Rajesh Natarajan
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Health Information Management top 2%
- Information Systems top 10%
- Electrical and Electronic Engineering
- Co-authors
- Francesco FlamminiH L GururajShashi Kant GuptaHari KrishnaV. Vinoth KumarOsamah Ibrahim KhalafT R MaheshVinoth Kumar Venkatesan
- Topics
- Artificial Intelligence in Healthcare (7 papers)Privacy-Preserving Technologies in Data (5 papers)IoT and Edge/Fog Computing (4 papers)
- Cited by
- Health Information ManagementMedical Laboratory TechnologyComputer Networks and Communications
- Journals
- IEEE AccessSensorsSustainability
- Partner nations
- IndiaOmanSwitzerland
In The Last Decade
Rajesh Natarajan
37 papers receiving 440 citations
Peers
Comparison fields: 5 of 94
- Computer Networks and Communications 126
- Artificial Intelligence 124
- Health Information Management 103
- Information Systems 88
- Electrical and Electronic Engineering 55
Countries citing papers authored by Rajesh Natarajan
This map shows the geographic impact of Rajesh Natarajan'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 Rajesh Natarajan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajesh Natarajan more than expected).
Fields of papers citing papers by Rajesh Natarajan
This network shows the impact of papers produced by Rajesh Natarajan. 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 Rajesh Natarajan. The network helps show where Rajesh Natarajan may publish in the future.
Co-authorship network of co-authors of Rajesh Natarajan
This figure shows the co-authorship network connecting the top 25 collaborators of Rajesh Natarajan. A scholar is included among the top collaborators of Rajesh Natarajan 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 Rajesh Natarajan. Rajesh Natarajan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 45 | |
| 8 | 15 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 24 | |
| 15 | 37 | |
| 16 | 11 | |
| 17 | 5 | |
| 18 | Static Analysis of a Primary Suspension Spring Used in Locomotive | 5 |
| 19 | Determination of Optimum Influential Parameters in Turning of Al6061 Using Fuzzy Logic | 3 |
| 20 | 11 |
About Rajesh Natarajan
Rajesh Natarajan is a scholar working on Health Information Management, Health Informatics and Computer Networks and Communications, having authored 39 papers that have together received 491 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (7 papers), Privacy-Preserving Technologies in Data (5 papers) and IoT and Edge/Fog Computing (4 papers). The work is most often cited by research in Health Information Management (103 citations), Medical Laboratory Technology (12 citations) and Computer Networks and Communications (126 citations). Rajesh Natarajan has collaborated with scholars based in India, Oman and Switzerland. Frequent co-authors include Francesco Flammini, H L Gururaj, Shashi Kant Gupta, Hari Krishna, V. Vinoth Kumar, Osamah Ibrahim Khalaf, T R Mahesh, Vinoth Kumar Venkatesan, Youseef Alotaibi and V. Muthukumaran. Their work appears in journals such as IEEE Access, Sensors and Sustainability.
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.