G. S. D. Babu
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Astronomy and Astrophysics top 10%
- Cognitive Neuroscience
- Electrical and Electronic Engineering
- Co-authors
- Suresh SundaramK. R. SivaramanVijay ChandrasekharLiyuan LiJoo‐Hwee LimPhyo Phyo SanNgai‐Man CheungSibo Song
- Topics
- Stellar, planetary, and galactic studies (16 papers)Astronomy and Astrophysical Research (12 papers)Neural Networks and Applications (6 papers)
In The Last Decade
G. S. D. Babu
36 papers receiving 549 citations
Peers
Comparison fields: 5 of 89
- Artificial Intelligence 278
- Computer Vision and Pattern Recognition 119
- Astronomy and Astrophysics 87
- Cognitive Neuroscience 84
- Electrical and Electronic Engineering 50
Countries citing papers authored by G. S. D. Babu
This map shows the geographic impact of G. S. D. Babu'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. S. D. Babu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. S. D. Babu more than expected).
Fields of papers citing papers by G. S. D. Babu
This network shows the impact of papers produced by G. S. D. Babu. 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. S. D. Babu. The network helps show where G. S. D. Babu may publish in the future.
Co-authorship network of co-authors of G. S. D. Babu
This figure shows the co-authorship network connecting the top 25 collaborators of G. S. D. Babu. A scholar is included among the top collaborators of G. S. D. Babu 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. S. D. Babu. G. S. D. Babu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 9 | |
| 3 | 15 | |
| 4 | 63 | |
| 5 | 93 | |
| 6 | Mass function of open clusters NGC 1857 and Czernik 25 | 1 |
| 7 | UBVRI CCD photometric studies of open clusters Berkeley 15, Czernik 18 and NGC 2401. | 3 |
| 8 | Study of open cluster NGC 2509. | 2 |
| 9 | Atmospheric extinction measurements at Leh in near infrared bands | 1 |
| 10 | 1 | |
| 11 | Narrow band photometry of Comet Halley in the emission bands and the continuum | 1 |
| 12 | Polarimetric observations of comet P/Halley on 19 March 1986 | 2 |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 7 | |
| 16 | 7 | |
| 17 | 14 | |
| 18 | 4 | |
| 19 | On magnetic stars. | 1 |
| 20 | Effective temperatures of some magnetic stars | 4 |
About G. S. D. Babu
G. S. D. Babu is a scholar working on Instrumentation, Astronomy and Astrophysics and Neurology, having authored 37 papers that have together received 579 indexed citations. Recurring topics across this work include Stellar, planetary, and galactic studies (16 papers), Astronomy and Astrophysical Research (12 papers) and Neural Networks and Applications (6 papers). The work is most often cited by research in Artificial Intelligence (278 citations), Instrumentation (26 citations) and Computer Vision and Pattern Recognition (119 citations). G. S. D. Babu has collaborated with scholars based in India and Singapore. Frequent co-authors include Suresh Sundaram, K. R. Sivaraman, Vijay Chandrasekhar, Liyuan Li, Joo‐Hwee Lim, Phyo Phyo San, Ngai‐Man Cheung, Sibo Song, Bappaditya Mandal and M. Parthasarathy. Their work appears in journals such as Monthly Notices of the Royal Astronomical Society, Expert Systems with Applications and IEEE Transactions on Neural Networks and Learning Systems.
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.