Karolina Sakowska
- Ecology top 5%
- Global and Planetary Change top 5%
- Plant Science
- Environmental Engineering top 10%
- Ecological Modeling top 10%
- Co-authors
- Damiano GianelleRadosław JuszczakLoris VescovoMicol RossiniM. Pilar MartínTommaso JulittaJavier Pacheco‐LabradorRoberto Colombo
- Topics
- Remote Sensing in Agriculture (13 papers)Plant Water Relations and Carbon Dynamics (7 papers)Land Use and Ecosystem Services (5 papers)
In The Last Decade
Karolina Sakowska
17 papers receiving 439 citations
Peers
Comparison fields: 5 of 45
- Ecology 315
- Global and Planetary Change 263
- Plant Science 149
- Environmental Engineering 90
- Ecological Modeling 55
Countries citing papers authored by Karolina Sakowska
This map shows the geographic impact of Karolina Sakowska'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 Karolina Sakowska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karolina Sakowska more than expected).
Fields of papers citing papers by Karolina Sakowska
This network shows the impact of papers produced by Karolina Sakowska. 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 Karolina Sakowska. The network helps show where Karolina Sakowska may publish in the future.
Co-authorship network of co-authors of Karolina Sakowska
This figure shows the co-authorship network connecting the top 25 collaborators of Karolina Sakowska. A scholar is included among the top collaborators of Karolina Sakowska 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 Karolina Sakowska. Karolina Sakowska 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 | 30 | |
| 3 | 86 | |
| 4 | 27 | |
| 5 | 36 | |
| 6 | 1 | |
| 7 | 35 | |
| 8 | 15 | |
| 9 | 7 | |
| 10 | 68 | |
| 11 | 36 | |
| 12 | Modelling the Spatial Distribution of CO 2 Fluxes in a Subalpine Grassland Plateau of the Italian Alps Using Multiple Airborne AISA Eagle Hyperspectral Sensor Observations and Sentinel-2 Simulated Data. | 1 |
| 13 | 53 | |
| 14 | 20 | |
| 15 | 27 | |
| 16 | Związek między wskaźnikiem LAI a spektralnymi wskaźnikami roślinności na przykładzie wybranych gatunków roślin uprawnych | 1 |
| 17 | Zmienność dobowa strumieni CO2 wymienianych między atmosferą a różnymi uprawami rolniczymi | 3 |
About Karolina Sakowska
Karolina Sakowska is a scholar working on Ecological Modeling, Global and Planetary Change and Ecology, having authored 17 papers that have together received 447 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (13 papers), Plant Water Relations and Carbon Dynamics (7 papers) and Land Use and Ecosystem Services (5 papers). The work is most often cited by research in Ecological Modeling (55 citations), Global and Planetary Change (263 citations) and Ecology (315 citations). Karolina Sakowska has collaborated with scholars based in Italy, Poland and Austria. Frequent co-authors include Damiano Gianelle, Radosław Juszczak, Loris Vescovo, Micol Rossini, M. Pilar Martín, Tommaso Julitta, Javier Pacheco‐Labrador, Roberto Colombo, Uwe Rascher and Duccio Rocchini. Their work appears in journals such as New Phytologist, Plant Cell & 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.