Magdalena Śmigaj
- Ecology top 10%
- Environmental Engineering top 5%
- Global and Planetary Change top 10%
- Ecological Modeling top 5%
- Plant Science
- Co-authors
- Rachel GaultonJuan Carlos Pinilla SuárezStuart BarrDavid W. WalkerMasakazu TaniLammert KooistraWen XiaoYunsheng Wang
- Topics
- Remote Sensing in Agriculture (8 papers)Remote Sensing and LiDAR Applications (6 papers)Species Distribution and Climate Change (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Science of The Total EnvironmentSensors
- Partner nations
- United KingdomNetherlandsJapan
In The Last Decade
Magdalena Śmigaj
15 papers receiving 444 citations
Peers
Comparison fields: 5 of 87
- Ecology 197
- Environmental Engineering 184
- Global and Planetary Change 107
- Ecological Modeling 76
- Plant Science 70
Countries citing papers authored by Magdalena Śmigaj
This map shows the geographic impact of Magdalena Śmigaj'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 Magdalena Śmigaj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Magdalena Śmigaj more than expected).
Fields of papers citing papers by Magdalena Śmigaj
This network shows the impact of papers produced by Magdalena Śmigaj. 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 Magdalena Śmigaj. The network helps show where Magdalena Śmigaj may publish in the future.
Co-authorship network of co-authors of Magdalena Śmigaj
This figure shows the co-authorship network connecting the top 25 collaborators of Magdalena Śmigaj. A scholar is included among the top collaborators of Magdalena Śmigaj 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 Magdalena Śmigaj. Magdalena Śmigaj 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 | 2 | |
| 4 | 0 | |
| 5 | 23 | |
| 6 | 17 | |
| 7 | 31 | |
| 8 | 16 | |
| 9 | 6 | |
| 10 | 112 | |
| 11 | 46 | |
| 12 | 13 | |
| 13 | A stakeholder-focused approach to characterising drought risk and adaptation pathways in the middle Himalaya | 1 |
| 14 | 27 | |
| 15 | 56 | |
| 16 | 42 | |
| 17 | 6 | |
| 18 | 63 |
About Magdalena Śmigaj
Magdalena Śmigaj is a scholar working on Ecological Modeling, Environmental Engineering and Ecology, having authored 18 papers that have together received 461 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (8 papers), Remote Sensing and LiDAR Applications (6 papers) and Species Distribution and Climate Change (4 papers). The work is most often cited by research in Ecological Modeling (76 citations), Environmental Engineering (184 citations) and Ecology (197 citations). Magdalena Śmigaj has collaborated with scholars based in United Kingdom, Netherlands and Japan. Frequent co-authors include Rachel Gaulton, Juan Carlos Pinilla Suárez, Stuart Barr, David W. Walker, Masakazu Tani, Lammert Kooistra, Wen Xiao, Yunsheng Wang, Benjamin Brede and Nebo Jovanovic. Their work appears in journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment 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.