Edwin Raczko
Impact in
- Ecological Modeling top 5%
- Species Distribution and Climate Change
- Media Technology top 2%
- Remote-Sensing Image Classification
Papers in
- Ecology 15
- Remote Sensing in Agriculture 14
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- Species Distribution and Climate Change 11
- Co-authors
- Bogdan Zagajewski (13 shared papers)Marlena Kycko (2 shared papers)Marcin Kluczek (2 shared papers)Anna Jarocińska (6 shared papers)Jordi Corbera (1 shared paper)Dariusz Ziółkowski (1 shared paper)Samantha Lavender (1 shared paper)Dominik Kopeć (2 shared papers)
In The Last Decade
Edwin Raczko
19 papers receiving 767 citations
Edwin Raczko's Hit Papers
Peers
Comparison fields: 5 of 98
- Ecological Modeling 141
- Media Technology 172
- Ecology 470
- Environmental Engineering 247
- Global and Planetary Change 183
Countries citing papers authored by Edwin Raczko
This map shows the geographic impact of Edwin Raczko'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 Edwin Raczko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edwin Raczko more than expected).
Fields of papers citing papers by Edwin Raczko
This network shows the impact of papers produced by Edwin Raczko. 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 Edwin Raczko. The network helps show where Edwin Raczko may publish in the future.
Co-authors
The 25 scholars most cited alongside Edwin Raczko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Comparison of support vector machine, random forest and neural network classifiers for tree species classification on airborne hyperspectral APEX images Hit paper breakdown → | 2017 | 288 |
| 2 | 2020 | 115 | |
| 3 | 2021 | 74 | |
| 4 | 2021 | 61 | |
| 5 | 2020 | 38 | |
| 6 | 2017 | 34 | |
| 7 | 2018 | 31 | |
| 8 | 2020 | 29 | |
| 9 | 2018 | 21 | |
| 10 | 2014 | 20 | |
| 11 | 2021 | 17 | |
| 12 | 2022 | 14 | |
| 13 | 2023 | 11 | |
| 14 | 2021 | 10 | |
| 15 | 2018 | 7 | |
| 16 | 2024 | 6 | |
| 17 | 2020 | 5 | |
| 18 | 2015 | 1 | |
| 19 | Laboratory for Essential Biodiversity Variables (EBV) Concepts – The “Data Pool Initiative for the Bohemian Forest Ecosystem” | 2016 | 1 |
About Edwin Raczko
Edwin Raczko is a scholar working on Ecology, Ecological Modeling, Environmental Engineering, Media Technology and Plant Science, having authored 19 papers that have together received 783 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (14 papers), Species Distribution and Climate Change (11 papers), Remote Sensing and LiDAR Applications (5 papers), Remote-Sensing Image Classification (4 papers), Botany and Plant Ecology Studies (3 papers), Integrated Water Resources Management (2 papers), Land Use and Ecosystem Services (2 papers) and Occupational and environmental lung diseases (2 papers). The work is most often cited by research in Ecological Modeling (141 citations), Media Technology (172 citations), Ecology (470 citations), Environmental Engineering (247 citations) and Global and Planetary Change (183 citations). Edwin Raczko has collaborated with scholars based in Poland, Norway and Spain. Frequent co-authors include Bogdan Zagajewski, Marlena Kycko, Marcin Kluczek, Anna Jarocińska, Jordi Corbera, Dariusz Ziółkowski, Samantha Lavender, Dominik Kopeć, Hans Tømmervik and A. Kłos. Their work appears in journals such as Remote Sensing, European Journal of Remote Sensing, Remote Sensing of Environment, Building and Environment and ISPRS International Journal of Geo-Information.
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.