K. Parvathi

947 total citations
37 papers, 664 citations indexed

About

K. Parvathi is a scholar working on Water Science and Technology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, K. Parvathi has authored 37 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Water Science and Technology, 9 papers in Artificial Intelligence and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in K. Parvathi's work include Adsorption and biosorption for pollutant removal (7 papers), Metaheuristic Optimization Algorithms Research (5 papers) and Chromium effects and bioremediation (4 papers). K. Parvathi is often cited by papers focused on Adsorption and biosorption for pollutant removal (7 papers), Metaheuristic Optimization Algorithms Research (5 papers) and Chromium effects and bioremediation (4 papers). K. Parvathi collaborates with scholars based in India, Canada and United States. K. Parvathi's co-authors include R. Nagendran, Anima Naik, Suresh Chandra Satapathy, R. Naresh Kumar, Vimal K. Shrivastava, Jitendra Kumar Das, P. Rajkumar, M. Ramakrishna Murty, P. V. G. D. Prasad Reddy and R. Kailappan and has published in prestigious journals such as International Journal of Remote Sensing, World Journal of Microbiology and Biotechnology and Drying Technology.

In The Last Decade

K. Parvathi

33 papers receiving 611 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
K. Parvathi India 14 181 157 83 74 67 37 664
Erdal Kılıç Türkiye 16 194 1.1× 189 1.2× 32 0.4× 14 0.2× 58 0.9× 76 969
Jingchen Li China 14 177 1.0× 109 0.7× 30 0.4× 45 0.6× 22 0.3× 52 809
Wu Kun China 14 130 0.7× 41 0.3× 123 1.5× 116 1.6× 17 0.3× 74 692
Shikha Gupta India 13 153 0.8× 57 0.4× 83 1.0× 45 0.6× 40 0.6× 31 676
G. Roux France 20 286 1.6× 80 0.5× 38 0.5× 100 1.4× 26 0.4× 99 1.4k
Chen Shen China 21 125 0.7× 599 3.8× 108 1.3× 24 0.3× 22 0.3× 88 1.5k
Chong Yang China 18 84 0.5× 112 0.7× 10 0.1× 53 0.7× 50 0.7× 54 840
Júlio César Duarte Brazil 14 61 0.3× 70 0.4× 123 1.5× 32 0.4× 13 0.2× 65 595
A. Seshagiri Rao India 25 160 0.9× 47 0.3× 20 0.2× 19 0.3× 30 0.4× 148 1.9k
Ximing Li China 19 46 0.3× 79 0.5× 171 2.1× 22 0.3× 14 0.2× 85 974

Countries citing papers authored by K. Parvathi

Since Specialization
Citations

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

Fields of papers citing papers by K. Parvathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Parvathi

This figure shows the co-authorship network connecting the top 25 collaborators of K. Parvathi. A scholar is included among the top collaborators of K. Parvathi 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 K. Parvathi. K. Parvathi 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
1.
2.
Parvathi, K., et al.. (2020). Machine Learning Based Braille Transliteration of O dia Language. International Journal of Innovative Technology and Exploring Engineering. 9(5). 1866–1871. 4 indexed citations
3.
Parvathi, K., et al.. (2019). Braille Transliteration Of Hindi Handwritten Texts Using Machine Learning For Character Recognition. International journal of scientific and technology research. 8(10). 1188–1193. 12 indexed citations
4.
Parvathi, K., et al.. (2017). Road Traffic Fatalities: A Retrospective Study. Indian Journal of Forensic Medicine & Toxicology. 11(2). 115–115.
5.
Parvathi, K., et al.. (2015). Odia Braille: Text transcription via image processing. 138–143. 13 indexed citations
6.
Murty, M. Ramakrishna, Anima Naik, J. V. R. Murthy, et al.. (2014). Automatic Clustering Using Teaching Learning Based Optimization. Applied Mathematics. 5(8). 1202–1211. 15 indexed citations
7.
Kanungo, Priyadarshi, et al.. (2014). Three frame based adaptive background subtraction. 4 indexed citations
8.
Satapathy, Suresh Chandra, Anima Naik, & K. Parvathi. (2013). A teaching learning based optimization based on orthogonal design for solving global optimization problems. SpringerPlus. 2(1). 130–130. 82 indexed citations
9.
Satapathy, Suresh Chandra, Anima Naik, & K. Parvathi. (2013). Unsupervised feature selection using rough set and teaching learning-based optimisation. 3(3). 244–244. 8 indexed citations
10.
Satapathy, Suresh Chandra, Anima Naik, & K. Parvathi. (2013). Weighted Teaching-Learning-Based Optimization for Global Function Optimization. Applied Mathematics. 4(3). 429–439. 54 indexed citations
11.
Sivakumar, Nallusamy & K. Parvathi. (2012). Acid Orange 10 adsorption on novel mesoporous activated Carbon obtained from cotton boll pod(rind) – an agricultural waste. International Journal of Scientific Research. 2(7). 58–63.
12.
Parvathi, K. & R. Nagendran. (2008). Functional groups on waste beer yeast involved in chromium biosorption from electroplating effluent. World Journal of Microbiology and Biotechnology. 24(12). 2865–2870. 27 indexed citations
13.
Rajkumar, P., et al.. (2007). Thin Layer Drying Study on Foamed Mango Pulp. eCommons (Cornell University). 15 indexed citations
14.
Parvathi, K., et al.. (2007). Effect of pH on chromium biosorption by chemically treated Saccharomyces cerevisiae. Journal of Scientific & Industrial Research. 66(8). 675–679. 6 indexed citations
15.
Kumar, R. Naresh, R. Nagendran, & K. Parvathi. (2007). Microbial solubilization of heavy metals from soil using indigenous sulfur oxidizing bacterium: Effects of sulfur/soil ratio. Journal of Scientific & Industrial Research. 66(8). 680–683. 2 indexed citations
16.
Parvathi, K. & R. Nagendran. (2007). Biosorption of Chromium from Effluent Generated in Chrome‐Electroplating Unit usingSaccharomyces cerevisiae. Separation Science and Technology. 42(3). 625–638. 40 indexed citations
17.
Parvathi, K., R. Nagendran, & R. Naresh Kumar. (2007). Lead biosorption onto waste beer yeast by-product, a means to decontaminate effluent generated from battery manufacturing industry. Electronic Journal of Biotechnology. 10(1). 0–0. 88 indexed citations
18.
Parvathi, K., R. Naresh Kumar, & R. Nagendran. (2007). MANGANESE BIOSORPTION SITES OFSACCHAROMYCES CEREVISIAE. Environmental Technology. 28(7). 779–784. 8 indexed citations
19.
Kumar, R. Naresh, R. Nagendran, & K. Parvathi. (2007). Bioleaching of heavy metals from contaminated soil using Acidithiobacillus thiooxidans: effect of sulfur/soil ratio. World Journal of Microbiology and Biotechnology. 24(8). 1539–1546. 38 indexed citations
20.
Parvathi, K., et al.. (2005). Studies on Wheat Based Composite Flour for Pasta Products. The Indian Journal of Nutrition and Dietetics. 42(11). 503–508. 5 indexed citations

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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