M. Kavitha

41 papers receiving 416 citations

M. Kavitha's Hit Papers

Heart Disease Prediction using Hybrid machine Learning Model 2021 · 211 citations
2110+1+3Years since publication50100150200

Peers

M. Kavitha
Comparison fields: 5 of 80
  • Health Information Management 190
  • Medical Laboratory Technology 38
  • Health Informatics 10
  • Artificial Intelligence 175
  • Computer Networks and Communications 47
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Kaan Uyar Cyprus
Abdul Wahab Muzaffar Pakistan
K. Arumugam India
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Shadi Basurra United Kingdom
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Citations per year

Countries citing papers authored by M. Kavitha

Since Specialization
Citations

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

Fields of papers citing papers by M. Kavitha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside M. Kavitha, 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 M. Kavitha Line = papers co-authored together M. Kavitha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Heart Disease Prediction using Hybrid machine Learning Model
Hit paper breakdown →
2021211
2 202142
3 202224
4 202118
5 202017
6 202317
7 202215
8 20208
9 20226
10 20226
11
Association Rule Mining using Apriori Algorithm for Extracting Product Sales Patterns in Groceries
20206
12 20235
13 20225
14 20235
15 20235
16 20234
17 20224
18 20234
19 20234
20 20113

About M. Kavitha

M. Kavitha is a scholar working on Information Systems, Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 49 papers that have together received 449 indexed citations. Recurring topics across this work include IoT-based Smart Home Systems (7 papers), Smart Agriculture and AI (5 papers), IoT and Edge/Fog Computing (4 papers), Water Quality Monitoring Technologies (4 papers), Cutaneous Melanoma Detection and Management (3 papers), Artificial Intelligence in Healthcare (3 papers), Network Security and Intrusion Detection (3 papers) and Fire Detection and Safety Systems (3 papers). The work is most often cited by research in Health Information Management (190 citations), Medical Laboratory Technology (38 citations), Health Informatics (10 citations), Artificial Intelligence (175 citations) and Computer Networks and Communications (47 citations). M. Kavitha has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include R. Dinesh, A. Sridevi, P V V S Srinivas, P. Venkata Krishna, M. Krishnamurthy, R. Baskaran, Chandra Sekhar Kolli, V. Saritha, A. Kannan and Mohammad S. Obaidat. Their work appears in journals such as Surface Review and Letters, Journal of Materials Science Materials in Electronics, International Journal of Modern Education and Computer Science, Journal of Pharmacy And Bioallied Sciences and International Journal of Advanced Computer Science and Applications.

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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