Anurag Sharma
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Information Systems
- Computer Vision and Pattern Recognition
- Computer Networks and Communications
- Co-authors
- Rohitash ChandraKhalid AbidiChristian W. OmlinNoori KimRajiv R. P. SinghDinesh KumarKavitesh Kumar BaliGurpreet Singh Chhabra
- Topics
- Metaheuristic Optimization Algorithms Research (4 papers)Educational Technology and Assessment (3 papers)Machine Learning and Algorithms (2 papers)
In The Last Decade
Anurag Sharma
31 papers receiving 298 citations
Peers
Comparison fields: 5 of 97
- Artificial Intelligence 149
- Electrical and Electronic Engineering 43
- Information Systems 41
- Computer Vision and Pattern Recognition 36
- Computer Networks and Communications 32
Countries citing papers authored by Anurag Sharma
This map shows the geographic impact of Anurag 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 Anurag Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anurag Sharma more than expected).
Fields of papers citing papers by Anurag Sharma
This network shows the impact of papers produced by Anurag 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 Anurag Sharma. The network helps show where Anurag Sharma may publish in the future.
Co-authorship network of co-authors of Anurag Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Anurag Sharma. A scholar is included among the top collaborators of Anurag 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 Anurag Sharma. Anurag 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 | 1 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 12 | |
| 7 | 12 | |
| 8 | 0 | |
| 9 | 6 | |
| 10 | YANG Data Model for requesting Path Computation | 1 |
| 11 | Non-image Data Classification with Convolutional Neural Networks | 6 |
| 12 | 4 | |
| 13 | 10 | |
| 14 | 4 | |
| 15 | 4 | |
| 16 | 1 | |
| 17 | E - Governance: A Successful Implementation of Government Policies using Cloud Computing | 10 |
| 18 | 6 | |
| 19 | 8 | |
| 20 | Hybrid particle swarm optimization and group method of data handling for inductive modeling | 3 |
About Anurag Sharma
Anurag Sharma is a scholar working on Artificial Intelligence, Computer Science Applications and Management Science and Operations Research, having authored 34 papers that have together received 312 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (4 papers), Educational Technology and Assessment (3 papers) and Machine Learning and Algorithms (2 papers). The work is most often cited by research in Health Information Management (23 citations), Artificial Intelligence (149 citations) and Information Systems (41 citations). Anurag Sharma has collaborated with scholars based in Fiji, India and Australia. Frequent co-authors include Rohitash Chandra, Khalid Abidi, Christian W. Omlin, Noori Kim, Rajiv R. P. Singh, Dinesh Kumar, Kavitesh Kumar Bali, Gurpreet Singh Chhabra, Ishwer Shivakoti and Abdullah Gharaibeh. Their work appears in journals such as Scientific Reports, IEEE Access and Information Sciences.
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.