Hema Chandrasekaran
- Astronomy and Astrophysics top 5%
- Instrumentation top 5%
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Signal Processing
- Co-authors
- Jon M. JenkinsM.T. ManryTodd C. KlausDouglas A. CaldwellJoseph D. TwickenPeter TenenbaumMiles T. CoteSean McCauliff
- Topics
- Stellar, planetary, and galactic studies (13 papers)Astronomy and Astrophysical Research (10 papers)Neural Networks and Applications (6 papers)
- Partner nations
- United StatesFrance
In The Last Decade
Hema Chandrasekaran
26 papers receiving 378 citations
Peers
Comparison fields: 5 of 55
- Astronomy and Astrophysics 294
- Instrumentation 124
- Artificial Intelligence 57
- Computer Vision and Pattern Recognition 32
- Signal Processing 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 of co-authors of Hema Chandrasekaran
This figure shows the co-authorship network connecting the top 25 collaborators of Hema Chandrasekaran. A scholar is included among the top collaborators of Hema Chandrasekaran 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 Hema Chandrasekaran. Hema Chandrasekaran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Kepler Data Processing Handbook: Target and Aperture Definitions: Selecting Pixels for Kepler Downlink | 1 |
| 3 | 4 | |
| 4 | 57 | |
| 5 | 69 | |
| 6 | 5 | |
| 7 | 10 | |
| 8 | 21 | |
| 9 | 5 | |
| 10 | 21 | |
| 11 | 16 | |
| 12 | 51 | |
| 13 | 32 | |
| 14 | Detecting Multiple Transiting Planets with the Kepler Mission | 1 |
| 15 | Optimization of the Kepler Field of View | 1 |
| 16 | 7 | |
| 17 | 1 | |
| 18 | 7 | |
| 19 | 3 | |
| 20 | 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) and Neural Networks and Applications (6 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, The Astrophysical Journal Letters and Nuclear Science and 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.