Abdelkader Mezghani

2.2k total citations · 1 hit paper
47 papers, 1.4k citations indexed

About

Abdelkader Mezghani is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Abdelkader Mezghani has authored 47 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Global and Planetary Change, 32 papers in Atmospheric Science and 15 papers in Water Science and Technology. Recurrent topics in Abdelkader Mezghani's work include Climate variability and models (36 papers), Meteorological Phenomena and Simulations (19 papers) and Hydrology and Drought Analysis (15 papers). Abdelkader Mezghani is often cited by papers focused on Climate variability and models (36 papers), Meteorological Phenomena and Simulations (19 papers) and Hydrology and Drought Analysis (15 papers). Abdelkader Mezghani collaborates with scholars based in Norway, Germany and Poland. Abdelkader Mezghani's co-authors include Benoît Hingray, Rasmus Benestad, Kajsa M. Parding, Bettina Schaefli, Zbigniew W. Kundzewicz, Mikołaj Piniewski, Pascal Horton, André Musy, Mateusz Szcześniak and Andreas Dobler and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Climate.

In The Last Decade

Abdelkader Mezghani

47 papers receiving 1.3k citations

Hit Papers

Exceptional warming over the Barents area 2022 2026 2023 2024 2022 40 80 120
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. Exceptional warming over the Barents area
    2022 121 citations Ketil Isaksen, Øyvind Nordli et al. Scientific Reports profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abdelkader Mezghani Norway 21 917 728 523 143 109 47 1.4k
A. T. Werner Canada 17 839 0.9× 606 0.8× 546 1.0× 120 0.8× 108 1.0× 26 1.2k
Torill Engen-Skaugen Norway 8 960 1.0× 579 0.8× 531 1.0× 78 0.5× 106 1.0× 9 1.2k
Marcelo E. Seluchi Brazil 21 1.2k 1.3× 745 1.0× 382 0.7× 238 1.7× 159 1.5× 47 1.7k
Andrew L. Lowry Australia 6 1.1k 1.2× 711 1.0× 277 0.5× 166 1.2× 106 1.0× 9 1.4k
Weiyi Mao China 16 992 1.1× 688 0.9× 453 0.9× 234 1.6× 126 1.2× 56 1.4k
Jianqing Zhai China 20 912 1.0× 536 0.7× 456 0.9× 113 0.8× 191 1.8× 31 1.4k
Jorge Luís Gomes Brazil 13 911 1.0× 427 0.6× 459 0.9× 161 1.1× 117 1.1× 30 1.4k
ChunYuan Wang China 2 799 0.9× 308 0.4× 369 0.7× 132 0.9× 152 1.4× 3 1.1k
Hermann Österle Germany 8 615 0.7× 346 0.5× 434 0.8× 70 0.5× 91 0.8× 14 911
Claudine Pereira Dereczynski Brazil 15 777 0.8× 377 0.5× 395 0.8× 215 1.5× 132 1.2× 42 1.2k

Countries citing papers authored by Abdelkader Mezghani

Since Specialization
Citations

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

Fields of papers citing papers by Abdelkader Mezghani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abdelkader Mezghani

