Maria Aristeidou
- Ecological Modeling top 2%
- Social Psychology top 10%
- Education top 5%
- Sociology and Political Science
- Computer Science Applications top 5%
- Co-authors
- Christothea HerodotouEileen ScanlonMike SharplesSimon CrossHeidi L. BallardRebecca F. JohnsonLila HigginsAlison N. Young
- Topics
- Species Distribution and Climate Change (13 papers)Animal and Plant Science Education (9 papers)Online and Blended Learning (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEComputers in Human Behavior
- Partner nations
- United KingdomUnited StatesGreece
In The Last Decade
Maria Aristeidou
34 papers receiving 564 citations
Peers
Comparison fields: 5 of 102
- Ecological Modeling 259
- Social Psychology 174
- Education 152
- Sociology and Political Science 94
- Computer Science Applications 81
Countries citing papers authored by Maria Aristeidou
This map shows the geographic impact of Maria Aristeidou'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 Maria Aristeidou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Aristeidou more than expected).
Fields of papers citing papers by Maria Aristeidou
This network shows the impact of papers produced by Maria Aristeidou. 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 Maria Aristeidou. The network helps show where Maria Aristeidou may publish in the future.
Co-authorship network of co-authors of Maria Aristeidou
This figure shows the co-authorship network connecting the top 25 collaborators of Maria Aristeidou. A scholar is included among the top collaborators of Maria Aristeidou 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 Maria Aristeidou. Maria Aristeidou 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 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 6 | |
| 7 | 16 | |
| 8 | 14 | |
| 9 | 76 | |
| 10 | 29 | |
| 11 | 1 | |
| 12 | 10 | |
| 13 | 26 | |
| 14 | Learning Opportunities and Outcomes in Citizen Science: A Heuristic Model for Design and Evaluation | 4 |
| 15 | 3 | |
| 16 | 24 | |
| 17 | 30 | |
| 18 | Tomorrow’s World nQuire: young people’s requirements for engaging with inquiry-led, civic engagement technologies | 1 |
| 19 | 9 | |
| 20 | INVESTIGATING THE EFFECT OF USERS' TAGGING MOTIVATION ON THE DIGITAL EDUCATIONAL RESOURCES METADATA DESCRIPTIONS | 2 |
About Maria Aristeidou
Maria Aristeidou is a scholar working on Ecological Modeling, Computer Science Applications and Communication, having authored 37 papers that have together received 604 indexed citations. Recurring topics across this work include Species Distribution and Climate Change (13 papers), Animal and Plant Science Education (9 papers) and Online and Blended Learning (6 papers). The work is most often cited by research in Ecological Modeling (259 citations), Computer Science Applications (81 citations) and Social Psychology (174 citations). Maria Aristeidou has collaborated with scholars based in United Kingdom, United States and Greece. Frequent co-authors include Christothea Herodotou, Eileen Scanlon, Mike Sharples, Simon Cross, Heidi L. Ballard, Rebecca F. Johnson, Lila Higgins, Alison N. Young, Lucy D. Robinson and Nashwa Ismail. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Computers in Human Behavior.
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.