Ewa Grabska‐Szwagrzyk

857 total citations
16 papers, 620 citations indexed

About

Ewa Grabska‐Szwagrzyk is a scholar working on Global and Planetary Change, Ecology and Environmental Engineering. According to data from OpenAlex, Ewa Grabska‐Szwagrzyk has authored 16 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Global and Planetary Change, 8 papers in Ecology and 7 papers in Environmental Engineering. Recurrent topics in Ewa Grabska‐Szwagrzyk's work include Remote Sensing in Agriculture (7 papers), Remote Sensing and LiDAR Applications (7 papers) and Species Distribution and Climate Change (3 papers). Ewa Grabska‐Szwagrzyk is often cited by papers focused on Remote Sensing in Agriculture (7 papers), Remote Sensing and LiDAR Applications (7 papers) and Species Distribution and Climate Change (3 papers). Ewa Grabska‐Szwagrzyk collaborates with scholars based in Poland, Germany and United States. Ewa Grabska‐Szwagrzyk's co-authors include Katarzyna Ostapowicz, Patrick Hostert, Dirk Pflugmacher, David Frantz, Jarosław Socha, Jacek Kozak, Dominik Kaim, Paweł Hawryło, Agnieszka Wypych and Bronwyn Price and has published in prestigious journals such as PLoS ONE, Remote Sensing of Environment and Agricultural and Forest Meteorology.

In The Last Decade

Ewa Grabska‐Szwagrzyk

15 papers receiving 609 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ewa Grabska‐Szwagrzyk Poland 11 384 303 259 146 143 16 620
Eduarda Martiniano de Oliveira Silveira Brazil 14 385 1.0× 229 0.8× 251 1.0× 86 0.6× 186 1.3× 42 581
Asim Banskota United States 9 446 1.2× 358 1.2× 351 1.4× 68 0.5× 154 1.1× 9 664
Oumer S. Ahmed Canada 15 556 1.4× 505 1.7× 299 1.2× 108 0.7× 172 1.2× 18 787
Marion Pause Germany 12 305 0.8× 161 0.5× 218 0.8× 103 0.7× 81 0.6× 23 496
Meinrad Küchler Switzerland 15 427 1.1× 294 1.0× 265 1.0× 144 1.0× 228 1.6× 40 732
Agata Hościło Poland 11 621 1.6× 223 0.7× 553 2.1× 94 0.6× 89 0.6× 31 891
Peter T. Wolter United States 15 548 1.4× 336 1.1× 465 1.8× 103 0.7× 299 2.1× 22 832
Zhanzhang Cai Sweden 12 481 1.3× 209 0.7× 447 1.7× 176 1.2× 59 0.4× 25 727
Nilam Kayastha United States 6 372 1.0× 236 0.8× 306 1.2× 61 0.4× 69 0.5× 7 509
Sage Sheldon United States 10 566 1.5× 531 1.8× 418 1.6× 62 0.4× 279 2.0× 11 898

Countries citing papers authored by Ewa Grabska‐Szwagrzyk

Since Specialization
Citations

This map shows the geographic impact of Ewa Grabska‐Szwagrzyk'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 Ewa Grabska‐Szwagrzyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ewa Grabska‐Szwagrzyk more than expected).

Fields of papers citing papers by Ewa Grabska‐Szwagrzyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ewa Grabska‐Szwagrzyk. 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 Ewa Grabska‐Szwagrzyk. The network helps show where Ewa Grabska‐Szwagrzyk may publish in the future.

