K. Nandakumar

6.7k citations
240 papers · 5.5k indexed · h-index 42

K. Nandakumar

234 papers receiving 5.2k citations

Peers

K. Nandakumar
Comparison fields: 5 of 137
  • Computational Mechanics 2.6k
  • Ocean Engineering 979
  • Ecological Modeling 223
  • Fluid Flow and Transfer Processes 298
  • Biomedical Engineering 2.1k
Replace Uwe Hampel with:
Uwe Hampel Germany
Geoffrey F. Hewitt United Kingdom
Jianzhong Lin China
J. Szekely United States
B.J. Azzopardi United Kingdom
G. Hetsroni Israel
J.F. Davidson United Kingdom
D.B. Kothe United States
A. E. Dukler United States
Lei Wang China
K. Nandakumar relative to Uwe Hampel Germany Uwe Hampel's profile →
Citations per field
00.5×4.3×
Uwe Hampel · 1×
Citations per year

Countries citing papers authored by K. Nandakumar

Since Specialization
Citations

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

Fields of papers citing papers by K. Nandakumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202519
2 20230
3 20233
4 20221
5
Experimental validation and Parametric Optimization in MIG welding of A-36 steel plate using Taguchi-Fuzzy logic approach
20211
6 202011
7 201740
8 20166
9 20159
10 20154
11 201515
12 201526
13 20146
14 201128
15 200719
16 200747
17 20061
18 19931
19 198911
20 198124

About K. Nandakumar

K. Nandakumar is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes, Ocean Engineering, Biomedical Engineering and Mechanical Engineering, having authored 240 papers that have together received 5.5k indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (36 papers), Granular flow and fluidized beds (33 papers), Fluid Dynamics and Heat Transfer (31 papers), Fluid Dynamics and Mixing (29 papers), Fluid Dynamics and Vibration Analysis (28 papers), Lattice Boltzmann Simulation Studies (28 papers), Nanofluid Flow and Heat Transfer (25 papers) and Particle Dynamics in Fluid Flows (22 papers). The work is most often cited by research in Computational Mechanics (2.6k citations), Ocean Engineering (979 citations), Ecological Modeling (223 citations), Fluid Flow and Transfer Processes (298 citations) and Biomedical Engineering (2.1k citations). K. Nandakumar has collaborated with scholars based in Canada, United States and India. Frequent co-authors include Jacob H. Masliyah, P Minev, Jyeshtharaj B. Joshi, K. T. Chuang, Abdallah S. Berrouk, C.L. Wu, Cunkui Huang, R. Sean Sanders, Artin Afacan and Suddhasatwa Basu. Their work appears in journals such as The Canadian Journal of Chemical Engineering, Journal of Fluid Mechanics, Chemical Engineering Science, AIChE Journal and Powder Technology.

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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