et al.. (2015). Processing of Multiresolution Thermal Hyperspectral and Digital Color Data: Outcome of the 2014 IEEE GRSS Data Fusion Contest. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 8(6). 2984–2996. 184 indexed citations

13.

Shimoni, Michal, Éléonore Wolff, Caroline Michellier, et al.. (2015). An urban expansion model for African cities using fused multi temporal optical and SAR data. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 1159–1162. 4 indexed citations

14.

Moser, Gabriele, Devis Tuia, & Michal Shimoni. (2014). 2014 IEEE GRSS Data Fusion Contest: Multiresolution Fusion of Thermal Hyperspectral and VIS Data [Technical Committees]. IEEE Geoscience and Remote Sensing Magazine. 2(1). 21–22. 5 indexed citations

15.

Chanussot, Jocelyn, et al.. (2014). A physics-based unmixing method for thermal hyperspectral images. 19. 5082–5086. 2 indexed citations

16.

Shimoni, Michal, Rob Haelterman, & Christiaan Perneel. (2013). Short temporal change detection in complex urban area. 5425. 2196–2199. 2 indexed citations

17.

Tolt, Gustav, Michal Shimoni, & Jörgen Ahlberg. (2011). A shadow detection method for remote sensing images using VHR hyperspectral and LIDAR data. 4423–4426. 60 indexed citations

18.

Shimoni, Michal, et al.. (2011). Validation of physical unmixing model in the radiative domain. b19. 1–4. 1 indexed citations

19.

Shimoni, Michal, et al.. (2007). Land Cover Feature Recognition by Fusion of POLSAR, PolInSAR and Optical Data. ESASP. 644. 42. 2 indexed citations

20.

Shimoni, Michal, Eyal Ben‐Dor, Arnon Karnieli, et al.. (2002). <title>Searching for life in the Dead Sea: microbiological study using imaging spectroscopy</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4545. 155–164. 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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