William S. Chandler
About
In The Last Decade
William S. Chandler
24 papers receiving 240 citations
Peers
Comparison fields: 5 of 60
- Global and Planetary Change 111
- Oceanography 110
- Atmospheric Science 61
- Artificial Intelligence 59
- Ecology 55
Countries citing papers authored by William S. Chandler
This map shows the geographic impact of William S. Chandler'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 William S. Chandler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William S. Chandler more than expected).
Fields of papers citing papers by William S. Chandler
This network shows the impact of papers produced by William S. Chandler. 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 William S. Chandler. The network helps show where William S. Chandler may publish in the future.
Co-authorship network of co-authors of William S. Chandler
This figure shows the co-authorship network connecting the top 25 collaborators of William S. Chandler. A scholar is included among the top collaborators of William S. Chandler 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 William S. Chandler. William S. Chandler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | A Beta Version of the GIS-Enabled NASA Surface meteorology and Solar Energy (SSE) Web Site With Expanded Data Accessibility and Analysis Functionality for Renewable Energy and Other Applications | 3 |
| 2 | Enhancing the NASA Prediction of Worldwide Energy Resource Web Data Delivery System with Geographic Information System (GIS) Capabilities | 2 |
| 3 | An Assessment of Actual and Potential Building Climate Zone Change and Variability From the Last 30 Years Through 2100 Using NASA's MERRA and CMIP5 Simulations | 1 |
| 4 | Using MERRA, AMIP II, CMIP5 Outputs to Assess Actual and Potential Building Climate Zone Change and Variability From the Last 30 Years Through 2100 | 1 |
| 5 | NASA Prediction of Worldwide Energy Resource High Resolution Meteorology Data For Sustainable Building Design | 13 |
| 6 | Downscaling NASA Climatological Data to Produce Detailed Climate Zone Maps | 1 |
| 7 | Towards an Improved High Resolution Global Long-Term Solar Resource Database | 2 |
| 8 | A GLOBAL ASSESSMENT OF SOLAR ENERGY RESOURCES: NASA's Prediction of Worldwide Energy Resources (POWER) Project | 4 |
| 9 | Satellite Based Assessment of the NSRDB Site Irradiances and Time Series from NASA and SUNY/Albany Algorithms | 3 |
| 10 | A Global Perspective: NASA's Prediction of Worldwide Energy Resources (POWER) Project | 1 |
| 11 | 11 | |
| 12 | 3 | |
| 13 | 8 | |
| 14 | 1 | |
| 15 | Release 3: NASA surface meteorology and solar energy data set for renewable energy industry use | 18 |
| 16 | SPREX preliminary hydrographic data report | 1 |
| 17 | 79-1 Hydrographic observations in the Georgia Bight (December 1976) | 1 |
| 18 | 79-5 Hydrographic observations in the Georgia Bight (April 1978) | 2 |
| 19 | 78-5 Hydrographic observations in the Georgia Bight (April 1977) | 1 |
| 20 | 77-6 Hydrographic observations in Onslow Bay, North Carolina (July - August 1976/OBIS V): data graphics | 4 |
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.