C. Sunitha

638 citations
20 papers · 440 · h-index 9

Impact in

    • Sentiment Analysis and Opinion Mining
    • Advanced Text Analysis Techniques
    • Topic Modeling
    • Natural Language Processing Techniques
    • Text and Document Classification Technologies
    • Spam and Phishing Detection
    • Cloud Data Security Solutions

Papers in

C. Sunitha

16 papers receiving 405 citations

Peers

C. Sunitha
Comparison fields: 5 of 74
  • Artificial Intelligence 292
  • Information Systems 122
  • General Social Sciences 7
  • Management Information Systems 20
  • Management Science and Operations Research 23
Replace Amal Ganesh with:
Amal Ganesh India
Vaibhav Kumar India
Dani Gunawan Indonesia
Solange Nice Alves-Souza Brazil
Mohammed Saeed France
Fernando Enríquez Spain
Henda Hajjami Ben Ghézala Tunisia
Deniz Kılınç Türkiye
Renato Fileto Brazil
Sang-ug Kang South Korea
C. Sunitha relative to Amal Ganesh India Amal Ganesh's profile →
Citations per field
00.5×1.5×
Amal Ganesh · 1×
Citations per year

Countries citing papers authored by C. Sunitha

Since Specialization
Citations

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

Fields of papers citing papers by C. Sunitha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside C. Sunitha, 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 C. Sunitha Line = papers co-authored together C. Sunitha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2016246
2 201639
3 201630
4 201828
5 201625
6 201618
7 200911
8 20169
9 20238
10 20157
11
An Effective Data Storage Security Scheme forCloud Computing
20134
12 20194
13 20194
14 20184
15 20202
16 20171
17
Analysis and Visualization of Medical Image Processing
20130
18 20230
19 20250
20 20180

About C. Sunitha

C. Sunitha is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 20 papers that have together received 440 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers), Advanced Text Analysis Techniques (4 papers), Cryptography and Data Security (2 papers), IoT and Edge/Fog Computing (2 papers), Speech Recognition and Synthesis (2 papers), Cloud Data Security Solutions (2 papers) and IoT-based Smart Home Systems (2 papers). The work is most often cited by research in Artificial Intelligence (292 citations), Information Systems (122 citations), General Social Sciences (7 citations), Management Information Systems (20 citations) and Management Science and Operations Research (23 citations). C. Sunitha has collaborated with scholars based in India, Italy and France. Frequent co-authors include Amal Ganesh, E. Chandra, Giulio Lorenzini, Shaik Mohammed Ibrahim, Prathi Vijaya Kumar, Subba Rao and S. Siva Sathya. Their work appears in journals such as Indian Journal of Science and Technology, International Journal of Electrical and Computer Engineering (IJECE), Journal of Engineering Thermophysics, Lecture notes on data engineering and communications technologies and International Journal of Trend in Scientific Research and Development.

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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