T. Anitha

28 papers receiving 497 citations

Peers

T. Anitha
Comparison fields: 5 of 94
  • Water Science and Technology 240
  • Industrial and Manufacturing Engineering 49
  • Analytical Chemistry 46
  • Ophthalmology 31
  • Organic Chemistry 96
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Countries citing papers authored by T. Anitha

Since Specialization
Citations

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

Fields of papers citing papers by T. Anitha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside T. Anitha, 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. Anitha Line = papers co-authored together T. Anitha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016122
2 201582
3 201471
4 202253
5 202241
6 201530
7 201928
8 202220
9 202216
10 202213
11 20235
12 20225
13
Cardio-Vascular Disease Classification Using Stacked Segmentation Model and Convolutional Neural Networks
20205
14 20244
15
Comparative Study of Adsorption for Chitosan, Sand and Chitosan Coated Sand
20133
16 20203
17 20133
18 20213
19 20162
20
Detection of Antibodies in Milk for the Pyruvate formate lyase associated with S.aureus isolated from mastitis affected milk by serological proteome analysis
20142

About T. Anitha

T. Anitha is a scholar working on Computer Networks and Communications, Water Science and Technology, Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems, having authored 29 papers that have together received 521 indexed citations. Recurring topics across this work include Adsorption and biosorption for pollutant removal (5 papers), Digital Imaging for Blood Diseases (3 papers), IoT and Edge/Fog Computing (3 papers), Internet of Things and AI (3 papers), Blockchain Technology Applications and Security (2 papers), Remote Sensing and Land Use (2 papers), Nanomaterials for catalytic reactions (2 papers) and Electrostatics and Colloid Interactions (2 papers). The work is most often cited by research in Water Science and Technology (240 citations), Industrial and Manufacturing Engineering (49 citations), Analytical Chemistry (46 citations), Ophthalmology (31 citations) and Organic Chemistry (96 citations). T. Anitha has collaborated with scholars based in India, Ethiopia and United States. Frequent co-authors include P. Senthil Kumar, K. Sathish Kumar, Sathish Kumar Kannaiyan, T. Rajendran, G. Charlyn Pushpa Latha, Krishnan Sriram, G. Emayavaramban, Jahangeer Ahmed, S. Manimurugan and Rashmita Khilar. Their work appears in journals such as Computational Intelligence and Neuroscience, Environmental Progress & Sustainable Energy, Wireless Communications and Mobile Computing, Process Safety and Environmental Protection and Journal of Water Process Engineering.

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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