H. K. Ramapriyan
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- Scientific Computing and Data Management 13
- Big Data Technologies and Applications 13
- Information Systems top 10%
- Research Data Management Practices 13
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- Data Quality and Management 11
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- Distributed and Parallel Computing Systems 15
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- Advanced Computational Techniques and Applications 15
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- Geographic Information Systems Studies 9
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- Geological Modeling and Analysis 7
- Cited by
- Information Systems and ManagementEcological ModelingComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Automatic Control (2 papers)IEEE Transactions on Geoscience and Remote Sensing (3 papers)IEEE Transactions on Computers (4 papers)
- Partner nations
- United StatesIndiaAustralia
In The Last Decade
H. K. Ramapriyan
57 papers receiving 385 citations
Peers
Comparison fields: 5 of 86
- Information Systems and Management 85
- Ecological Modeling 23
- Computer Vision and Pattern Recognition 93
- Information Systems 90
- Management Science and Operations Research 46
Countries citing papers authored by H. K. Ramapriyan
This map shows the geographic impact of H. K. Ramapriyan'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 H. K. Ramapriyan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. K. Ramapriyan more than expected).
Fields of papers citing papers by H. K. Ramapriyan
This network shows the impact of papers produced by H. K. Ramapriyan. 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 H. K. Ramapriyan. The network helps show where H. K. Ramapriyan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside H. K. Ramapriyan, 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 | 2022 | 14 | |
| 2 | 2021 | 1 | |
| 3 | NASA's Earth Observing System Data and Information System (EOSDIS) and FAIR - A Self-Assessment | 2020 | 1 |
| 4 | 2019 | 2 | |
| 5 | 2017 | 5 | |
| 6 | 2017 | 1 | |
| 7 | Improving Information Quality for Earth Science Data and Products - An Overview | 2015 | 1 |
| 8 | Evolution of Archival Storage (from Tape to Memory) | 2015 | 1 |
| 9 | 2013 | 29 | |
| 10 | 2009 | 3 | |
| 11 | 2006 | 7 | |
| 12 | 2006 | 1 | |
| 13 | 1995 | 12 | |
| 14 | Version 0 EOSDIS - An overview | 1991 | 5 |
| 15 | 1991 | 0 | |
| 16 | Applications of array processors in the analysis of remote sensing images | 1984 | 1 |
| 17 | Use of textural features in the analysis of landsat images. | 1978 | 1 |
| 18 | 1975 | 8 | |
| 19 | 1973 | 15 | |
| 20 | Spatial frequency analysis of multispectral data. | 1972 | 2 |
About H. K. Ramapriyan
H. K. Ramapriyan is a scholar working on Information Systems and Management, Geography, Planning and Development and Geochemistry and Petrology, having authored 64 papers that have together received 415 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (15 papers), Advanced Computational Techniques and Applications (15 papers), Scientific Computing and Data Management (13 papers), Research Data Management Practices (13 papers), Big Data Technologies and Applications (13 papers), Data Quality and Management (11 papers), Geographic Information Systems Studies (9 papers) and Geological Modeling and Analysis (7 papers). The work is most often cited by research in Information Systems and Management (85 citations), Ecological Modeling (23 citations) and Computer Vision and Pattern Recognition (93 citations). H. K. Ramapriyan has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Robert R. Downs, Ge Peng, M.A.L. Thathachar, M Srinath, Peng Yue, Liping Di, F. Bailey, Roger L. King, Yaxing Wei and Ghassem Asrar. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Computers.
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.