Hamid Khan

44 papers receiving 548 citations

Peers

Hamid Khan
Comparison fields: 5 of 32
  • Modeling and Simulation 157
  • Fluid Flow and Transfer Processes 128
  • Numerical Analysis 80
  • Computational Mechanics 273
  • Biomedical Engineering 451
Replace Ramesh B. Kudenatti with:
Ramesh B. Kudenatti India
M. Hameed Pakistan
Faiz G. Awad South Africa
Maryam Aleem Pakistan
K. R. Raghunatha India
Samuel S. Okoya Nigeria
C. Y. Wang United States
M. Famouri Iran
Asma Khalid Saudi Arabia
M. M. Alqarni Saudi Arabia
Hamid Khan relative to Ramesh B. Kudenatti India Ramesh B. Kudenatti's profile →
Citations per field
00.5×
Ramesh B. Kudenatti · 1×
Citations per year

Countries citing papers authored by Hamid Khan

Since Specialization
Citations

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

Fields of papers citing papers by Hamid Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hamid Khan, 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 Hamid Khan Line = papers co-authored together Hamid Khan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202162
2 201650
3 201737
4 200935
5 201527
6 202227
7 201924
8 202321
9 201620
10 202220
11 201618
12 201116
13 202216
14 202314
15 202213
16 201613
17 201113
18 202413
19 201313
20 201511

About Hamid Khan

Hamid Khan is a scholar working on Biomedical Engineering, Modeling and Simulation, Computational Mechanics, Mechanical Engineering and Numerical Analysis, having authored 51 papers that have together received 572 indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (32 papers), Fractional Differential Equations Solutions (23 papers), Rheology and Fluid Dynamics Studies (12 papers), Heat Transfer Mechanisms (12 papers), Fluid Dynamics and Turbulent Flows (12 papers), Iterative Methods for Nonlinear Equations (10 papers), Heat and Mass Transfer in Porous Media (3 papers) and Mathematical and Theoretical Analysis (2 papers). The work is most often cited by research in Modeling and Simulation (157 citations), Fluid Flow and Transfer Processes (128 citations), Numerical Analysis (80 citations), Computational Mechanics (273 citations) and Biomedical Engineering (451 citations). Hamid Khan has collaborated with scholars based in Pakistan, Saudi Arabia and China. Frequent co-authors include Mubashir Qayyum, Ikram Ullah, Syed Irfan Shah, Saeed Islam, Weifeng Xia, A. M. Siddiqui, Metib Alghamdi, T. Haroon, Mohammad Mahtab Alam and Sohail Ahmad. Their work appears in journals such as Abstract and Applied Analysis, Waves in Random and Complex Media, Propulsion and Power Research, Advances in Difference Equations and International Communications in Heat and Mass Transfer.

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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