T. Meenambal

506 citations
25 papers · 332 indexed · h-index 10

T. Meenambal

24 papers receiving 308 citations

Peers

T. Meenambal
Comparison fields: 5 of 59
  • Water Science and Technology 179
  • Industrial and Manufacturing Engineering 103
  • Geochemistry and Petrology 60
  • Pollution 98
  • Environmental Engineering 68
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Citations per year

Countries citing papers authored by T. Meenambal

Since Specialization
Citations

This map shows the geographic impact of T. Meenambal'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 T. Meenambal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Meenambal more than expected).

Fields of papers citing papers by T. Meenambal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 10 scholars most cited alongside T. Meenambal, 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 T. Meenambal Line = papers co-authored together T. Meenambal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20212
2 202010
3 201942
4 201929
5 201819
6
Artificial neural network modelling and economic analysis of soil subgrade stabilized with flyash and geotextile.
20173
7 20174
8 20162
9 201615
10 201512
11
Study of Starch Based Coagulant in the Treatment of Dairy Waste Water in Coimbatore, Tamil Nadu
20141
12
Bioremediation of municipal solid waste by windrow composting.
20131
13
SPATIAL PREDICTION OF HEAVY METAL POLLUTION FOR SOILS IN COIMBATORE, INDIA BASED ON ANN AND KRIGING MODEL
20122
14
Spatial Prediction of Heavy Metal Pollution for Soils in Coimbatore, India based on universal kriging
20117
15 201159
16 201071
17
Multiple linear regression analysis for air pollutant concentrations in Coimbatore city
20090
18
Comparative Study on Start - Up Performance of HUASB and AF Reactors Treating Poultry Slaughterhouse Wastewater
200823
19
Colour removal from textile waste water using bioculture in continous mode.
20063
20
In-vessel composting of different organic waste.
20031

About T. Meenambal

T. Meenambal is a scholar working on Water Science and Technology, Pollution and Industrial and Manufacturing Engineering, having authored 25 papers that have together received 332 indexed citations. Recurring topics across this work include Water Quality and Pollution Assessment (5 papers), Wastewater Treatment and Nitrogen Removal (4 papers), Recycling and Waste Management Techniques (3 papers), Membrane Separation Technologies (3 papers), Anaerobic Digestion and Biogas Production (3 papers), Composting and Vermicomposting Techniques (3 papers), Heavy metals in environment (2 papers) and Extraction and Separation Processes (2 papers). The work is most often cited by research in Water Science and Technology (179 citations), Industrial and Manufacturing Engineering (103 citations) and Geochemistry and Petrology (60 citations). T. Meenambal has collaborated with scholars based in India, Ethiopia and South Korea. Frequent co-authors include R Rajakumar, Ikjun Yeom, J. Rajesh Banu, Praveen Saravanan, K. Shankar, R. Saravanan, N. Balasubramanian, S. Anand, Vikas Kumar and Vinod Kumar. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioresource Technology and International Journal of Environmental Science and 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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