Daniel R. Curtis
- Economics and Econometrics top 10%
- Sociology and Political Science
- Genetics
- Atmospheric Science
- Global and Planetary Change
- Co-authors
- Bas van BavelTim SoensMichèle CampopianoMatthew HannafordJoseph DauerAndrew G. HultingCarol Mallory‐SmithRam A. Cnaan
- Topics
- Historical Economic and Social Studies (16 papers)Yersinia bacterium, plague, ectoparasites research (8 papers)Historical Studies and Socio-cultural Analysis (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaEmerging infectious diseasesAmerican Journal of Physical Anthropology
- Partner nations
- NetherlandsUnited KingdomBelgium
In The Last Decade
Daniel R. Curtis
38 papers receiving 467 citations
Peers
Comparison fields: 5 of 98
- Economics and Econometrics 132
- Sociology and Political Science 103
- Genetics 85
- Atmospheric Science 69
- Global and Planetary Change 67
Countries citing papers authored by Daniel R. Curtis
This map shows the geographic impact of Daniel R. Curtis'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 R. Curtis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel R. Curtis more than expected).
Fields of papers citing papers by Daniel R. Curtis
This network shows the impact of papers produced by Daniel R. Curtis. 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 R. Curtis. The network helps show where Daniel R. Curtis may publish in the future.
Co-authorship network of co-authors of Daniel R. Curtis
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel R. Curtis. A scholar is included among the top collaborators of Daniel R. Curtis 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 R. Curtis. Daniel R. Curtis 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 | 3 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 25 | |
| 7 | 36 | |
| 8 | 8 | |
| 9 | 3 | |
| 10 | 37 | |
| 11 | 14 | |
| 12 | 8 | |
| 13 | Better Understanding Disasters by Better Using History | 4 |
| 14 | 23 | |
| 15 | 35 | |
| 16 | 5 | |
| 17 | 18 | |
| 18 | 8 | |
| 19 | 8 | |
| 20 | 13 |
About Daniel R. Curtis
Daniel R. Curtis is a scholar working on History and Philosophy of Science, Modeling and Simulation and Economics and Econometrics, having authored 40 papers that have together received 515 indexed citations. Recurring topics across this work include Historical Economic and Social Studies (16 papers), Yersinia bacterium, plague, ectoparasites research (8 papers) and Historical Studies and Socio-cultural Analysis (5 papers). The work is most often cited by research in History and Philosophy of Science (22 citations), Economics and Econometrics (132 citations) and Paleontology (33 citations). Daniel R. Curtis has collaborated with scholars based in Netherlands, United Kingdom and Belgium. Frequent co-authors include Bas van Bavel, Tim Soens, Michèle Campopiano, Matthew Hannaford, Joseph Dauer, Andrew G. Hulting, Carol Mallory‐Smith and Ram A. Cnaan. Their work appears in journals such as SHILAP Revista de lepidopterología, Emerging infectious diseases and American Journal of Physical Anthropology.
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.