Manel Rhif

843 total citations · 1 hit paper
18 papers, 553 citations indexed

About

Manel Rhif is a scholar working on Ecology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Manel Rhif has authored 18 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Ecology, 6 papers in Environmental Engineering and 5 papers in Global and Planetary Change. Recurrent topics in Manel Rhif's work include Remote Sensing in Agriculture (11 papers), Time Series Analysis and Forecasting (3 papers) and Remote Sensing and Land Use (3 papers). Manel Rhif is often cited by papers focused on Remote Sensing in Agriculture (11 papers), Time Series Analysis and Forecasting (3 papers) and Remote Sensing and Land Use (3 papers). Manel Rhif collaborates with scholars based in Tunisia, Spain and France. Manel Rhif's co-authors include Imed Riadh Farah, Ali Ben Abbes, Beatriz Martínez, Yan‐Fang Sang, Spiros Pagiatakis, Ebrahim Ghaderpour, Rogier de Jong, Hazem Wannous, Mohamed Ouessar and Vincent Barra and has published in prestigious journals such as International Journal of Remote Sensing, Environmental Science and Pollution Research and ISPRS Journal of Photogrammetry and Remote Sensing.

In The Last Decade

Manel Rhif

16 papers receiving 538 citations

Hit Papers

Wavelet Transform Application for/in Non-Stationary Time-... 2019 2026 2021 2023 2019 100 200 300
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.

  1. Wavelet Transform Application for/in Non-Stationary Time-Series Analysis: A Review
    2019 367 citations Manel Rhif, Ali Ben Abbes et al. Applied Sciences profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manel Rhif Tunisia 11 123 120 109 71 66 18 553
Yunping Chen China 13 97 0.8× 152 1.3× 81 0.7× 42 0.6× 52 0.8× 82 603
Ali Ben Abbes Tunisia 15 286 2.3× 255 2.1× 246 2.3× 87 1.2× 87 1.3× 47 983
Wesam Atef Hatamleh Saudi Arabia 16 153 1.2× 104 0.9× 108 1.0× 25 0.4× 127 1.9× 25 717
Hong Chi China 15 117 1.0× 239 2.0× 222 2.0× 43 0.6× 143 2.2× 48 690
Xiaoping Rui China 14 193 1.6× 179 1.5× 52 0.5× 23 0.3× 50 0.8× 86 689
Juan J. Flores Mexico 11 144 1.2× 182 1.5× 198 1.8× 177 2.5× 229 3.5× 66 878
Shahram Golzari Iran 12 94 0.8× 108 0.9× 29 0.3× 34 0.5× 77 1.2× 26 425
Kai Ding China 13 171 1.4× 122 1.0× 74 0.7× 35 0.5× 100 1.5× 43 581
Matteo Sangiorgio Italy 10 83 0.7× 64 0.5× 31 0.3× 86 1.2× 141 2.1× 28 575

Countries citing papers authored by Manel Rhif

Since Specialization
Citations

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

Fields of papers citing papers by Manel Rhif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manel Rhif

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

All Works

18 of 18 papers shown
1.
2.
Rhif, Manel, Ali Ben Abbes, Beatriz Martínez, & Imed Riadh Farah. (2024). Data-Driven Forecasting of Climate Change Impacts on Vegetation for Sustainable Agriculture. Procedia Computer Science. 246. 2943–2952.
3.
Abbes, Ali Ben, et al.. (2023). Multi-attention Generative Adversarial Network for multi-step vegetation indices forecasting using multivariate time series. Engineering Applications of Artificial Intelligence. 128. 107563–107563. 11 indexed citations
4.
Abbes, Ali Ben, et al.. (2023). Combining deep learning methods and multi-resolution analysis for drought forecasting modeling. Earth Science Informatics. 16(2). 1811–1820. 14 indexed citations
5.
Rhif, Manel, Ali Ben Abbes, Beatriz Martínez, & Imed Riadh Farah. (2023). Veg-W2TCN: A parallel hybrid forecasting framework for non-stationary time series using wavelet and temporal convolution network model. Applied Soft Computing. 137. 110172–110172. 21 indexed citations
6.
Rhif, Manel, Ali Ben Abbes, Beatriz Martínez, et al.. (2022). Detection of trend and seasonal changes in non-stationary remote sensing data: Case study of Tunisia vegetation dynamics. Ecological Informatics. 69. 101596–101596. 22 indexed citations
7.
Rhif, Manel, et al.. (2022). Desertification Detection Based on Landsat Time-Series Images and Variational Auto-Encoder: Application in Jeffera, Tunisia. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 3688–3691. 3 indexed citations
8.
Rhif, Manel, Ali Ben Abbes, Beatriz Martínez, Imed Riadh Farah, & María Amparo Gilabert Navarro. (2022). Optimal selection of wavelet transform parameters for spatio-temporal analysis based on non-stationary NDVI MODIS time series in Mediterranean region. ISPRS Journal of Photogrammetry and Remote Sensing. 193. 216–233. 10 indexed citations
9.
Rhif, Manel, et al.. (2022). SmartEarthTunisia: A Benchmark for Monitoring the SDGs USING Earth Observation Data and Deep Learning Techniques In Tunisia. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 7803–7806. 2 indexed citations
10.
Abbes, Ali Ben, et al.. (2022). SMETool: A web-based tool for soil moisture estimation based on Eo-Learn framework and Machine Learning methods. Environmental Modelling & Software. 157. 105505–105505. 10 indexed citations
11.
Rhif, Manel, et al.. (2021). Towards a Tunisian earth observation data cube for environmental applications. 1–5. 1 indexed citations
12.
13.
Rhif, Manel, Ali Ben Abbes, Beatriz Martínez, & Imed Riadh Farah. (2020). An improved trend vegetation analysis for non-stationary NDVI time series based on wavelet transform. Environmental Science and Pollution Research. 28(34). 46603–46613. 20 indexed citations
14.
Rhif, Manel, Ali Ben Abbes, Beatriz Martínez, & Imed Riadh Farah. (2020). A deep learning approach for forecasting non-stationary big remote sensing time series. Arabian Journal of Geosciences. 13(22). 15 indexed citations
15.
Rhif, Manel, Ali Ben Abbes, Beatriz Martínez, & Imed Riadh Farah. (2020). Deep Learning Models Performance For NDVI Time Series Prediction: A Case Study On North West Tunisia. 9 indexed citations
16.
Ghaderpour, Ebrahim, Ali Ben Abbes, Manel Rhif, Spiros Pagiatakis, & Imed Riadh Farah. (2019). Non-stationary and unequally spaced NDVI time series analyses by the LSWAVE software. International Journal of Remote Sensing. 41(6). 2374–2390. 30 indexed citations
17.
Rhif, Manel, Ali Ben Abbes, Imed Riadh Farah, Beatriz Martínez, & Yan‐Fang Sang. (2019). Wavelet Transform Application for/in Non-Stationary Time-Series Analysis: A Review. Applied Sciences. 9(7). 1345–1345. 367 indexed citations breakdown →
18.
Rhif, Manel, Hazem Wannous, & Imed Riadh Farah. (2018). Action Recognition from 3D Skeleton Sequences using Deep Networks on Lie Group Features. HAL (Le Centre pour la Communication Scientifique Directe). 3427–3432. 13 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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