Sara Graves
- Computer Networks and Communications top 10%
- Information Systems top 5%
- Artificial Intelligence top 10%
- Information Systems and Management top 5%
- Atmospheric Science
- Co-authors
- Rahul RamachandranThomas H. HinkeHeggere S. RanganathHong LinBeth PlaleU. S. NairSusan M. BridgesXiang Li
- Topics
- Scientific Computing and Data Management (15 papers)Advanced Computational Techniques and Applications (14 papers)Distributed and Parallel Computing Systems (8 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Geoscience and Remote SensingIEEE Transactions on Image Processing
- Partner nations
- United StatesCanadaSpain
In The Last Decade
Sara Graves
61 papers receiving 456 citations
Peers
Comparison fields: 5 of 82
- Computer Networks and Communications 132
- Information Systems 120
- Artificial Intelligence 117
- Information Systems and Management 104
- Atmospheric Science 76
Countries citing papers authored by Sara Graves
This map shows the geographic impact of Sara Graves'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 Sara Graves with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Graves more than expected).
Fields of papers citing papers by Sara Graves
This network shows the impact of papers produced by Sara Graves. 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 Sara Graves. The network helps show where Sara Graves may publish in the future.
Co-authorship network of co-authors of Sara Graves
This figure shows the co-authorship network connecting the top 25 collaborators of Sara Graves. A scholar is included among the top collaborators of Sara Graves 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 Sara Graves. Sara Graves is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | Exploring storm morphology, dynamics and lightning characteristics during the lifecycle of a multicell cluster in a field campaign using a 3D visualization tool | 1 |
| 4 | Using Cloud-Hosted Real-time Data Services for the Geosciences (CHORDS) in a range of geoscience applications | 2 |
| 5 | 22 | |
| 6 | 17 | |
| 7 | Key Provenance of Earth Science Observational Data Products | 1 |
| 8 | A Ten Year Record of Space Based Lightning Measurements | 2 |
| 9 | Spyglass: A System for Ontology Based Document Retrieval and Visualization. | 1 |
| 10 | SERVIR: A Regional Monitoring and Decision Support System for Mesoamerica | 1 |
| 11 | 2 | |
| 12 | Efficient Parallel Computation of Inverse Document Frequency Features for Text Mining. | 2 |
| 13 | Realizing NASA's Goal of Societal Benefits From Earth Observations in Mesoamerica Through the SERVIR Project | 1 |
| 14 | Noesis: Ontology based Scoped Search Engine and Resource Aggregator for Atmospheric Science | 1 |
| 15 | 59 | |
| 16 | Visualizing Earth Science Data for Environmental Monitoring and Decision Support in Mesoamerica: The SERVIR Project | 1 |
| 17 | 9 | |
| 18 | An Interoperable Framework for Mining and Analysis of Space Science Data (F-MASS) | 1 |
| 19 | An Empirical Study of Refactoring, New Design, and Error-Fix Efforts in Extreme Programming | 5 |
| 20 | Target-independent mining for scientific data: capturing transients and trends for phenomena mining | 8 |
About Sara Graves
Sara Graves is a scholar working on Information Systems and Management, Computer Networks and Communications and Artificial Intelligence, having authored 66 papers that have together received 509 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (15 papers), Advanced Computational Techniques and Applications (14 papers) and Distributed and Parallel Computing Systems (8 papers). The work is most often cited by research in Information Systems and Management (104 citations), Geology (45 citations) and Computer Networks and Communications (132 citations). Sara Graves has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Rahul Ramachandran, Thomas H. Hinke, Heggere S. Ranganath, Hong Lin, Beth Plale, U. S. Nair, Susan M. Bridges, Xiang Li, V. Chandrasekar and Robert B. Wilhelmson. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.
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.