S. Vigneshwari

805 total citations
43 papers, 397 citations indexed

About

S. Vigneshwari is a scholar working on Artificial Intelligence, Information Systems and Plant Science. According to data from OpenAlex, S. Vigneshwari has authored 43 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 13 papers in Information Systems and 10 papers in Plant Science. Recurrent topics in S. Vigneshwari's work include Smart Agriculture and AI (9 papers), Semantic Web and Ontologies (8 papers) and Artificial Intelligence in Healthcare (4 papers). S. Vigneshwari is often cited by papers focused on Smart Agriculture and AI (9 papers), Semantic Web and Ontologies (8 papers) and Artificial Intelligence in Healthcare (4 papers). S. Vigneshwari collaborates with scholars based in India, Nepal and Taiwan. S. Vigneshwari's co-authors include T. Daniya, M. Aramudhan, Philip A. Thomas, Annadurai Thangaraj, Pitchairaj Geraldine, J. Albert Mayan, S. Prince Mary, Balajee Maram, B. Bharathi and R. Cristin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Thermal Analysis and Calorimetry and Heliyon.

In The Last Decade

S. Vigneshwari

38 papers receiving 360 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Vigneshwari India 11 127 94 69 66 45 43 397
Aqib Ali Pakistan 10 132 1.0× 100 1.1× 99 1.4× 96 1.5× 17 0.4× 33 492
Samreen Naeem Pakistan 10 130 1.0× 93 1.0× 98 1.4× 95 1.4× 14 0.3× 26 434
Md. Ashiqul Islam Bangladesh 9 159 1.3× 95 1.0× 73 1.1× 22 0.3× 22 0.5× 20 365
Abhishek Raghuvanshi India 6 87 0.7× 118 1.3× 34 0.5× 41 0.6× 54 1.2× 19 383
Oktay Yıldız Türkiye 13 79 0.6× 100 1.1× 28 0.4× 27 0.4× 41 0.9× 45 420
G. Sambasivam India 9 189 1.5× 100 1.1× 75 1.1× 71 1.1× 57 1.3× 20 447
Kamali Gupta India 12 84 0.7× 75 0.8× 20 0.3× 26 0.4× 127 2.8× 48 492
Vijaya R. Thool India 10 218 1.7× 113 1.2× 30 0.4× 39 0.6× 44 1.0× 27 530
Madhusudan G. Lanjewar India 15 187 1.5× 98 1.0× 201 2.9× 94 1.4× 8 0.2× 33 577
Fathe Jeribi Saudi Arabia 10 76 0.6× 83 0.9× 34 0.5× 30 0.5× 29 0.6× 35 327

Countries citing papers authored by S. Vigneshwari

Since Specialization
Citations

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

Fields of papers citing papers by S. Vigneshwari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Vigneshwari

This figure shows the co-authorship network connecting the top 25 collaborators of S. Vigneshwari. A scholar is included among the top collaborators of S. Vigneshwari 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 S. Vigneshwari. S. Vigneshwari 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.
Vigneshwari, S.. (2025). Magnetohydrodynamic natural convection of complex fluids in a square porous cavity: A numerical simulation. Journal of Thermal Engineering. 780–799. 1 indexed citations
2.
Vigneshwari, S., et al.. (2025). Thermal and flow dynamics of unsteady MHD nanofluid convection in a partially heated porous cavity. Journal of Thermal Analysis and Calorimetry. 150(7). 5601–5616. 1 indexed citations
3.
Vigneshwari, S., et al.. (2024). Atmospheric Wind Estimation Using Adaptive Block James–Stein Technique for Higher Range Coverage in MST Radar. Journal of the Indian Society of Remote Sensing. 52(9). 1937–1951.
4.
Vigneshwari, S., et al.. (2024). Implementation of Adaptive-Bayesian DStoch technique for obtaining winds from MST radar covering higher altitudes. Heliyon. 10(4). e26316–e26316. 1 indexed citations
5.
Ponnusamy, Vijayakumar, et al.. (2024). Prediction of Kidney Disease Utilizing a Hybrid Deep Learning Methodology. 1–8. 1 indexed citations
6.
Daniya, T. & S. Vigneshwari. (2023). Rider Water Wave-enabled deep learning for disease detection in rice plant. Advances in Engineering Software. 182. 103472–103472. 24 indexed citations
7.
Daniya, T. & S. Vigneshwari. (2023). Rice Plant Leaf Disease Detection and Classification Using Optimization Enabled Deep Learning. Journal of Environmental Informatics. 21 indexed citations
8.
Vigneshwari, S., et al.. (2023). Application of empirical Bayes adaptive estimation technique for estimating winds from MST radar covering higher altitudes. Signal Image and Video Processing. 17(7). 3303–3311. 2 indexed citations
9.
Vigneshwari, S., et al.. (2023). A novel hybrid deep learning method for early detection of lung cancer using neural networks. SHILAP Revista de lepidopterología. 3. 100195–100195. 70 indexed citations
10.
Maram, Balajee, et al.. (2022). Glaucoma detection using hybrid architecture based on optimal deep neuro fuzzy network. International Journal of Intelligent Systems. 37(9). 6305–6330. 6 indexed citations
11.
Vigneshwari, S., et al.. (2021). Design of agricultural ontology based on levy flight distributed optimization and Naïve Bayes classifier. Sadhana. 46(3). 4 indexed citations
12.
Vigneshwari, S., et al.. (2020). Machine Learning based Diabetes Prediction using Decision Tree J48. 498–502. 35 indexed citations
13.
Vigneshwari, S., et al.. (2019). A Study on the Application of Machine Learning Algorithms Using R. Journal of Computational and Theoretical Nanoscience. 16(8). 3466–3472. 2 indexed citations
14.
Vigneshwari, S., et al.. (2019). Service Direct : Platform that Incorporates Service Providers and Consumers Directly. International Journal of Engineering and Advanced Technology. 8(6). 3301–3304. 8 indexed citations
15.
Vigneshwari, S., et al.. (2019). A Novel HNN-DOC for Automated Agricultural Ontology Construction on Climate Factors. International Journal of Recent Technology and Engineering (IJRTE). 8(3). 6040–6042. 2 indexed citations
16.
Mary, S. Prince, et al.. (2019). Neural Computation based General Disease Prediction Model. International Journal of Recent Technology and Engineering (IJRTE). 8(2). 5646–5649. 7 indexed citations
17.
Vigneshwari, S., et al.. (2017). Automatic tumor segmentation using convolutional neural networks. 268–272. 13 indexed citations
18.
Vigneshwari, S. & M. Aramudhan. (2013). ANALYSIS OF ONTOLOGY ALIGNMENT ON DIFFERENT DOMAINS: A CROSS ONTOLOGICAL APPROACH. 7(1). 66–70. 2 indexed citations
19.
Vigneshwari, S. & M. Aramudhan. (2012). A novel approach for personalizing the web using user profiling ontologies. 8. 1–4. 3 indexed citations
20.
Thangaraj, Annadurai, et al.. (2011). Acetyl-l-carnitine prevents carbon tetrachloride-induced oxidative stress in various tissues of Wistar rats. Journal of Physiology and Biochemistry. 67(4). 519–530. 37 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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