Seemab Bashir

13 papers receiving 378 citations

Seemab Bashir's Hit Papers

Model‐based comparative study of magnetohydrodynamics unsteady hybrid nanofluid flow between two infinite parallel plates with particle shape effects 2022 · 244 citations
2440+1+2Years since publication50100150200

Peers

Seemab Bashir
Comparison fields: 5 of 62
  • Computational Mechanics 153
  • Biomedical Engineering 268
  • Mechanical Engineering 226
  • Modeling and Simulation 23
  • Fluid Flow and Transfer Processes 17
Replace Jize Sui with:
Jize Sui China
Mohammad Nimafar Iran
Naveed Imran Pakistan
G. Venkata Ramana Reddy India
Akbar Ghafourian Iran
Harshad Sanjay Gaikwad India
Anwar Gavili Iran
Anandaroop Bhattacharya India
Ajay Katiyar India
Youssef Shatilla United States
Seemab Bashir relative to Jize Sui China Jize Sui's profile →
Citations per field
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Jize Sui · 1×
Citations per year

Countries citing papers authored by Seemab Bashir

Since Specialization
Citations

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

Fields of papers citing papers by Seemab Bashir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Seemab Bashir, 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 Seemab Bashir Line = papers co-authored together Seemab Bashir links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Model‐based comparative study of magnetohydrodynamics unsteady hybrid nanofluid flow between two infinite parallel plates with particle shape effects
Hit paper breakdown →
2022244
2 202132
3 202226
4 202121
5 202417
6 201910
7 202110
8 20169
9 20177
10 20175
11 20233
12 20202
13 20191
14 20230

About Seemab Bashir

Seemab Bashir is a scholar working on Biomedical Engineering, Molecular Biology, Spectroscopy, Computational Mechanics and Mechanical Engineering, having authored 14 papers that have together received 387 indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (6 papers), Nanofluid Flow and Heat Transfer (6 papers), Protein purification and stability (5 papers), Heat Transfer Mechanisms (4 papers), Fluid Dynamics and Turbulent Flows (3 papers), Heat Transfer and Optimization (2 papers), Particle Dynamics in Fluid Flows (2 papers) and Crystallization and Solubility Studies (2 papers). The work is most often cited by research in Computational Mechanics (153 citations), Biomedical Engineering (268 citations), Mechanical Engineering (226 citations), Modeling and Simulation (23 citations) and Fluid Flow and Transfer Processes (17 citations). Seemab Bashir has collaborated with scholars based in Pakistan, Saudi Arabia and Germany. Frequent co-authors include Muhammad Ramzan, Yu‐Ming Chu, M.Y. Malik, Shamsul Qamar, Andreas Seidel‐Morgenstern, C. Ahamed Saleel, Seifedine Kadry, M. Atif, Hassan Ali Ghazwani and Anas Abdelrahman. Their work appears in journals such as Mathematical Methods in the Applied Sciences, Journal of Alloys and Compounds, Process Safety and Environmental Protection, Journal of Liquid Chromatography & Related Technologies and Heliyon.

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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