Qammar Rubbab

413 citations
28 papers · 328 · h-index 12

Impact in

Papers in

Qammar Rubbab

26 papers receiving 322 citations

Peers

Qammar Rubbab
Comparison fields: 5 of 51
  • Modeling and Simulation 101
  • Numerical Analysis 46
  • Computational Mechanics 157
  • Fluid Flow and Transfer Processes 41
  • Biomedical Engineering 224
Replace Musawa Yahya Almusawa with:
Musawa Yahya Almusawa Saudi Arabia
M. Famouri Iran
Aziz Ur Rehman Pakistan
Mohammed Alshbool United Arab Emirates
Mohammad Akram Saudi Arabia
Yi-Xia Li China
Naveed Khan Pakistan
Z. G. Makukula South Africa
Yusuf Olatunji Tijani South Africa
Mashael M. AlBaidani Saudi Arabia
Qammar Rubbab relative to Musawa Yahya Almusawa Saudi Arabia Musawa Yahya Almusawa's profile →
Citations per field
00.5×6.1×
Musawa Yahya Almusawa · 1×
Citations per year

Countries citing papers authored by Qammar Rubbab

Since Specialization
Citations

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

Fields of papers citing papers by Qammar Rubbab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Qammar Rubbab, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Qammar Rubbab Line = papers co-authored together Qammar Rubbab links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202035
2 201829
3 202428
4 201625
5 201325
6 201624
7 201524
8 201621
9 202415
10 201913
11 201913
12 201311
13 20259
14 20177
15 20107
16
EXACT SOLUTIONS OF GENERALIZED OLDROYD-B FLUID SUBJECT TO A TIME-DEPENDENT SHEAR STRESS IN A PIPE
20096
17 20215
18 20245
19 20254
20 20204

About Qammar Rubbab

Qammar Rubbab is a scholar working on Biomedical Engineering, Computational Mechanics, Modeling and Simulation, Mechanical Engineering and Fluid Flow and Transfer Processes, having authored 28 papers that have together received 328 indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (17 papers), Fluid Dynamics and Turbulent Flows (10 papers), Fractional Differential Equations Solutions (10 papers), Heat Transfer Mechanisms (5 papers), Rheology and Fluid Dynamics Studies (5 papers), Graph theory and applications (4 papers), Fluid Dynamics and Vibration Analysis (4 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Modeling and Simulation (101 citations), Numerical Analysis (46 citations), Computational Mechanics (157 citations), Fluid Flow and Transfer Processes (41 citations) and Biomedical Engineering (224 citations). Qammar Rubbab has collaborated with scholars based in Pakistan, China and Saudi Arabia. Frequent co-authors include Najeeb Alam Khan, Faqiha Sultan, M. Zubair Akbar Qureshi, Asmat Ara, Corina Fetecǎu, Abdul Rauf, M. Ijaz Khan, Yu‐Ming Chu, Farah Naz and Fayyaz Ahmad. Their work appears in journals such as AIP Advances, Polycyclic aromatic compounds, Case Studies in Thermal Engineering, Journal of Thermal Analysis and Calorimetry and Engineering Applications of Artificial Intelligence.

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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