Seemab Bashir

13 papers receiving 382 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 · 247 citations
2470+1+2Years since publication50100150200

Peers

Seemab Bashir
Comparison fields: 5 of 61
  • Computational Mechanics 154
  • Biomedical Engineering 273
  • Mechanical Engineering 228
  • Modeling and Simulation 24
  • Fluid Flow and Transfer Processes 17
Replace Fengqin Li with:
Fengqin Li China
G. Venkata Ramana Reddy India
Harshad Sanjay Gaikwad India
Anwar Gavili Iran
Maryamalsadat Lajvardi Iran
Ajay Katiyar India
Sayan Das India
Milind S. Kulkarni United States
Azam Usefian Iran
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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 25 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

15 of 15 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 →
2022247
2 202132
3 202226
4 202122
5 202417
6 202111
7 201910
8 20169
9 20177
10 20175
11 20204
12 20233
13 20191
14 20230
15 20260

About Seemab Bashir

Seemab Bashir is a scholar working on Spectroscopy, Biomedical Engineering, Computational Mechanics, Analytical Chemistry and Mechanical Engineering, having authored 15 papers that have together received 394 indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (7 papers), Analytical Chemistry and Chromatography (6 papers), Protein purification and stability (5 papers), Heat Transfer Mechanisms (4 papers), Fluid Dynamics and Turbulent Flows (3 papers), Crystallization and Solubility Studies (2 papers), Chromatography in Natural Products (2 papers) and Particle Dynamics in Fluid Flows (2 papers). The work is most often cited by research in Computational Mechanics (154 citations), Biomedical Engineering (273 citations), Mechanical Engineering (228 citations), Modeling and Simulation (24 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 Asif Ramzan, Yu‐Ming Chu, Muhammad Yousaf Malik, Shamsul Qamar, Andreas Seidel‐Morgenstern, Chanduveetil Ahamed Saleel, Seifedine Kadry, Prof. Kottakkaran Sooppy Nisar, Naseem Iqbal and Waqas Khalid. Their work appears in journals such as Scientific Reports, Journal of Central South University, Industrial & Engineering Chemistry Research, Heliyon and Journal of Liquid Chromatography & Related Technologies.

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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