Ali Ben Abbes

1.5k total citations · 1 hit paper
47 papers, 983 citations indexed

About

Ali Ben Abbes is a scholar working on Ecology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Ali Ben Abbes has authored 47 papers receiving a total of 983 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Ecology, 18 papers in Environmental Engineering and 16 papers in Global and Planetary Change. Recurrent topics in Ali Ben Abbes's work include Remote Sensing in Agriculture (21 papers), Soil Moisture and Remote Sensing (8 papers) and Hydrology and Drought Analysis (7 papers). Ali Ben Abbes is often cited by papers focused on Remote Sensing in Agriculture (21 papers), Soil Moisture and Remote Sensing (8 papers) and Hydrology and Drought Analysis (7 papers). Ali Ben Abbes collaborates with scholars based in Tunisia, France and Spain. Ali Ben Abbes's co-authors include Imed Riadh Farah, Manel Rhif, Beatriz Martínez, Yan‐Fang Sang, Vincent Barra, Nédra Mellouli, Myriam Lamolle, Rogier de Jong, Akrem Sellami and Kalifa Goı̈ta 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

Ali Ben Abbes

42 papers receiving 959 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. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ali Ben Abbes Tunisia 15 286 255 246 165 114 47 983
Ali Jamali Canada 20 325 1.1× 250 1.0× 292 1.2× 156 0.9× 249 2.2× 66 982
Markus Möller Germany 19 359 1.3× 289 1.1× 315 1.3× 123 0.7× 117 1.0× 49 1.2k
Shuqing Zhang China 20 368 1.3× 147 0.6× 402 1.6× 188 1.1× 192 1.7× 91 1.1k
Giovanni Randazzo Italy 16 253 0.9× 165 0.6× 210 0.9× 128 0.8× 92 0.8× 46 1.1k
He Li China 16 224 0.8× 194 0.8× 404 1.6× 125 0.8× 60 0.5× 67 1.0k
Surya S. Durbha India 17 137 0.5× 210 0.8× 235 1.0× 96 0.6× 153 1.3× 98 1.0k
Demetris Stathakis Greece 17 396 1.4× 162 0.6× 144 0.6× 117 0.7× 132 1.2× 44 1.1k
Juan J. Flores Mexico 11 144 0.5× 182 0.7× 198 0.8× 114 0.7× 157 1.4× 66 878
Husam Al-Najjar Australia 13 371 1.3× 214 0.8× 127 0.5× 160 1.0× 113 1.0× 23 928

Countries citing papers authored by Ali Ben Abbes

Since Specialization
Citations

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

Fields of papers citing papers by Ali Ben Abbes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Ben Abbes

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Ben Abbes. A scholar is included among the top collaborators of Ali Ben Abbes 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 Ali Ben Abbes. Ali Ben Abbes 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
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Abbes, Ali Ben, et al.. (2025). Supervised desertification classification using Siamese Variational Autoencoder. International Journal of Image and Data Fusion. 16(1). 1 indexed citations
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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.
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Abbes, Ali Ben, et al.. (2024). A Bi-GRU-based encoder–decoder framework for multivariate time series forecasting. Soft Computing. 28(9-10). 6775–6786. 14 indexed citations
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Abbes, Ali Ben, Pedro Luiz Pizzigatti Corrêa, Alison Specht, et al.. (2024). DeepWealth: A generalizable open-source deep learning framework using satellite images for well-being estimation. SoftwareX. 27. 101785–101785. 1 indexed citations
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Abbes, Ali Ben, et al.. (2023). Machine learning for food security: current status, challenges, and future perspectives. Artificial Intelligence Review. 56(S3). 3853–3876. 10 indexed citations
10.
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
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Abbes, Ali Ben, et al.. (2023). Spatio-temporal heterogeneous graph using multivariate earth observation time series: Application for drought forecasting. Computers & Geosciences. 179. 105435–105435. 6 indexed citations
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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
13.
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
14.
Abbes, Ali Ben, et al.. (2022). Multidimensional architecture using a massive and heterogeneous data: Application to drought monitoring. Future Generation Computer Systems. 136. 1–14. 7 indexed citations
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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
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Mellouli, Nédra, et al.. (2021). Enhancing Big Data Warehousing and Analytics for Spatio-Temporal Massive Data. Journal of the Association for Information Systems. 2 indexed citations
17.
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
18.
Abbes, Ali Ben, Ramata Magagi, & Kalifa Goı̈ta. (2019). Soil Moisture Estimation From Smap Observations Using Long Short- Term Memory (LSTM). 1590–1593. 17 indexed citations
19.
Abbes, Ali Ben, et al.. (2018). An efficient knowledge-based approach for random variation interpretation in NDVI time series. Environmental Earth Sciences. 77(22). 3 indexed citations
20.
Abbes, Ali Ben, et al.. (2018). Comparative study of three satellite image time-series decomposition methods for vegetation change detection. European Journal of Remote Sensing. 51(1). 607–615. 58 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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