Rahila Naz

50 total papers · 1.6k total citations
43 papers, 1.5k citations indexed

About

Rahila Naz is a scholar working on Biomedical Engineering, Computational Mechanics and Mechanical Engineering. According to data from OpenAlex, Rahila Naz has authored 43 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Biomedical Engineering, 31 papers in Computational Mechanics and 29 papers in Mechanical Engineering. Recurrent topics in Rahila Naz's work include Nanofluid Flow and Heat Transfer (43 papers), Heat Transfer Mechanisms (26 papers) and Fluid Dynamics and Turbulent Flows (26 papers). Rahila Naz is often cited by papers focused on Nanofluid Flow and Heat Transfer (43 papers), Heat Transfer Mechanisms (26 papers) and Fluid Dynamics and Turbulent Flows (26 papers). Rahila Naz collaborates with scholars based in Pakistan, Saudi Arabia and Egypt. Rahila Naz's co-authors include Muhammad Sohail, Sara I. Abdelsalam, Tasawar Hayat, Fazle Mabood, S. Bilal, Zahir Shah, Maryiam Javed, Phatiphat Thounthong, Poom Kumam and S. Abbasbandy and has published in prestigious journals such as Physica A Statistical Mechanics and its Applications, Applied Mathematics and Computation and International Communications in Heat and Mass Transfer.

In The Last Decade

Rahila Naz

41 papers receiving 1.4k citations

Hit Papers

Novel nanostructural feat... 2024 2026 2024 20 40 60

Author Peers

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

Author Last Decade Papers Cites
Rahila Naz 1.3k 1.0k 994 149 85 43 1.5k
Zahra Abdelmalek 1.4k 1.0× 1.1k 1.0× 953 1.0× 127 0.9× 61 0.7× 49 1.6k
Jawad Raza 1.6k 1.2× 1.3k 1.3× 1.1k 1.1× 124 0.8× 78 0.9× 55 1.8k
Rachid Sehaqui 1.6k 1.2× 1.3k 1.2× 1.2k 1.2× 120 0.8× 72 0.8× 47 1.7k
Mubbashar Nazeer 1.3k 1.0× 902 0.9× 981 1.0× 179 1.2× 39 0.5× 49 1.5k
Muhammad Idrees Afridi 1.3k 1.0× 1.1k 1.1× 962 1.0× 95 0.6× 69 0.8× 78 1.4k
Sultan Z. Alamri 1.5k 1.1× 1.1k 1.1× 1.0k 1.1× 115 0.8× 99 1.2× 17 1.7k
Olubode Kolade Kọrikọ 986 0.7× 711 0.7× 740 0.7× 125 0.8× 41 0.5× 31 1.1k
Ambreen Afsar Khan 1.6k 1.2× 1.0k 1.0× 1.1k 1.1× 240 1.6× 100 1.2× 72 1.8k
A. Abbasi 1.4k 1.0× 961 0.9× 892 0.9× 163 1.1× 75 0.9× 91 1.5k
Tehseen Abbas 1.3k 1.0× 1.0k 1.0× 912 0.9× 111 0.7× 66 0.8× 24 1.4k

Countries citing papers authored by Rahila Naz

Since Specialization
Citations

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

Fields of papers citing papers by Rahila Naz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rahila Naz

This figure shows the co-authorship network connecting the top 25 collaborators of Rahila Naz. A scholar is included among the top collaborators of Rahila Naz 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 Rahila Naz. Rahila Naz 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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