D. R. Kaushal

1.8k total citations
67 papers, 1.4k citations indexed

About

D. R. Kaushal is a scholar working on Mechanical Engineering, Computational Mechanics and Civil and Structural Engineering. According to data from OpenAlex, D. R. Kaushal has authored 67 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Mechanical Engineering, 31 papers in Computational Mechanics and 21 papers in Civil and Structural Engineering. Recurrent topics in D. R. Kaushal's work include Coal Combustion and Slurry Processing (26 papers), Granular flow and fluidized beds (25 papers) and Urban Stormwater Management Solutions (12 papers). D. R. Kaushal is often cited by papers focused on Coal Combustion and Slurry Processing (26 papers), Granular flow and fluidized beds (25 papers) and Urban Stormwater Management Solutions (12 papers). D. R. Kaushal collaborates with scholars based in India, Japan and Germany. D. R. Kaushal's co-authors include Yuji TOMITA, Shigeru Kuchii, Hiroshi Tsukamoto, Arvind Kumar, Kimihiko Sato, Satish Kumar, Navneet Kumar, Akhileshwar Nirala, Shatrughan Soren and Srinivas Pasupuleti and has published in prestigious journals such as Journal of Hydrology, Powder Technology and International Journal of Multiphase Flow.

In The Last Decade

D. R. Kaushal

61 papers receiving 1.4k citations

Peers

D. R. Kaushal
Comparison fields: 5 of 65
  • Computational Mechanics 763
  • Mechanical Engineering 632
  • Ocean Engineering 472
  • Civil and Structural Engineering 258
  • Ecological Modeling 187
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Stefano Malavasi Italy View profile →
Citations per field, relative to D. R. Kaushal
D. R. Kaushal · 1×
Citations per year, relative to D. R. Kaushal
D. R. Kaushal · 1×

Countries citing papers authored by D. R. Kaushal

Since Specialization
Citations

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

Fields of papers citing papers by D. R. Kaushal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. R. Kaushal. 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 D. R. Kaushal. The network helps show where D. R. Kaushal may publish in the future.

Co-authorship network of co-authors of D. R. Kaushal

This figure shows the co-authorship network connecting the top 25 collaborators of D. R. Kaushal. A scholar is included among the top collaborators of D. R. Kaushal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with D. R. Kaushal. D. R. Kaushal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 2
4 0
5 2
6 29
7 15
8 2
9
Computation Modelling for Fine Particle Flow in Horizontal Slurry Pipelines
2
10 42
11 25
12 71
13 11
14
Optimum design of high concentration fly ash slurry disposal pipeline
1
15 207
16 1
17 8
18
120. Concentration and Particle Size Distribution in the Flow of Multi-Sized Particulate Slurry Through Rectangular Duct
2
19
AN IMPROVED METHOD FOR PREDICTING SOLIDS CONCENTRATION PROFILES IN SLURRY FLOW THROUGH PIPELING, RECTANGULAR DUCT AND OPEN CHANNEL
2
20 31

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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