Rajneesh Rani
- Computer Vision and Pattern Recognition top 2%
- Media Technology top 5%
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Human-Computer Interaction top 10%
- Co-authors
- Renu DhirSamayveer SinghAditya NigamGurjinder KaurRajeev KumarGurpreet Singh LehalNonita SharmaMahesh Jangid
- Topics
- Handwritten Text Recognition Techniques (23 papers)Vehicle License Plate Recognition (18 papers)Advanced Steganography and Watermarking Techniques (12 papers)
- Journals
- Artificial Intelligence ReviewMultimedia Tools and ApplicationsArchives of Computational Methods in Engineering
- Partner nations
- IndiaSaudi ArabiaSouth Korea
In The Last Decade
Rajneesh Rani
62 papers receiving 475 citations
Peers
Comparison fields: 5 of 76
- Computer Vision and Pattern Recognition 368
- Media Technology 131
- Artificial Intelligence 109
- Signal Processing 58
- Human-Computer Interaction 38
Countries citing papers authored by Rajneesh Rani
This map shows the geographic impact of Rajneesh Rani'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 Rajneesh Rani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajneesh Rani more than expected).
Fields of papers citing papers by Rajneesh Rani
This network shows the impact of papers produced by Rajneesh Rani. 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 Rajneesh Rani. The network helps show where Rajneesh Rani may publish in the future.
Co-authorship network of co-authors of Rajneesh Rani
This figure shows the co-authorship network connecting the top 25 collaborators of Rajneesh Rani. A scholar is included among the top collaborators of Rajneesh Rani 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 Rajneesh Rani. Rajneesh Rani 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 | 9 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 10 | |
| 10 | 21 | |
| 11 | 14 | |
| 12 | 10 | |
| 13 | 2 | |
| 14 | 2 | |
| 15 | 18 | |
| 16 | 15 | |
| 17 | 6 | |
| 18 | 4 | |
| 19 | 3 | |
| 20 | 7 |
About Rajneesh Rani
Rajneesh Rani is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Human-Computer Interaction, having authored 73 papers that have together received 519 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (23 papers), Vehicle License Plate Recognition (18 papers) and Advanced Steganography and Watermarking Techniques (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (368 citations), Media Technology (131 citations) and Human-Computer Interaction (38 citations). Rajneesh Rani has collaborated with scholars based in India, Saudi Arabia and South Korea. Frequent co-authors include Renu Dhir, Samayveer Singh, Aditya Nigam, Gurjinder Kaur, Rajeev Kumar, Gurpreet Singh Lehal, Nonita Sharma, Mahesh Jangid, Monika Mangla and Deepti Kakkar. Their work appears in journals such as Artificial Intelligence Review, Multimedia Tools and Applications and Archives of Computational Methods 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.