James Daniell
About
In The Last Decade
James Daniell
87 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Global and Planetary Change 828
- Sociology and Political Science 469
- Atmospheric Science 419
- Civil and Structural Engineering 362
- Geophysics 182
Countries citing papers authored by James Daniell
This map shows the geographic impact of James Daniell'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 James Daniell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Daniell more than expected).
Fields of papers citing papers by James Daniell
This network shows the impact of papers produced by James Daniell. 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 James Daniell. The network helps show where James Daniell may publish in the future.
Co-authorship network of co-authors of James Daniell
This figure shows the co-authorship network connecting the top 25 collaborators of James Daniell. A scholar is included among the top collaborators of James Daniell 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 James Daniell. James Daniell 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 | 0 | |
| 3 | 25 | |
| 4 | A multi-disciplinary analysis of the exceptional flood event of July 2021 in central Europe – Part 1: Event description and analysis breakdown → | 93 |
| 5 | 46 | |
| 6 | 195 | |
| 7 | How can we better understand the risk and impacts of consecutive disasters in developing countries | 1 |
| 8 | Rapid Earthquake Impact Modelling - GPU-powered intensity modelling cartography in social media | 1 |
| 9 | An innovation to Disaster Response: The Global RApid-post-disaster Damage Estimation (GRADE) Approach | 1 |
| 10 | The global role of natural disaster fatalities in decision-making: statistics, trends and analysis from 116 years of disaster data compared to fatality rates from other causes | 4 |
| 11 | The SMART CLUSTER METHOD - adaptive earthquake cluster analysis and declustering | 1 |
| 12 | The economic costs of natural disasters globally from 1900-2015: historical and normalised floods, storms, earthquakes, volcanoes, bushfires, drought and other disasters | 11 |
| 13 | Earthquake Cluster Analysis for Turkey and its Application for Seismic Hazard Assessment | 0 |
| 14 | State-of-the-Art in Tsunami Risk Modelling for a global perspective | 1 |
| 15 | Global Earthquake and Volcanic Eruption Economic losses and costs from 1900-2014: 115 years of the CATDAT database - Trends, Normalisation and Visualisation | 1 |
| 16 | Global review of open access risk assessment software packages valid for global or continental scale analysis | 1 |
| 17 | A comparison of socio-economic loss analysis from the 2013 Haiyan Typhoon and Bohol Earthquake events in the Philippines in near real-time | 1 |
| 18 | Application of Geostatistical Methods and Machine Learning for spatio-temporal Earthquake Cluster Analysis | 0 |
| 19 | Near Real-Time Forensic Disaster Analysis | 3 |
| 20 | Real-time Forensic Disaster Analysis | 2 |
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.