R. Jayashree

597 citations
79 papers · 408 · h-index 11

Impact in

Papers in

R. Jayashree

71 papers receiving 376 citations

Peers

R. Jayashree
Comparison fields: 5 of 110
  • Artificial Intelligence 149
  • Health Information Management 18
  • Insect Science 46
  • Signal Processing 32
  • Information Systems 61
Replace S. Hemalatha with:
S. Hemalatha India
Harshal Patil India
Ponuswamy Suresh India
Kanagaraj Sangeetha India
Meenakshi Malik India
Corey J. Sanders United States
Kutubuddin Sayyad Liyakat Kazi India
S B Güney Türkiye
Asaduzzaman Asaduzzaman Bangladesh
B P Pradeep Kumar India
R. Jayashree relative to S. Hemalatha India S. Hemalatha's profile →
Citations per field
00.5×5×10×15.3×
S. Hemalatha · 1×
Citations per year

Countries citing papers authored by R. Jayashree

Since Specialization
Citations

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

Fields of papers citing papers by R. Jayashree

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside R. Jayashree, 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. Jayashree Line = papers co-authored together R. Jayashree links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202035
2 200927
3 201326
4 202226
5 201120
6 202419
7 202216
8 201215
9 201514
10
Antioxidant and wound healing studies on different extracts of Stereospermum colais leaf
201011
11 202011
12 201110
13 20248
14 20188
15 20207
16 20167
17 20237
18 20186
19 20136
20 20176

About R. Jayashree

R. Jayashree is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Health Information Management, Information Systems and Signal Processing, having authored 79 papers that have together received 408 indexed citations. Recurring topics across this work include Advanced Text Analysis Techniques (16 papers), Text and Document Classification Technologies (8 papers), Topic Modeling (6 papers), Emotion and Mood Recognition (6 papers), Sentiment Analysis and Opinion Mining (5 papers), Artificial Intelligence in Healthcare (5 papers), Entomopathogenic Microorganisms in Pest Control (4 papers) and Spam and Phishing Detection (4 papers). The work is most often cited by research in Artificial Intelligence (149 citations), Health Information Management (18 citations), Insect Science (46 citations), Signal Processing (32 citations) and Information Systems (61 citations). R. Jayashree has collaborated with scholars based in India, Israel and United States. Frequent co-authors include Basavaraj S. Anami, Kavi Mahesh, A. Christy, Krishna Kumar Pandey, Dana Ment, I. Glazer, Ahmed Nasser, Hongasandra Ramarao Nagendra, Raghuram Nagarathna and A Malini. Their work appears in journals such as BioResources, International Biodeterioration & Biodegradation, ACS Omega, Scientific Reports and Journal of Agricultural and Food Chemistry.

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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