Saudi Arabia

1.9k total papers · 10.4k total citations
933 papers, 7.8k citations indexed

About

Saudi Arabia is a scholar working on Plant Science, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Saudi Arabia has authored 933 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Plant Science, 64 papers in Molecular Biology and 59 papers in Artificial Intelligence. Recurrent topics in Saudi Arabia's work include Fractional Differential Equations Solutions (29 papers), Analytical Methods in Pharmaceuticals (21 papers) and Nonlinear Differential Equations Analysis (19 papers). Saudi Arabia is often cited by papers focused on Fractional Differential Equations Solutions (29 papers), Analytical Methods in Pharmaceuticals (21 papers) and Nonlinear Differential Equations Analysis (19 papers). Saudi Arabia collaborates with scholars based in Saudi Arabia, United States and Türkiye. Saudi Arabia's co-authors include Juan J. Nieto, Jorge Losada, Eid Alhaisoni, Dumitru Bǎleanu, M. A. Abido, King Fahd, Xiao‐Jun Yang, Mahmoud M. Berekaa, Cheruth Abdul Jaleel and Muhammad Ashraf and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Urology and Archives of Pathology & Laboratory Medicine.

In The Last Decade

Saudi Arabia

837 papers receiving 6.9k citations

Hit Papers

Properties of a New Fract... 2015 2026 2018 2022 2015 200 400 600
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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Properties of a New Fractional Derivative without Singular Kernel
    2015 640 citations Saudi Arabia et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Saudi Arabia 999 950 523 514 502 933 7.8k
Yuantong Gu 978 1.0× 237 0.2× 1.5k 3.0× 728 1.4× 119 0.2× 520 14.7k
Richard J. Beckman 770 0.8× 392 0.4× 556 1.1× 208 0.4× 111 0.2× 73 16.1k
Samuel Kotz 236 0.2× 209 0.2× 319 0.6× 210 0.4× 630 1.3× 340 24.1k
Yan Li 1.9k 1.9× 77 0.1× 608 1.2× 524 1.0× 767 1.5× 511 10.5k
José Álvarez‐Ramírez 233 0.2× 961 1.0× 702 1.3× 132 0.3× 44 0.1× 529 11.3k
Mohammad Heydari 3.6k 3.6× 83 0.1× 585 1.1× 2.1k 4.2× 757 1.5× 592 8.1k
Xinzhi Liu 907 0.9× 129 0.1× 819 1.6× 786 1.5× 1.7k 3.4× 462 11.3k
Zhen Jin 3.7k 3.7× 117 0.1× 193 0.4× 109 0.2× 296 0.6× 471 10.7k
Wolfgang Karl Härdle 95 0.1× 309 0.3× 265 0.5× 140 0.3× 574 1.1× 480 20.0k
Bernard De Baets 76 0.1× 977 1.0× 572 1.1× 147 0.3× 279 0.6× 878 19.0k

Countries citing papers authored by Saudi Arabia

Since Specialization
Citations

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

Fields of papers citing papers by Saudi Arabia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saudi Arabia

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

All Works

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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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2026