Anju Sharma
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Co-authors
- Rajesh KumarSimar Preet SinghAnand NayyarSharad SaxenaPriyanka VashishtSeema BawaAshok KumarKirandeep Κaur
- Topics
- IoT and Edge/Fog Computing (15 papers)Cloud Computing and Resource Management (14 papers)Distributed and Parallel Computing Systems (11 papers)
- Cited by
- Computer Networks and CommunicationsInformation SystemsComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Industrial InformaticsComputers & Security
In The Last Decade
Anju Sharma
41 papers receiving 433 citations
Peers
Comparison fields: 5 of 64
- Computer Networks and Communications 373
- Information Systems 248
- Electrical and Electronic Engineering 82
- Computer Vision and Pattern Recognition 68
- Artificial Intelligence 55
Countries citing papers authored by Anju Sharma
This map shows the geographic impact of Anju Sharma'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 Anju Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anju Sharma more than expected).
Fields of papers citing papers by Anju Sharma
This network shows the impact of papers produced by Anju Sharma. 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 Anju Sharma. The network helps show where Anju Sharma may publish in the future.
Co-authorship network of co-authors of Anju Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Anju Sharma. A scholar is included among the top collaborators of Anju Sharma 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 Anju Sharma. Anju Sharma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 14 | |
| 4 | 2 | |
| 5 | 38 | |
| 6 | 10 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 8 | |
| 11 | An Emergency Message Dissemination Protocol Using Greedy Forwarding Technique and Clustering For Vanets | 1 |
| 12 | 12 | |
| 13 | 3 | |
| 14 | 12 | |
| 15 | Post-adoption Productivity Performance of Indian ESOP Company | 1 |
| 16 | 6 | |
| 17 | 1 | |
| 18 | 3 | |
| 19 | 18 | |
| 20 | Analysis of Cropping Pattern Changes in Punjab During 1965-66 to 1990-91 | 3 |
About Anju Sharma
Anju Sharma is a scholar working on Computer Networks and Communications, Information Systems and Health Informatics, having authored 44 papers that have together received 469 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (15 papers), Cloud Computing and Resource Management (14 papers) and Distributed and Parallel Computing Systems (11 papers). The work is most often cited by research in Computer Networks and Communications (373 citations), Information Systems (248 citations) and Computer Vision and Pattern Recognition (68 citations). Anju Sharma has collaborated with scholars based in India, Vietnam and Australia. Frequent co-authors include Rajesh Kumar, Simar Preet Singh, Anand Nayyar, Sharad Saxena, Priyanka Vashisht, Seema Bawa, Ashok Kumar, Kirandeep Κaur, Jemal Abawajy and Ravneet Kaur. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Informatics and Computers & Security.
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.