Abdul Rauf

1.6k total citations
100 papers, 1.3k citations indexed

About

Abdul Rauf is a scholar working on Computational Theory and Mathematics, Geometry and Topology and Biomedical Engineering. According to data from OpenAlex, Abdul Rauf has authored 100 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computational Theory and Mathematics, 39 papers in Geometry and Topology and 32 papers in Biomedical Engineering. Recurrent topics in Abdul Rauf's work include Graph theory and applications (38 papers), Computational Drug Discovery Methods (38 papers) and Nanofluid Flow and Heat Transfer (29 papers). Abdul Rauf is often cited by papers focused on Graph theory and applications (38 papers), Computational Drug Discovery Methods (38 papers) and Nanofluid Flow and Heat Transfer (29 papers). Abdul Rauf collaborates with scholars based in Pakistan, China and Saudi Arabia. Abdul Rauf's co-authors include Muhammad Naeem, Muhammad Ishtiaq, Muhammad Kamran Siddiqui, Nehad Ali Shah, Adnan Aslam, Thongchai Botmart, Muhammad Kamran Jamil, Najeeb Alam Khan, Dumitru Vieru and Mehwish Hussain Muhammad and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Abdul Rauf

91 papers receiving 1.3k citations

Peers

Abdul Rauf

CTM

Muhammad Faisal Nadeem Pakistan

Marwan Amin Kutbi Saudi Arabia

Muhammad Naeem Pakistan

Yansheng Liu China

Fernando C. Silva Portugal

Muhammad Imran Qureshi Pakistan

Milan Kubı́ček Czechia

Aboozar Khajeh Iran

Donghui Li China

Yiwei Wang China

Muhammad Faisal Nadeem Pakistan

Abdul Rauf

204 ×0.4

970 ×1.9

CTM

838 ×1.7

334 ×1.1

106 ×0.3

Citations per year, relative to Abdul Rauf Abdul Rauf (= 1×) peers Muhammad Faisal Nadeem

Countries citing papers authored by Abdul Rauf

Since Specialization

Citations

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

Fields of papers citing papers by Abdul Rauf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abdul Rauf

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Qureshi, Rahmatullah, Abdul Rauf, Qaiser Hussain, et al.. (2025). Influence of different priming treatments on germination potential and seedling establishment of four important hemp (Cannabis sativa L.) cultivars. Scientific Reports. 15(1). 3073–3073. 2 indexed citations

Naeem, Muhammad, et al.. (2025). Modeling and estimation of physiochemical properties of cancer drugs using entropy measures. Scientific Reports. 15(1). 4785–4785. 1 indexed citations

Rauf, Abdul, et al.. (2024). Quantitative structure properties relationship (QSPR) analysis for physicochemical properties of nonsteroidal anti-inflammatory drugs (NSAIDs) usingVe degree-based reducible topological indices. Chemometrics and Intelligent Laboratory Systems. 255. 105266–105266. 2 indexed citations

Siyal, Sajid Hussain, Tayyaba Najam, Rashid Iqbal, et al.. (2024). Engineering of metal oxide integrated metal organic frameworks (MO@ MOF) composites for energy and environment sector. Materials Science and Engineering B. 313. 117909–117909. 26 indexed citations

Liu, Zixi, Muhammad Altaf Nazir, Muhammad Altaf, et al.. (2024). Light-driven C1 Chemical Conversion with LDH-based Nanomaterials. Applied Clay Science. 258. 107488–107488. 7 indexed citations

Naeem, Muhammad, et al.. (2023). Predictive ability of physicochemical properties of antiemetic drugs using degree‐based entropies. International Journal of Quantum Chemistry. 123(15). 12 indexed citations

Rauf, Abdul, et al.. (2023). Quality testing analysis of Ve‐degree based entropies by using benzene derivatives. International Journal of Quantum Chemistry. 123(17). 16 indexed citations

Naeem, Muhammad, et al.. (2023). Predictive ability of physiochemical properties of benzene derivatives using Ve-degree of end vertices-based entropy. Journal of Biomolecular Structure and Dynamics. 42(22). 12342–12352. 5 indexed citations

Naeem, Muhammad, et al.. (2023). QSPR Modeling with Curvilinear Regression on the Reverse Entropy Indices for the Prediction of Physicochemical Properties of Benzene Derivatives. Polycyclic aromatic compounds. 44(3). 1452–1469. 15 indexed citations

10.

Liu, Liqin, Khurram Shahzad, Abdul Rauf, Fairouz Tchier, & Adnan Aslam. (2023). Metric and fault-tolerant metric dimension for GeSbTe superlattice chemical structure. PLoS ONE. 18(11). e0290411–e0290411. 3 indexed citations

11.

Rauf, Abdul, et al.. (2022). Quantitative structure–properties relationship analysis of Eigen‐value‐based indices using COVID‐19 drugs structure. International Journal of Quantum Chemistry. 123(4). e27030–e27030. 22 indexed citations

12.

Zhang, Xiujun, et al.. (2022). Study of Ge‐Sb‐Te Superlattice Structure Based on Topological Descriptors. Journal of Mathematics. 2022(1). 5 indexed citations

13.

Rauf, Abdul, et al.. (2022). Computing Wiener and Hyper-Wiener Indices of Zero-Divisor Graph of ℤ ℊ 3 × ℤ I 1 I 2 . Journal of Function Spaces. 2022. 1–11. 1 indexed citations

14.

Rauf, Abdul, et al.. (2022). QSPR Study of Ve-Degree Based End Vertice Edge Entropy Indices with Physio-Chemical Properties of Breast Cancer Drugs. Polycyclic aromatic compounds. 43(5). 4170–4183. 43 indexed citations

15.

Naeem, Muhammad & Abdul Rauf. (2021). Degree Based Weighted Entropy Indices of Hyaluronic Acid-Curcumin Conjugates: an Anti-Tumor Drug. Polycyclic aromatic compounds. 43(1). 482–499. 13 indexed citations

16.

Li, Yi-Xia, Abdul Rauf, Muhammad Naeem, Muhammad Ahsan Binyamin, & Adnan Aslam. (2021). Valency‐Based Topological Properties of Linear Hexagonal Chain and Hammer‐Like Benzenoid. Complexity. 2021(1). 23 indexed citations

17.

Rauf, Abdul, et al.. (2021). Study of Vanadium Carbide Structures Based on Ve and Ev-Degree Topological Indices. Journal of Chemistry. 2021. 1–12. 2 indexed citations

18.

Rauf, Abdul, et al.. (2021). A numerical method for solution of incompressible Navier–Stokes equations in streamfunction‐vorticity formulation. Computational and Mathematical Methods. 3(6). 6 indexed citations

19.

Rauf, Abdul, et al.. (2020). Simultaneous Flow of Three Immiscible Fractional Maxwell Fluids with the Clear and Hoamogeneous Porous Cylindrical Domain. SHILAP Revista de lepidopterología. 3 indexed citations

20.

Zhang, Xiujun, Abdul Rauf, Muhammad Ishtiaq, Muhammad Kamran Siddiqui, & Mehwish Hussain Muhammad. (2020). On Degree Based Topological Properties of Two Carbon Nanotubes. Polycyclic aromatic compounds. 42(3). 866–884. 91 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.

Explore authors with similar magnitude of impact