Deepika Koundal
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 1%
- Radiology, Nuclear Medicine and Imaging top 2%
- Computer Networks and Communications top 2%
- Media Technology top 1%
- Co-authors
- Bhisham SharmaSheifali GuptaVatsala AnandHarpreet KaurVirender KadyanSavita GuptaSukhwinder SinghKaramjeet Singh
- Topics
- AI in cancer detection (16 papers)Advanced Image Fusion Techniques (15 papers)Radiomics and Machine Learning in Medical Imaging (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsExpert Systems with Applications
- Partner nations
- IndiaSaudi ArabiaTürkiye
In The Last Decade
Deepika Koundal
110 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Artificial Intelligence 929
- Computer Vision and Pattern Recognition 748
- Radiology, Nuclear Medicine and Imaging 582
- Computer Networks and Communications 511
- Media Technology 408
Countries citing papers authored by Deepika Koundal
This map shows the geographic impact of Deepika Koundal'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 Deepika Koundal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepika Koundal more than expected).
Fields of papers citing papers by Deepika Koundal
This network shows the impact of papers produced by Deepika Koundal. 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 Deepika Koundal. The network helps show where Deepika Koundal may publish in the future.
Co-authorship network of co-authors of Deepika Koundal
This figure shows the co-authorship network connecting the top 25 collaborators of Deepika Koundal. A scholar is included among the top collaborators of Deepika Koundal 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 Deepika Koundal. Deepika Koundal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 12 | |
| 5 | 6 | |
| 6 | 33 | |
| 7 | 29 | |
| 8 | 5 | |
| 9 | 6 | |
| 10 | 47 | |
| 11 | 11 | |
| 12 | 24 | |
| 13 | 3 | |
| 14 | 112 | |
| 15 | 65 | |
| 16 | 44 | |
| 17 | 78 | |
| 18 | 5 | |
| 19 | 95 | |
| 20 | Comparative Analysis of Image Fusion Methods | 1 |
About Deepika Koundal
Deepika Koundal is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 114 papers that have together received 3.2k indexed citations. Recurring topics across this work include AI in cancer detection (16 papers), Advanced Image Fusion Techniques (15 papers) and Radiomics and Machine Learning in Medical Imaging (13 papers). The work is most often cited by research in Health Informatics (65 citations), Media Technology (408 citations) and Computer Vision and Pattern Recognition (748 citations). Deepika Koundal has collaborated with scholars based in India, Saudi Arabia and Türkiye. Frequent co-authors include Bhisham Sharma, Sheifali Gupta, Vatsala Anand, Harpreet Kaur, Virender Kadyan, Savita Gupta, Sukhwinder Singh, Karamjeet Singh, Atef Zaguia and Yanhui Guo. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.
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.