Sreepriya Vedantam

671 citations
17 papers · 534 indexed · h-index 12
Topics
Fluid Dynamics and Turbulent Flows (4 papers)Membrane Separation Technologies (3 papers)Membrane-based Ion Separation Techniques (3 papers)
Journals
SHILAP Revista de lepidopterologíaWater ResearchBioresource Technology
Partner nations
IndiaBelgiumEcuador

In The Last Decade

Sreepriya Vedantam

17 papers receiving 526 citations

Peers

Sreepriya Vedantam
Comparison fields: 5 of 73
  • Biomedical Engineering 286
  • Mechanical Engineering 151
  • Computational Mechanics 135
  • Water Science and Technology 126
  • Electrical and Electronic Engineering 73
Replace Norbert Räbiger with:
Norbert Räbiger Germany
A. Saboni France
Pavel Ditl Czechia
Abdolrasoul Pouranfard Iran
Aymn Abdulrahman Saudi Arabia
J. Ramírez-Muñoz Mexico
Marcin Dudek Norway
Takuo Sugawara Japan
Giorgia De Guido Italy
Marie Debacq France
Sreepriya Vedantam relative to Norbert Räbiger Germany Norbert Räbiger's profile →
Citations per field
00.5×1.5×2.0×
Norbert Räbiger · 1×
Citations per year

Countries citing papers authored by Sreepriya Vedantam

Since Specialization
Citations

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

Fields of papers citing papers by Sreepriya Vedantam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sreepriya Vedantam

This figure shows the co-authorship network connecting the top 25 collaborators of Sreepriya Vedantam. A scholar is included among the top collaborators of Sreepriya Vedantam 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 Sreepriya Vedantam. Sreepriya Vedantam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 1
2 133
3 11
4 5
5 7
6 49
7 48
8 21
9 21
10 56
11 13
12 43
13 68
14 26
15
CFD simulation of stratified two-fluid Taylor-Couette flow
1
16 13
17 18

About Sreepriya Vedantam

Sreepriya Vedantam is a scholar working on Filtration and Separation, Computational Mechanics and Fluid Flow and Transfer Processes, having authored 17 papers that have together received 534 indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (4 papers), Membrane Separation Technologies (3 papers) and Membrane-based Ion Separation Techniques (3 papers). The work is most often cited by research in Water Science and Technology (126 citations), Computational Mechanics (135 citations) and Biomedical Engineering (286 citations). Sreepriya Vedantam has collaborated with scholars based in India, Belgium and Ecuador. Frequent co-authors include Jyeshtharaj B. Joshi, Ingmar Nopens, Vivek V. Ranade, S. B. Koganti, Andrés Alvarado, Peter Goethals, Wouter Naessens, Thomas Maere, Nicolás Ratkovich and Mahesh T. Dhotre. Their work appears in journals such as SHILAP Revista de lepidopterología, Water Research and Bioresource 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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