Co-authorship network of co-authors of Ewa Grabska‐Szwagrzyk

This figure shows the co-authorship network connecting the top 25 collaborators of Ewa Grabska‐Szwagrzyk. A scholar is included among the top collaborators of Ewa Grabska‐Szwagrzyk 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 Ewa Grabska‐Szwagrzyk. Ewa Grabska‐Szwagrzyk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Grabska‐Szwagrzyk, Ewa, Dirk Tiede, Martin Sudmanns, & Jacek Kozak. (2024). Map of forest tree species for Poland based on Sentinel-2 data. Earth system science data. 16(6). 2877–2891. 14 indexed citations
2.
Grabska‐Szwagrzyk, Ewa, William S. Keeton, Jacek Kozak, et al.. (2024). Historical maps improve the identification of forests with potentially high conservation value. Conservation Letters. 17(5). 2 indexed citations
3.
Musielok, Łukasz, et al.. (2024). Dynamic linkages between human pressure and stability of soil organic matter in mid-latitude mountains – A perspective review. Geoderma Regional. 39. e00859–e00859. 1 indexed citations
4.
Grabska‐Szwagrzyk, Ewa, et al.. (2024). Exploring land use dynamics in rural areas. An analysis of eight cases in the Global North. Land Use Policy. 144. 107246–107246. 6 indexed citations
5.
Grabska‐Szwagrzyk, Ewa, et al.. (2023). Sentinel-2 time series: a promising tool in monitoring temperate species spring phenology. Forestry An International Journal of Forest Research. 97(2). 267–281. 9 indexed citations
6.
Socha, Jarosław, Paweł Hawryło, Björn Reineking, et al.. (2023). Higher site productivity and stand age enhance forest susceptibility to drought-induced mortality. Agricultural and Forest Meteorology. 341. 109680–109680. 19 indexed citations
7.
Nikinmaa, Laura, Ewa Grabska‐Szwagrzyk, Agata Agnieszka Konczal, et al.. (2023). The priorities in managing forest disturbances to enhance forest resilience: A comparison of a literature analysis and perceptions of forest professionals. Forest Policy and Economics. 158. 103119–103119. 10 indexed citations
8.
Socha, Jarosław, Paweł Hawryło, Radomir Bałazy, et al.. (2021). Weather-sensitive height growth modelling of Norway spruce using repeated airborne laser scanning data. Agricultural and Forest Meteorology. 308-309. 108568–108568. 10 indexed citations
9.
Grabska‐Szwagrzyk, Ewa & Jarosław Socha. (2021). Evaluating the effect of stand properties and site conditions on the forest reflectance from Sentinel-2 time series. PLoS ONE. 16(3). e0248459–e0248459. 17 indexed citations
10.
Grabska‐Szwagrzyk, Ewa, David Frantz, & Katarzyna Ostapowicz. (2020). Evaluation of machine learning algorithms for forest stand species mapping using Sentinel-2 imagery and environmental data in the Polish Carpathians. Remote Sensing of Environment. 251. 112103–112103. 160 indexed citations
11.
Socha, Jarosław, et al.. (2020). Site Index Models for Main Forest-Forming Tree Species in Poland. Forests. 11(3). 301–301. 30 indexed citations
12.
Grabska‐Szwagrzyk, Ewa, Paweł Hawryło, & Jarosław Socha. (2020). Continuous Detection of Small-Scale Changes in Scots Pine Dominated Stands Using Dense Sentinel-2 Time Series. Remote Sensing. 12(8). 1298–1298. 26 indexed citations
13.
Grabska‐Szwagrzyk, Ewa, Patrick Hostert, Dirk Pflugmacher, & Katarzyna Ostapowicz. (2019). Forest Stand Species Mapping Using the Sentinel-2 Time Series. Remote Sensing. 11(10). 1197–1197. 214 indexed citations
14.
Lieskovský, Juraj, Dominik Kaim, Martin Boltižiar, et al.. (2018). Historical land use dataset of the Carpathian region (1819–1980). Journal of Maps. 14(2). 644–651. 45 indexed citations
15.
Kaim, Dominik, et al.. (2018). Impact of forecasted land use changes on flood risk in the Polish Carpathians. Natural Hazards. 94(1). 227–240. 55 indexed citations
16.
Grabska‐Szwagrzyk, Ewa. (2017). Ocena możliwości wykorzystania satelitarnych danych optycznych i radarowych do identyfikacji typów użytków rolnych. Jagiellonian University Repository (Jagiellonian University). 148/2016. 2 indexed citations

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.

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