Daniel J. Hayes
- Atmospheric Science top 0.2%
- Global and Planetary Change top 0.5%
- Ecology top 0.5%
- Environmental Chemistry top 0.5%
- Environmental Engineering top 1%
- Co-authors
- A. David McGuireGuido GrossePeter KuhryEdward A. G. SchuurDavid OlefeldtGustaf HugeliusMerritt R. TuretskyV. E. Romanovsky
- Topics
- Atmospheric and Environmental Gas Dynamics (28 papers)Climate change and permafrost (25 papers)Cryospheric studies and observations (19 papers)
- Journals
- NatureNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- United StatesCanadaChina
In The Last Decade
Daniel J. Hayes
81 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Atmospheric Science 4.4k
- Global and Planetary Change 2.4k
- Ecology 2.0k
- Environmental Chemistry 954
- Environmental Engineering 769
Countries citing papers authored by Daniel J. Hayes
This map shows the geographic impact of Daniel J. Hayes'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 Daniel J. Hayes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Hayes more than expected).
Fields of papers citing papers by Daniel J. Hayes
This network shows the impact of papers produced by Daniel J. Hayes. 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 Daniel J. Hayes. The network helps show where Daniel J. Hayes may publish in the future.
Co-authorship network of co-authors of Daniel J. Hayes
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Hayes. A scholar is included among the top collaborators of Daniel J. Hayes 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 Daniel J. Hayes. Daniel J. Hayes 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 | 1 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 19 | |
| 7 | 45 | |
| 8 | 4 | |
| 9 | 12 | |
| 10 | 13 | |
| 11 | 10 | |
| 12 | 18 | |
| 13 | 25 | |
| 14 | 114 | |
| 15 | 21 | |
| 16 | 34 | |
| 17 | 18 | |
| 18 | 12 | |
| 19 | Reconciling estimates of the contemporary North American carbon balance among an inventory-based approach, terrestrial biosphere models, and atmospheric inversions | 1 |
| 20 | Comparison of change-detection techniques for monitoring tropical forest clearing and vegetation regrowth in a time series | 189 |
About Daniel J. Hayes
Daniel J. Hayes is a scholar working on Global and Planetary Change, Atmospheric Science and Ecological Modeling, having authored 86 papers that have together received 6.7k indexed citations. Recurring topics across this work include Atmospheric and Environmental Gas Dynamics (28 papers), Climate change and permafrost (25 papers) and Cryospheric studies and observations (19 papers). The work is most often cited by research in Atmospheric Science (4.4k citations), Global and Planetary Change (2.4k citations) and Environmental Chemistry (954 citations). Daniel J. Hayes has collaborated with scholars based in United States, Canada and China. Frequent co-authors include A. David McGuire, Guido Grosse, Peter Kuhry, Edward A. G. Schuur, David Olefeldt, Gustaf Hugelius, Merritt R. Turetsky, V. E. Romanovsky, Charles D. Koven and Kevin Schaefer. Their work appears in journals such as Nature, Nature Communications and SHILAP Revista de lepidopterología.
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.