G. Deepti Raj
- Artificial Intelligence top 10%
- Health Informatics top 5%
- Computer Vision and Pattern Recognition
- Information Systems
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- B. PrabadeviRutvij H. JhaveriPraveen Kumar Reddy MaddikuntaThippa Reddy GadekalluGokul YenduriWeizheng WangY. SupriyaM. Ramalingam
- Topics
- Advanced Neural Network Applications (6 papers)Industrial Vision Systems and Defect Detection (4 papers)Artificial Intelligence in Healthcare and Education (3 papers)
- Journals
- IEEE AccessHeliyonGAZI UNIVERSITY JOURNAL OF SCIENCE
In The Last Decade
G. Deepti Raj
8 papers receiving 252 citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Artificial Intelligence 121
- Health Informatics 41
- Computer Vision and Pattern Recognition 23
- Information Systems 21
- Radiology, Nuclear Medicine and Imaging 18
Countries citing papers authored by G. Deepti Raj
This map shows the geographic impact of G. Deepti Raj'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 G. Deepti Raj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Deepti Raj more than expected).
Fields of papers citing papers by G. Deepti Raj
This network shows the impact of papers produced by G. Deepti Raj. 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 G. Deepti Raj. The network helps show where G. Deepti Raj may publish in the future.
Co-authorship network of co-authors of G. Deepti Raj
This figure shows the co-authorship network connecting the top 25 collaborators of G. Deepti Raj. A scholar is included among the top collaborators of G. Deepti Raj 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 G. Deepti Raj. G. Deepti Raj is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | GPT (Generative Pre-Trained Transformer)— A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directionsbreakdown → | 215 |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 10 | |
| 9 | 31 | |
| 10 | 3 |
About G. Deepti Raj
G. Deepti Raj is a scholar working on Health Informatics, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition, having authored 10 papers that have together received 269 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (6 papers), Industrial Vision Systems and Defect Detection (4 papers) and Artificial Intelligence in Healthcare and Education (3 papers). The work is most often cited by research in Health Informatics (41 citations), Artificial Intelligence (121 citations) and Computer Science Applications (13 citations). G. Deepti Raj has collaborated with scholars based in India, Lebanon and Canada. Frequent co-authors include B. Prabadevi, Rutvij H. Jhaveri, Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu, Gokul Yenduri, Weizheng Wang, Y. Supriya, M. Ramalingam, Gautam Srivastava and Athanasios V. Vasilakos. Their work appears in journals such as IEEE Access, Heliyon and GAZI UNIVERSITY JOURNAL OF SCIENCE.
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.