Carol Song
- Global and Planetary Change top 10%
- Computer Networks and Communications top 10%
- Information Systems and Management top 5%
- Water Science and Technology top 10%
- Hardware and Architecture top 10%
- Co-authors
- J.W.S. LiuLan ZhaoRao S. GovindarajuDev NiyogiLin ZhaoGaneshchandra MallyaVenkatesh MerwadeAdnan Rajib
- Topics
- Scientific Computing and Data Management (26 papers)Distributed and Parallel Computing Systems (24 papers)Environmental Monitoring and Data Management (8 papers)
- Journals
- Journal of Geophysical Research AtmospheresThe Science of The Total EnvironmentEnvironmental Research Letters
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Carol Song
63 papers receiving 656 citations
Peers
Comparison fields: 5 of 103
- Global and Planetary Change 160
- Computer Networks and Communications 151
- Information Systems and Management 98
- Water Science and Technology 96
- Hardware and Architecture 77
Countries citing papers authored by Carol Song
This map shows the geographic impact of Carol Song'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 Carol Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carol Song more than expected).
Fields of papers citing papers by Carol Song
This network shows the impact of papers produced by Carol Song. 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 Carol Song. The network helps show where Carol Song may publish in the future.
Co-authorship network of co-authors of Carol Song
This figure shows the co-authorship network connecting the top 25 collaborators of Carol Song. A scholar is included among the top collaborators of Carol Song 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 Carol Song. Carol Song 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 | 6 | |
| 3 | 58 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | SIMPLE-G US Web Application | 3 |
| 9 | 4 | |
| 10 | 4 | |
| 11 | GABBs: Cyberinfrastructure for Self-Service Geospatial Data Exploration, Computation, and Sharing | 0 |
| 12 | 37 | |
| 13 | 12 | |
| 14 | 67 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 3 | |
| 18 | 9 | |
| 19 | 1 | |
| 20 | 6 |
About Carol Song
Carol Song is a scholar working on Information Systems and Management, Geology and Computer Networks and Communications, having authored 68 papers that have together received 686 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (26 papers), Distributed and Parallel Computing Systems (24 papers) and Environmental Monitoring and Data Management (8 papers). The work is most often cited by research in Information Systems and Management (98 citations), Hardware and Architecture (77 citations) and Global and Planetary Change (160 citations). Carol Song has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include J.W.S. Liu, Lan Zhao, Rao S. Govindaraju, Dev Niyogi, Lin Zhao, Ganeshchandra Mallya, Venkatesh Merwade, Adnan Rajib, Shandian Zhe and Nelson B. Villoria. Their work appears in journals such as Journal of Geophysical Research Atmospheres, The Science of The Total Environment and Environmental Research Letters.
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.