Sandra Johnson
- Ecology top 10%
- Global and Planetary Change top 10%
- Aerospace Engineering top 10%
- Nature and Landscape Conservation top 10%
- Artificial Intelligence
- Co-authors
- Kerrie MengersenEduard PuigKevin J. GastonFelipé GonzalezSamantha Low‐ChoyC. Davison AnkneySharon PattonLorraine K. Boast
- Topics
- Bayesian Modeling and Causal Inference (9 papers)Wildlife Ecology and Conservation (3 papers)Species Distribution and Climate Change (3 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Sandra Johnson
22 papers receiving 707 citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Ecology 233
- Global and Planetary Change 118
- Aerospace Engineering 112
- Nature and Landscape Conservation 87
- Artificial Intelligence 87
Countries citing papers authored by Sandra Johnson
This map shows the geographic impact of Sandra Johnson'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 Sandra Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandra Johnson more than expected).
Fields of papers citing papers by Sandra Johnson
This network shows the impact of papers produced by Sandra Johnson. 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 Sandra Johnson. The network helps show where Sandra Johnson may publish in the future.
Co-authorship network of co-authors of Sandra Johnson
This figure shows the co-authorship network connecting the top 25 collaborators of Sandra Johnson. A scholar is included among the top collaborators of Sandra Johnson 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 Sandra Johnson. Sandra Johnson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 8 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 15 | |
| 6 | 8 | |
| 7 | 41 | |
| 8 | 42 | |
| 9 | 22 | |
| 10 | 1 | |
| 11 | 29 | |
| 12 | A Bayesian Network approach to modelling temporal behaviour of Lyngbya majuscula bloom initiation | 2 |
| 13 | 56 | |
| 14 | 7 | |
| 15 | 28 | |
| 16 | 11 | |
| 17 | 19 | |
| 18 | Agenda Priorities: Top Institutional Concerns for 1994. | 1 |
| 19 | 41 | |
| 20 | 33 |
About Sandra Johnson
Sandra Johnson is a scholar working on Ecological Modeling, Artificial Intelligence and Virology, having authored 22 papers that have together received 744 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (9 papers), Wildlife Ecology and Conservation (3 papers) and Species Distribution and Climate Change (3 papers). The work is most often cited by research in Ecological Modeling (68 citations), Ecology (233 citations) and Developmental Biology (17 citations). Sandra Johnson has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Kerrie Mengersen, Eduard Puig, Kevin J. Gaston, Felipé Gonzalez, Samantha Low‐Choy, C. Davison Ankney, Sharon Patton, Lorraine K. Boast, Kelly Marnewick and Deon Cilliers. Their work appears in journals such as Global Change Biology, Journal of Environmental Management and Sensors.
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.