Sachin Dhawan
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications
- Artificial Intelligence
- Information Systems
- Signal Processing
- Co-authors
- Rashmi GuptaArun Kumar RanaSubhendu Kumar PaniChinmay ChakrabortyJaroslav FrndaSharad SharmaK. R. AnejaSangeeta Gupta
- Topics
- Advanced Steganography and Watermarking Techniques (6 papers)Allelopathy and phytotoxic interactions (5 papers)Medicinal Plants and Neuroprotection (3 papers)
- Partner nations
- IndiaMalaysiaSouth Korea
In The Last Decade
Sachin Dhawan
15 papers receiving 210 citations
Peers
Comparison fields: 5 of 68
- Computer Vision and Pattern Recognition 128
- Computer Networks and Communications 51
- Artificial Intelligence 37
- Information Systems 35
- Signal Processing 31
Countries citing papers authored by Sachin Dhawan
This map shows the geographic impact of Sachin Dhawan'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 Sachin Dhawan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sachin Dhawan more than expected).
Fields of papers citing papers by Sachin Dhawan
This network shows the impact of papers produced by Sachin Dhawan. 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 Sachin Dhawan. The network helps show where Sachin Dhawan may publish in the future.
Co-authorship network of co-authors of Sachin Dhawan
This figure shows the co-authorship network connecting the top 25 collaborators of Sachin Dhawan. A scholar is included among the top collaborators of Sachin Dhawan 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 Sachin Dhawan. Sachin Dhawan 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 | 16 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 22 | |
| 7 | 42 | |
| 8 | 1 | |
| 9 | 53 | |
| 10 | A Review of Image Compression and Comparison of its Algorithms | 61 |
| 11 | Allelopathic potential of leguminous plant species towards Parthenium hysterophorus L. (1)-effect of aqueous foliar leachates | 1 |
| 12 | Allelopathic potential of leguminous plant species towards Parthenium hysterophorus L. | 4 |
| 13 | Allelopathic potential of various leachate combinations towards SG and ESG of Parthenium hysterophorus Linn | 7 |
| 14 | The Parthenium menace and its management - an overview. | 3 |
| 15 | Biocontrol of congress grass: studies on seed germination. | 3 |
| 16 | Deadly weed, parthenium hysterophorus l-and its distribution | 15 |
About Sachin Dhawan
Sachin Dhawan is a scholar working on Complementary and alternative medicine, Computer Vision and Pattern Recognition and Plant Science, having authored 16 papers that have together received 236 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (6 papers), Allelopathy and phytotoxic interactions (5 papers) and Medicinal Plants and Neuroprotection (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (128 citations), Signal Processing (31 citations) and Media Technology (22 citations). Sachin Dhawan has collaborated with scholars based in India, Malaysia and South Korea. Frequent co-authors include Rashmi Gupta, Arun Kumar Rana, Subhendu Kumar Pani, Chinmay Chakraborty, Jaroslav Frnda, Sharad Sharma, K. R. Aneja, Sangeeta Gupta, Poonam Dhawan and Imran Ashraf. Their work appears in journals such as IEEE Access, Applied Sciences and Concurrency and Computation Practice and Experience.
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.