Hema Chandrasekaran
- Instrumentation top 5%
- Astronomy and Astrophysical Research 10
- Astronomy and Astrophysics top 5%
- Stellar, planetary, and galactic studies 13
- Astro and Planetary Science 6
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- Blind Source Separation Techniques 5
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- Neural Networks and Applications 6
- Machine Learning and ELM 3
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- Image and Signal Denoising Methods 3
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- CCD and CMOS Imaging Sensors 3
Hema Chandrasekaran
26 papers receiving 378 citations
Peers
Comparison fields: 5 of 55
- Instrumentation 124
- Astronomy and Astrophysics 294
- Signal Processing 32
- Artificial Intelligence 57
- Computer Vision and Pattern Recognition 32
Countries citing papers authored by Hema Chandrasekaran
This map shows the geographic impact of Hema Chandrasekaran'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 Hema Chandrasekaran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hema Chandrasekaran more than expected).
Fields of papers citing papers by Hema Chandrasekaran
This network shows the impact of papers produced by Hema Chandrasekaran. 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 Hema Chandrasekaran. The network helps show where Hema Chandrasekaran may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hema Chandrasekaran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 2 | |
| 2 | Kepler Data Processing Handbook: Target and Aperture Definitions: Selecting Pixels for Kepler Downlink | 2017 | 1 |
| 3 | 2016 | 4 | |
| 4 | 2010 | 57 | |
| 5 | 2010 | 69 | |
| 6 | 2010 | 5 | |
| 7 | 2010 | 10 | |
| 8 | 2010 | 21 | |
| 9 | 2010 | 5 | |
| 10 | 2010 | 21 | |
| 11 | 2010 | 16 | |
| 12 | 2010 | 51 | |
| 13 | 2010 | 32 | |
| 14 | Detecting Multiple Transiting Planets with the Kepler Mission | 2007 | 1 |
| 15 | Optimization of the Kepler Field of View | 2006 | 1 |
| 16 | 2006 | 7 | |
| 17 | 2005 | 1 | |
| 18 | 2003 | 7 | |
| 19 | 2003 | 3 | |
| 20 | 2000 | 9 |
About Hema Chandrasekaran
Hema Chandrasekaran is a scholar working on Instrumentation, Astronomy and Astrophysics and Signal Processing, having authored 26 papers that have together received 399 indexed citations. Recurring topics across this work include Stellar, planetary, and galactic studies (13 papers), Astronomy and Astrophysical Research (10 papers), Neural Networks and Applications (6 papers), Astro and Planetary Science (6 papers), Blind Source Separation Techniques (5 papers), Image and Signal Denoising Methods (3 papers), CCD and CMOS Imaging Sensors (3 papers) and Machine Learning and ELM (3 papers). The work is most often cited by research in Instrumentation (124 citations), Astronomy and Astrophysics (294 citations) and Signal Processing (32 citations). Hema Chandrasekaran has collaborated with scholars based in United States and France. Frequent co-authors include Jon M. Jenkins, M.T. Manry, Todd C. Klaus, Douglas A. Caldwell, Joseph D. Twicken, Peter Tenenbaum, Miles T. Cote, Sean McCauliff, Forrest R. Girouard and Steve Bryson. Their work appears in journals such as Neurocomputing, Nuclear Science and Engineering, The Astrophysical Journal Letters, Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
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.