Mohammed Achite

1.3k total citations
67 papers, 940 citations indexed

About

Mohammed Achite is a scholar working on Global and Planetary Change, Environmental Engineering and Water Science and Technology. According to data from OpenAlex, Mohammed Achite has authored 67 papers receiving a total of 940 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Global and Planetary Change, 28 papers in Environmental Engineering and 28 papers in Water Science and Technology. Recurrent topics in Mohammed Achite's work include Hydrology and Drought Analysis (35 papers), Hydrological Forecasting Using AI (26 papers) and Hydrology and Watershed Management Studies (24 papers). Mohammed Achite is often cited by papers focused on Hydrology and Drought Analysis (35 papers), Hydrological Forecasting Using AI (26 papers) and Hydrology and Watershed Management Studies (24 papers). Mohammed Achite collaborates with scholars based in Algeria, Iran and Türkiye. Mohammed Achite's co-authors include Tommaso Caloiero, Nehal Elshaboury, Muhammad Jehanzaib, Andrzej Wałęga, Sylvain Ouillon, Tae‐Woong Kim, Nir Y. Krakauer, Okan Mert Katipoğlu, Muhammad Ajmal and Mohamed Meddi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Mohammed Achite

59 papers receiving 915 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammed Achite Algeria 20 557 401 342 164 110 67 940
Rabindra Kumar Panda India 16 407 0.7× 463 1.2× 460 1.3× 171 1.0× 131 1.2× 43 920
Mohammad Taghi Dastorani Iran 14 515 0.9× 356 0.9× 299 0.9× 113 0.7× 69 0.6× 53 851
Ali Azareh Iran 12 606 1.1× 349 0.9× 398 1.2× 188 1.1× 125 1.1× 26 982
Ansoumana Bodian Senegal 18 777 1.4× 499 1.2× 250 0.7× 120 0.7× 157 1.4× 55 1.0k
Gerald Corzo Netherlands 19 629 1.1× 819 2.0× 632 1.8× 92 0.6× 162 1.5× 68 1.3k
Youssef Brouziyne Morocco 18 346 0.6× 512 1.3× 431 1.3× 160 1.0× 45 0.4× 45 1.0k
Darshan Mehta India 20 688 1.2× 469 1.2× 482 1.4× 58 0.4× 186 1.7× 60 1.1k
Sonam Sandeep Dash India 14 419 0.8× 419 1.0× 246 0.7× 169 1.0× 71 0.6× 33 714
Abdol Rassoul Zarei Iran 21 835 1.5× 259 0.6× 181 0.5× 159 1.0× 97 0.9× 72 1.2k
Elham Rafiei-Sardooi Iran 8 492 0.9× 290 0.7× 364 1.1× 186 1.1× 104 0.9× 10 823

