R. Nedunchezhian

620 citations
41 papers · 400 indexed · h-index 11

R. Nedunchezhian

37 papers receiving 357 citations

Peers

R. Nedunchezhian
Comparison fields: 5 of 76
  • Hardware and Architecture 49
  • Information Systems 132
  • Computer Networks and Communications 130
  • Computer Vision and Pattern Recognition 84
  • Artificial Intelligence 132
Replace C. Raghavendra Rao with:
C. Raghavendra Rao India
Phu H. Phung United States
Thomas J. Hacker United States
Sahalu B. Junaidu Nigeria
Amit Kumar Sikder United States
Gaurav Sharma India
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R. Nedunchezhian relative to C. Raghavendra Rao India C. Raghavendra Rao's profile →
Citations per field
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Citations per year

Countries citing papers authored by R. Nedunchezhian

Since Specialization
Citations

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

Fields of papers citing papers by R. Nedunchezhian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 12 scholars most cited alongside R. Nedunchezhian, 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 R. Nedunchezhian Line = papers co-authored together R. Nedunchezhian links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20244
2 20231
3 20221
4
Efficient adaptive frequent pattern mining techniques for market analysis in sequential and parallel systems.
20170
5 20165
6 20162
7
A Greedy Approach for Coverage-Based Test Suite Reduction
201510
8 20154
9
Analyzing the Point Multiplication Operation of Elliptic Curve Cryptosystem over Prime Field for Parallel Processing
20146
10
IAPI QUAD-FILTER: AN INTERACTIVE AND ADAPTIVE PARTITIONED APPROACH FOR INCREMENTAL FREQUENT PATTERN MINING
20142
11 20130
12
An Intelligent Genetic Algorithm for Mining Classification Rules in Large Datasets
201310
13 201238
14 201147
15 201148
16 201119
17 20115
18 20105
19 201022
20 20061

About R. Nedunchezhian

R. Nedunchezhian is a scholar working on Information Systems, Artificial Intelligence and Software, having authored 41 papers that have together received 400 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (11 papers), Rough Sets and Fuzzy Logic (7 papers), Imbalanced Data Classification Techniques (6 papers), Video Analysis and Summarization (3 papers), Data Management and Algorithms (3 papers), ECG Monitoring and Analysis (3 papers), Software Engineering Research (2 papers) and Cryptography and Residue Arithmetic (2 papers). The work is most often cited by research in Hardware and Architecture (49 citations), Information Systems (132 citations) and Computer Networks and Communications (130 citations). R. Nedunchezhian has collaborated with scholars based in India, Nepal and United Kingdom. Frequent co-authors include M. Rajalakshmi, P. Vivekanandan, B. Venkateswara Rao, G. V. Nagesh Kumar, Kenny C. Otiaba, V. Ramanarayanan, Sabuj Mallik, V. Vijayakumar, N Lakshminarasamma and Dinesh Goyal. Their work appears in journals such as Indian Journal of Science and Technology, Journal of Network and Computer Applications, International Journal of Multimedia Information Retrieval, Artificial Intelligence Review and International Journal of Adaptive Control and Signal Processing.

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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