Anne J. Sietsma
- Health, Toxicology and Mutagenesis top 10%
- Sociology and Political Science
- Global and Planetary Change
- General Health Professions
- Ecology, Evolution, Behavior and Systematics
- Co-authors
- Jan C. MinxMax CallaghanJames D. FordPauline ScheelbeekNeal HaddawayLea Berrang‐FordAndy HainesAlan D. Dangour
- Topics
- Climate Change Communication and Perception (6 papers)Computational and Text Analysis Methods (4 papers)Climate variability and models (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaNature Climate ChangeClimatic Change
- Partner nations
- United KingdomGermanyNetherlands
In The Last Decade
Anne J. Sietsma
12 papers receiving 239 citations
Peers
Comparison fields: 5 of 77
- Health, Toxicology and Mutagenesis 83
- Sociology and Political Science 59
- Global and Planetary Change 52
- General Health Professions 38
- Ecology, Evolution, Behavior and Systematics 30
Countries citing papers authored by Anne J. Sietsma
This map shows the geographic impact of Anne J. Sietsma'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 Anne J. Sietsma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne J. Sietsma more than expected).
Fields of papers citing papers by Anne J. Sietsma
This network shows the impact of papers produced by Anne J. Sietsma. 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 Anne J. Sietsma. The network helps show where Anne J. Sietsma may publish in the future.
Co-authorship network of co-authors of Anne J. Sietsma
This figure shows the co-authorship network connecting the top 25 collaborators of Anne J. Sietsma. A scholar is included among the top collaborators of Anne J. Sietsma 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 Anne J. Sietsma. Anne J. Sietsma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 22 | |
| 5 | 1 | |
| 6 | 12 | |
| 7 | 17 | |
| 8 | 3 | |
| 9 | 13 | |
| 10 | 52 | |
| 11 | 121 | |
| 12 | 1 | |
| 13 | 2 |
About Anne J. Sietsma
Anne J. Sietsma is a scholar working on General Social Sciences, Global and Planetary Change and Health, Toxicology and Mutagenesis, having authored 13 papers that have together received 247 indexed citations. Recurring topics across this work include Climate Change Communication and Perception (6 papers), Computational and Text Analysis Methods (4 papers) and Climate variability and models (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (83 citations), General Social Sciences (13 citations) and Global and Planetary Change (52 citations). Anne J. Sietsma has collaborated with scholars based in United Kingdom, Germany and Netherlands. Frequent co-authors include Jan C. Minx, Max Callaghan, James D. Ford, Pauline Scheelbeek, Neal Haddaway, Lea Berrang‐Ford, Andy Haines, Alan D. Dangour, Robbert Biesbroek and Ioannis N. Athanasiadis. Their work appears in journals such as SHILAP Revista de lepidopterología, Nature Climate Change and Climatic Change.
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.