Perumal Kumar

58 papers receiving 833 citations

Peers

Perumal Kumar
Comparison fields: 5 of 90
  • Filtration and Separation 76
  • Catalysis 205
  • Fluid Flow and Transfer Processes 76
  • Computational Mechanics 160
  • Biomedical Engineering 302
Replace Iris Cornet with:
Iris Cornet Belgium
Zongchang Zhao China
Ali Bakhtyari Iran
P. S. T. Sai India
Hossein Sakhaeinia Iran
Won Kook Lee South Korea
Hossein Bahmanyar Iran
Márcio L.L. Paredes Brazil
Dapeng Hu China
Petri Uusi–Kyyny Finland
Perumal Kumar relative to Iris Cornet Belgium Iris Cornet's profile →
Citations per field
00.5×2×2.7×
Iris Cornet · 1×
Citations per year

Countries citing papers authored by Perumal Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Perumal Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016231
2 199998
3 201047
4 202346
5 202035
6 199830
7 201524
8 202023
9 201918
10 202016
11 202016
12 201716
13 202314
14 202313
15 201912
16 200812
17
Extraction of Keratin Protein from Chicken Feather
201112
18 200812
19 201712
20 201211

About Perumal Kumar

Perumal Kumar is a scholar working on Computational Mechanics, Mechanical Engineering, Biomedical Engineering, Spectroscopy and Analytical Chemistry, having authored 63 papers that have together received 867 indexed citations. Recurring topics across this work include Carbon Dioxide Capture Technologies (8 papers), Heat Transfer Mechanisms (8 papers), Phase Equilibria and Thermodynamics (7 papers), Heat Transfer and Optimization (7 papers), Mass Spectrometry Techniques and Applications (5 papers), Fluid Dynamics and Mixing (5 papers), Flow Measurement and Analysis (4 papers) and Nanofluid Flow and Heat Transfer (4 papers). The work is most often cited by research in Filtration and Separation (76 citations), Catalysis (205 citations), Fluid Flow and Transfer Processes (76 citations), Computational Mechanics (160 citations) and Biomedical Engineering (302 citations). Perumal Kumar has collaborated with scholars based in Malaysia, India and Australia. Frequent co-authors include Agus Saptoro, Dr. Hirra Anjum, Thanabalan Murugesan, Azmi Mohd Shariff, Jyeshtharaj Bhalchandra Joshi, Wan Sieng Yeo, Ashwin W. Patwardhan, Mee Kee Wong, Foster Kofi Ayittey and Manda V. Suryanarayana. Their work appears in journals such as Process Safety and Environmental Protection, Industrial & Engineering Chemistry Research, Greenhouse Gases Science and Technology, Flow Measurement and Instrumentation and Environment Development and Sustainability.

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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