Isha Kansal
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Radiology, Nuclear Medicine and Imaging
- Media Technology top 10%
- Co-authors
- Singara Singh KasanaRupendra Kumar PachauriNitin GoyalVikas KhullarRajeev KumarHassan Haes AlhelouThanikanti Sudhakar BabuSachin Kumar
- Topics
- Image Enhancement Techniques (9 papers)Advanced Image Processing Techniques (7 papers)Advanced Image Fusion Techniques (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyRenewable Energy, Sustainability and the Environment
- Journals
- Scientific ReportsIEEE AccessSensors
- Partner nations
- IndiaChinaSaudi Arabia
In The Last Decade
Isha Kansal
31 papers receiving 292 citations
Peers
Comparison fields: 5 of 57
- Computer Vision and Pattern Recognition 102
- Electrical and Electronic Engineering 81
- Artificial Intelligence 78
- Radiology, Nuclear Medicine and Imaging 45
- Media Technology 43
Countries citing papers authored by Isha Kansal
This map shows the geographic impact of Isha Kansal'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 Isha Kansal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isha Kansal more than expected).
Fields of papers citing papers by Isha Kansal
This network shows the impact of papers produced by Isha Kansal. 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 Isha Kansal. The network helps show where Isha Kansal may publish in the future.
Co-authorship network of co-authors of Isha Kansal
This figure shows the co-authorship network connecting the top 25 collaborators of Isha Kansal. A scholar is included among the top collaborators of Isha Kansal 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 Isha Kansal. Isha Kansal 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 | 0 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 6 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 10 | |
| 12 | 12 | |
| 13 | 4 | |
| 14 | 4 | |
| 15 | 0 | |
| 16 | 36 | |
| 17 | 1 | |
| 18 | 6 | |
| 19 | 2 | |
| 20 | 5 |
About Isha Kansal
Isha Kansal is a scholar working on Computer Vision and Pattern Recognition, Health Informatics and Media Technology, having authored 39 papers that have together received 309 indexed citations. Recurring topics across this work include Image Enhancement Techniques (9 papers), Advanced Image Processing Techniques (7 papers) and Advanced Image Fusion Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (102 citations), Media Technology (43 citations) and Renewable Energy, Sustainability and the Environment (40 citations). Isha Kansal has collaborated with scholars based in India, China and Saudi Arabia. Frequent co-authors include Singara Singh Kasana, Rupendra Kumar Pachauri, Nitin Goyal, Vikas Khullar, Rajeev Kumar, Hassan Haes Alhelou, Thanikanti Sudhakar Babu, Sachin Kumar, Kuljeet Singh and Sourabh Shastri. Their work appears in journals such as Scientific Reports, IEEE Access and Sensors.
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.