R. Janani

545 total citations
17 papers, 342 citations indexed

About

R. Janani is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, R. Janani has authored 17 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in R. Janani's work include Text and Document Classification Technologies (4 papers), Spectroscopy and Chemometric Analyses (2 papers) and Imbalanced Data Classification Techniques (2 papers). R. Janani is often cited by papers focused on Text and Document Classification Technologies (4 papers), Spectroscopy and Chemometric Analyses (2 papers) and Imbalanced Data Classification Techniques (2 papers). R. Janani collaborates with scholars based in India and China. R. Janani's co-authors include S. Vijayarani, A. Gopal, S. Venkatasubramanian, P. Muthukumaran, C. Deisy, N. Rajeswari, Amolkumar U. Solanke, Amish Kumar Sureja, Rakesh Bhardwaj and Shalini Gaur Rudra and has published in prestigious journals such as Expert Systems with Applications, Plant Molecular Biology Reporter and Indian Journal of Science and Technology.

In The Last Decade

R. Janani

14 papers receiving 311 citations

Peers

R. Janani
Comparison fields: 5 of 90
  • Artificial Intelligence 184
  • Information Systems 66
  • Computer Vision and Pattern Recognition 50
  • Plant Science 47
  • Analytical Chemistry 29
Replace Shah Khalid with:
Shah Khalid Pakistan
Astri Novianty Indonesia
Mohammed Nazim Uddin Bangladesh
Vishan Kumar Gupta India
Rajesh Prasad India
Luiz F.S. Coletta Brazil
M. Suresha India
Nghia Duong‐Trung Vietnam
Mohamed Doheir Malaysia
Ajib Susanto Indonesia
Shah Khalid Pakistan View profile →
Citations per field, relative to R. Janani
R. Janani · 1×
Citations per year, relative to R. Janani
R. Janani · 1×

Countries citing papers authored by R. Janani

Since Specialization
Citations

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

Fields of papers citing papers by R. Janani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Janani

This figure shows the co-authorship network connecting the top 25 collaborators of R. Janani. A scholar is included among the top collaborators of R. Janani 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 R. Janani. R. Janani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 5
5 15
6 126
7 2
8 4
9
Singer voice Recognition using MFCC,GMM and Neural network
1
10 125
11 6
12 1
13 1
14
An Improved CBIR Method Using Color andTexture Properties with Relevance Feedback
3
15
Isolation and Characterization of Lead (Pd) Resistant Staphylococcus aureus from Tannery Effluent Contaminated Site
2
16 50
17 1

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026