Jan Kučera
- Global and Planetary Change top 10%
- Ecology
- Atmospheric Science
- Media Technology top 5%
- Aerospace Engineering
- Co-authors
- Peter StroblPaulo BarbosaGodstime K. JamesFabio Giulio TonoloKazuya KakuBrenda K. JonesCatherine ProyDebarati Guha‐Sapir
- Topics
- Remote Sensing in Agriculture (7 papers)Fire effects on ecosystems (7 papers)Remote Sensing and LiDAR Applications (3 papers)
In The Last Decade
Jan Kučera
13 papers receiving 260 citations
Peers
Comparison fields: 5 of 76
- Global and Planetary Change 120
- Ecology 66
- Atmospheric Science 64
- Media Technology 62
- Aerospace Engineering 45
Countries citing papers authored by Jan Kučera
This map shows the geographic impact of Jan Kučera'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 Jan Kučera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Kučera more than expected).
Fields of papers citing papers by Jan Kučera
This network shows the impact of papers produced by Jan Kučera. 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 Jan Kučera. The network helps show where Jan Kučera may publish in the future.
Co-authorship network of co-authors of Jan Kučera
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Kučera. A scholar is included among the top collaborators of Jan Kučera 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 Jan Kučera. Jan Kučera 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 | 1 | |
| 3 | 171 | |
| 4 | 1 | |
| 5 | 37 | |
| 6 | Evaluation of simple model for net radiation estimates above various vegetation covers | 1 |
| 7 | Assessment of forest fire impacts and emissions in the European Union based on the European forest fire information system | 9 |
| 8 | 1 | |
| 9 | 23 | |
| 10 | 3 | |
| 11 | 19 | |
| 12 | Retrieval of Forest Fire History in Far East Asia by Remote Sensing and Its Analysis with Biomass Burning Simulation and Climate Anomalies | 1 |
| 13 | REGIONAL MONITORING OF FOREST DISTURBANCES AND THEIR POTENTIAL EFFECTS TO CARBON CYCLING | 3 |
About Jan Kučera
Jan Kučera is a scholar working on Global and Planetary Change, Environmental Engineering and Ecology, having authored 13 papers that have together received 271 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (7 papers), Fire effects on ecosystems (7 papers) and Remote Sensing and LiDAR Applications (3 papers). The work is most often cited by research in Media Technology (62 citations), Global and Planetary Change (120 citations) and Atmospheric Science (64 citations). Jan Kučera has collaborated with scholars based in Italy, Japan and Thailand. Frequent co-authors include Peter Strobl, Paulo Barbosa, Godstime K. James, Fabio Giulio Tonolo, Kazuya Kaku, Brenda K. Jones, Catherine Proy, Debarati Guha‐Sapir, Manzul Kumar Hazarika and Jesús San-Miguel-Ayanz. Their work appears in journals such as Science, Forest Ecology and Management and ISPRS Journal of Photogrammetry and Remote Sensing.
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.