Abhinav Juneja
- Artificial Intelligence
- Information Systems
- Computer Vision and Pattern Recognition
- Computer Networks and Communications
- Health Information Management top 10%
- Co-authors
- Sapna JunejaSandeep KautishGaurav DhimanVikram BaliRohit AnandVivek KumarShashank JainHamza Turabieh
- Topics
- Artificial Intelligence in Healthcare (3 papers)Green IT and Sustainability (2 papers)Imbalanced Data Classification Techniques (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaComputational Intelligence and NeuroscienceMathematical Problems in Engineering
- Partner nations
- IndiaSaudi ArabiaLebanon
In The Last Decade
Abhinav Juneja
20 papers receiving 206 citations
Peers
Comparison fields: 5 of 84
- Artificial Intelligence 61
- Information Systems 35
- Computer Vision and Pattern Recognition 35
- Computer Networks and Communications 29
- Health Information Management 26
Countries citing papers authored by Abhinav Juneja
This map shows the geographic impact of Abhinav Juneja'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 Abhinav Juneja with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhinav Juneja more than expected).
Fields of papers citing papers by Abhinav Juneja
This network shows the impact of papers produced by Abhinav Juneja. 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 Abhinav Juneja. The network helps show where Abhinav Juneja may publish in the future.
Co-authorship network of co-authors of Abhinav Juneja
This figure shows the co-authorship network connecting the top 25 collaborators of Abhinav Juneja. A scholar is included among the top collaborators of Abhinav Juneja 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 Abhinav Juneja. Abhinav Juneja is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 7 | |
| 6 | 12 | |
| 7 | 7 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 27 | |
| 11 | 21 | |
| 12 | 18 | |
| 13 | 16 | |
| 14 | 3 | |
| 15 | 24 | |
| 16 | 2 | |
| 17 | 18 | |
| 18 | 2 | |
| 19 | 20 | |
| 20 | 2 |
About Abhinav Juneja
Abhinav Juneja is a scholar working on Health Information Management, Software and Media Technology, having authored 23 papers that have together received 225 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (3 papers), Green IT and Sustainability (2 papers) and Imbalanced Data Classification Techniques (2 papers). The work is most often cited by research in Health Information Management (26 citations), Neurology (18 citations) and Artificial Intelligence (61 citations). Abhinav Juneja has collaborated with scholars based in India, Saudi Arabia and Lebanon. Frequent co-authors include Sapna Juneja, Sandeep Kautish, Gaurav Dhiman, Vikram Bali, Rohit Anand, Vivek Kumar, Shashank Jain, Hamza Turabieh, Deepali Gupta and Vishal Jain. Their work appears in journals such as SHILAP Revista de lepidopterología, Computational Intelligence and Neuroscience and Mathematical Problems in Engineering.
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.