This figure shows the co-authorship network connecting the top 25 collaborators of Abdelkader Mezghani. A scholar is included among the top collaborators of Abdelkader Mezghani 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 Abdelkader Mezghani. Abdelkader Mezghani 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.
Benestad, Rasmus, Abdelkader Mezghani, Julia Lutz, et al.. (2023). Various ways of using empirical orthogonal functions for climate model evaluation. Geoscientific model development. 16(10). 2899–2913. 12 indexed citations
2.
Czibula, Gabriela, et al.. (2022). NeXtNow: A Convolutional Deep Learning Model for the Prediction of Weather Radar Data for Nowcasting Purposes. Remote Sensing. 14(16). 3890–3890. 10 indexed citations
3.
Isaksen, Ketil, Øyvind Nordli, Б. В. Иванов, et al.. (2022). Exceptional warming over the Barents area. Scientific Reports. 12(1). 9371–9371. 121 indexed citations breakdown →
4.
Mezghani, Abdelkader, Andreas Dobler, Rasmus Benestad, et al.. (2019). Subsampling Impact on the Climate Change Signal over Poland Based on Simulations from Statistical and Dynamical Downscaling. Journal of Applied Meteorology and Climatology. 58(5). 1061–1078. 23 indexed citations
5.
Benestad, Rasmus, et al.. (2019). A simple equation to study changes in rainfall statistics. Environmental Research Letters. 14(8). 84017–84017. 26 indexed citations
6.
7.
Dobler, Andreas, Abdelkader Mezghani, Rasmus Benestad, et al.. (2018). Climate projections over Poland. Assessment of bias-corrected EURO-CORDEX simulations. EGU General Assembly Conference Abstracts. 18508. 1 indexed citations
8.
Benestad, Rasmus, Kajsa M. Parding, Abdelkader Mezghani, & Anita Verpe Dyrrdal. (2017). Simple and approximate estimations of future precipitation return values. Natural hazards and earth system sciences. 17(7). 993–1001. 2 indexed citations
9.
Mezghani, Abdelkader, Andreas Dobler, Jan Erik Haugen, et al.. (2017). CHASE-PL Climate Projection dataset over Poland – bias adjustment of EURO-CORDEX simulations. Earth system science data. 9(2). 905–925. 52 indexed citations
10.
Benestad, Rasmus, Kajsa M. Parding, Andreas Dobler, & Abdelkader Mezghani. (2017). A strategy to effectively make use of large volumes of climate data for climate change adaptation. Climate Services. 6. 48–54. 18 indexed citations
11.
Das, Lalu, Monami Dutta, Abdelkader Mezghani, & Rasmus Benestad. (2017). Use of observed temperature statistics in rankingCMIP5model performance over the Western Himalayan Region of India. International Journal of Climatology. 38(2). 554–570. 49 indexed citations
12.
Benestad, Rasmus, Kajsa M. Parding, Abdelkader Mezghani, & Anita Verpe Dyrrdal. (2016). Simple and approximate upper-limit estimation of future precipitation return-values. 3 indexed citations
13.
Berezowski, Tomasz, Mateusz Szcześniak, Ignacy Kardel, et al.. (2016). CPLFD-GDPT5: High-resolution gridded daily precipitation and temperature data set for two largest Polish river basins. Earth system science data. 8(1). 127–139. 62 indexed citations
14.
Benestad, Rasmus, et al.. (2015). On using principal components to represent stations in empirical–statistical downscaling. Tellus A Dynamic Meteorology and Oceanography. 67(1). 28326–28326. 22 indexed citations
15.
Benestad, Rasmus & Abdelkader Mezghani. (2015). On downscaling probabilities for heavy 24-hour precipitation events at seasonal-to-decadal scales. Tellus A Dynamic Meteorology and Oceanography. 67(1). 25954–25954. 13 indexed citations
16.
Benestad, Rasmus, Abdelkader Mezghani, & Kajsa M. Parding. (2015). `esd' - The Empirical-Statistical Downscaling tool \& its visualisation capabilities.. Figshare. 8 indexed citations
17.
Hingray, Benoît, et al.. (2010). Signature-based model calibration for hydrological prediction in mesoscale Alpine catchments. Hydrological Sciences Journal. 55(6). 1002–1016. 59 indexed citations
18.
Ekström, Marie, Benoît Hingray, Abdelkader Mezghani, & P. D. Jones. (2007). Regional climate model data used within the SWURVE project – 2: addressing uncertainty in regional climate model data for five European case study areas. Hydrology and earth system sciences. 11(3). 1085–1096. 21 indexed citations
19.
20.
Hingray, Benoît, et al.. (2006). Rapport de synthèse réalisé dans le cadre du projet CONSECRU 2 Estimation des débits de crue du Rhône à Porte du Scex et autres points amont caractéristiques. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 8 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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