Meena Nagarajan
- Artificial Intelligence top 10%
- Food Science top 10%
- Molecular Biology
- Nutrition and Dietetics
- Information Systems top 10%
- Co-authors
- Michael GamonJoseph FeldmanBenjamin KissinRama Chandra PradhanKambhampati VivekSabyasachi MishraN.A. Nanje GowdaSingam Suranjoy Singh
- Topics
- IoT-based Smart Home Systems (4 papers)Energy Efficient Wireless Sensor Networks (4 papers)Network Security and Intrusion Detection (3 papers)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Meena Nagarajan
18 papers receiving 471 citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Artificial Intelligence 148
- Food Science 100
- Molecular Biology 86
- Nutrition and Dietetics 59
- Information Systems 56
Countries citing papers authored by Meena Nagarajan
This map shows the geographic impact of Meena Nagarajan'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 Meena Nagarajan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meena Nagarajan more than expected).
Fields of papers citing papers by Meena Nagarajan
This network shows the impact of papers produced by Meena Nagarajan. 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 Meena Nagarajan. The network helps show where Meena Nagarajan may publish in the future.
Co-authorship network of co-authors of Meena Nagarajan
This figure shows the co-authorship network connecting the top 25 collaborators of Meena Nagarajan. A scholar is included among the top collaborators of Meena Nagarajan 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 Meena Nagarajan. Meena Nagarajan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | A comprehensive review on microencapsulation of probiotics: technology, carriers and current trendsbreakdown → | 111 |
| 7 | 28 | |
| 8 | 2 | |
| 9 | 0 | |
| 10 | 3 | |
| 11 | WSN Life Time Enhancement using Fuzzy Clustering and Intrusion Recognition with EAS | 1 |
| 12 | 77 | |
| 13 | Highly Secured WSN Life Span Fortification with Data Compression, NNF Technique and ECC Method | 1 |
| 14 | A CRM system for Social Media | 3 |
| 15 | 12 | |
| 16 | 14 | |
| 17 | Proceedings of the Workshop on Languages in Social Media | 102 |
| 18 | 15 | |
| 19 | 13 | |
| 20 | 77 |
About Meena Nagarajan
Meena Nagarajan is a scholar working on Computer Networks and Communications, Complementary and alternative medicine and Otorhinolaryngology, having authored 24 papers that have together received 501 indexed citations. Recurring topics across this work include IoT-based Smart Home Systems (4 papers), Energy Efficient Wireless Sensor Networks (4 papers) and Network Security and Intrusion Detection (3 papers). The work is most often cited by research in Otorhinolaryngology (30 citations), Food Science (100 citations) and Artificial Intelligence (148 citations). Meena Nagarajan has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Michael Gamon, Joseph Feldman, Benjamin Kissin, Rama Chandra Pradhan, Kambhampati Vivek, Sabyasachi Mishra, N.A. Nanje Gowda, Singam Suranjoy Singh, Amit Sheth and S. Karthikeyan. Their work appears in journals such as Preventive Medicine, Journal of Food Science and Knowledge-Based Systems.
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.