Countries citing papers authored by Mohammed Achite

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed Achite

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammed Achite

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Achite. A scholar is included among the top collaborators of Mohammed Achite 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 Mohammed Achite. Mohammed Achite 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.
2.
Achite, Mohammed, et al.. (2025). Advanced Soft Computing Techniques for Monthly Streamflow Prediction in Seasonal Rivers. Atmosphere. 16(1). 106–106. 1 indexed citations
3.
Achite, Mohammed, et al.. (2025). Evaluating performances of SVR, HBA–SVR, and COOT–SVR techniques: monthly evaporation modeling in Algeria. Euro-Mediterranean Journal for Environmental Integration. 10(6). 5333–5350.
4.
Achite, Mohammed, Manish Kumar, Nehal Elshaboury, et al.. (2025). Comparative assessment of standalone and hybrid deep neural networks for modeling daily pan evaporation in a semi-arid environment. Scientific Reports. 15(1). 20179–20179. 5 indexed citations
5.
6.
Ceppi, Alessandro, et al.. (2025). Mapping drought characteristics in northern Algerian Basins using the ERA5-Land dataset. Scientific Reports. 15(1). 10720–10720. 6 indexed citations
7.
Achite, Mohammed, et al.. (2024). Shannon entropy of performance metrics to choose the best novel hybrid algorithm to predict groundwater level (case study: Tabriz plain, Iran). Environmental Monitoring and Assessment. 196(3). 227–227. 10 indexed citations
8.
Achite, Mohammed, Tommaso Caloiero, Muhammad Jehanzaib, et al.. (2024). Geo-Statistical Characterization of Annual Maximum Daily Rainfall Variability in Semi-Arid Regions. Atmosphere. 15(12). 1519–1519.
9.
Achite, Mohammed, et al.. (2024). A combined support vector regression with a firefly algorithm for prediction of energy consumption in wastewater treatment plants. Water Science & Technology. 90(10). 2747–2763. 1 indexed citations
10.
Achite, Mohammed, et al.. (2024). Trend Analysis of Hydro-Meteorological Variables in the Wadi Ouahrane Basin, Algeria. Hydrology. 11(6). 77–77. 4 indexed citations
11.
Achite, Mohammed, Oğuz Şimşek, S. Adarsh, Okan Mert Katipoğlu, & Tommaso Caloiero. (2024). Analyzing the dynamical relationships between meteorological and hydrological drought of Wadi Mina basin, Algeria using a novel multiscale framework. Stochastic Environmental Research and Risk Assessment. 38(5). 1935–1953. 9 indexed citations
12.
Anaraki, Mahdi Valikhan, Mohammed Achite, Saeed Farzin, et al.. (2023). Modeling of Monthly Rainfall–Runoff Using Various Machine Learning Techniques in Wadi Ouahrane Basin, Algeria. Water. 15(20). 3576–3576. 21 indexed citations
13.
Achite, Mohammed, et al.. (2023). Hydrological Drought Prediction Based on Hybrid Extreme Learning Machine: Wadi Mina Basin Case Study, Algeria. Atmosphere. 14(9). 1447–1447. 18 indexed citations
14.
Achite, Mohammed, et al.. (2023). An election algorithm combined with support vector regression for estimating hydrological drought. Modeling Earth Systems and Environment. 10(1). 1395–1405. 4 indexed citations
15.
Achite, Mohammed, Gökmen Çeribaşı, Andrzej Wałęga, et al.. (2023). Analysis of monthly average precipitation of Wadi Ouahrane basin in Algeria by using the ITRA, ITPAM, and TPS methods. Environmental Monitoring and Assessment. 195(5). 606–606. 13 indexed citations
16.
Achite, Mohammed, Gökmen Çeribaşı, Ahmet Iyad Ceyhunlu, Andrzej Wałęga, & Tommaso Caloiero. (2021). The Innovative Polygon Trend Analysis (IPTA) as a Simple Qualitative Method to Detect Changes in Environment—Example Detecting Trends of the Total Monthly Precipitation in Semiarid Area. Sustainability. 13(22). 12674–12674. 46 indexed citations
17.
Achite, Mohammed, et al.. (2021). SPATIAL-TEMPORAL CHARACTERIZATION OF METEOROLOGICAL DROUGHT USING THE STANDARDIZED PRECIPITATION INDEX.CASE STUDY IN ALGERIA. SHILAP Revista de lepidopterología. 20(1). 19–31. 15 indexed citations
18.
Achite, Mohammed, Nir Y. Krakauer, Andrzej Wałęga, & Tommaso Caloiero. (2021). Spatial and Temporal Analysis of Dry and Wet Spells in the Wadi Cheliff Basin, Algeria. Atmosphere. 12(6). 798–798. 19 indexed citations
19.
Achite, Mohammed, et al.. (2017). Precipitation spatial variability and dry areas temporal stability for different elevation classes in the Macta basin (Algeria). Environmental Earth Sciences. 76(13). 20 indexed citations
20.
Achite, Mohammed & Sylvain Ouillon. (2016). Recent changes in climate, hydrology and sediment load in the Wadi Abd, Algeria (1970–2010). Hydrology and earth system sciences. 20(4). 1355–1372. 38 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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