Adam Kania

483 total citations
17 papers, 373 citations indexed

About

Adam Kania is a scholar working on Ecology, Environmental Engineering and Ecological Modeling. According to data from OpenAlex, Adam Kania has authored 17 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Ecology, 15 papers in Environmental Engineering and 10 papers in Ecological Modeling. Recurrent topics in Adam Kania's work include Remote Sensing and LiDAR Applications (15 papers), Remote Sensing in Agriculture (14 papers) and Species Distribution and Climate Change (10 papers). Adam Kania is often cited by papers focused on Remote Sensing and LiDAR Applications (15 papers), Remote Sensing in Agriculture (14 papers) and Species Distribution and Climate Change (10 papers). Adam Kania collaborates with scholars based in Austria, Hungary and Poland. Adam Kania's co-authors include Balázs Déak, András Zlinszky, Werner Mücke, Norbert Pfeifer, Dominik Kopeć, Cici Alexander, Hermann Heilmeier, Luca Demarchi, Jarosław Chormański and Wojciech Ciężkowski and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Remote Sensing.

In The Last Decade

Adam Kania

15 papers receiving 362 citations

Peers

Adam Kania

ECOLO

GPC

NLC

Jiří Prošek Czechia

Pekka Hurskainen Finland

M. Deshayes France

Sabelo Madonsela South Africa

G. L. Anderson United States

Laura Poikolainen Finland

Maïlys Lopes France

Dominik Kopeć Poland

Carla Luciane Lima Brazil

Klaus Ecker Switzerland

Jiří Prošek Czechia

Adam Kania

216 ×0.8

ECOLO

231 ×1.4

70 ×0.6

101 ×1.0

GPC

72 ×1.1

NLC

Citations per year, relative to Adam Kania Adam Kania (= 1×) peers Jiří Prošek

Countries citing papers authored by Adam Kania

Since Specialization

Citations

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

Fields of papers citing papers by Adam Kania

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adam Kania. 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 Adam Kania. The network helps show where Adam Kania may publish in the future.

Co-authorship network of co-authors of Adam Kania

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

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

Kopeć, Dominik, et al.. (2024). Airborne data and machine learning for urban tree species mapping: Enhancing the legend design to improve the map applicability for city greenery management. International Journal of Applied Earth Observation and Geoinformation. 128. 103719–103719. 1 indexed citations

Feilhauer, Hannes, András Zlinszky, Adam Kania, et al.. (2020). Let your maps be fuzzy!—Class probabilities and floristic gradients as alternatives to crisp mapping for remote sensing of vegetation. Remote Sensing in Ecology and Conservation. 7(2). 292–305. 34 indexed citations

Demarchi, Luca, et al.. (2020). Recursive Feature Elimination and Random Forest Classification of Natura 2000 Grasslands in Lowland River Valleys of Poland Based on Airborne Hyperspectral and LiDAR Data Fusion. Remote Sensing. 12(11). 1842–1842. 58 indexed citations

Kania, Adam, et al.. (2019). Multiple Flights or Single Flight Instrument Fusion of Hyperspectral and ALS Data? A Comparison of their Performance for Vegetation Mapping. Remote Sensing. 11(8). 970–970. 24 indexed citations

Kania, Adam, et al.. (2019). The t-SNE Algorithm as a Tool to Improve the Quality of Reference Data Used in Accurate Mapping of Heterogeneous Non-Forest Vegetation. Remote Sensing. 12(1). 39–39. 16 indexed citations

Michalska-Hejduk, Dorota, et al.. (2019). Mapping secondary succession species in agricultural landscape with the use of hyperspectral and airborne laser scanning data. Journal of Applied Remote Sensing. 13(3). 1–1. 3 indexed citations

Kopeć, Dominik, et al.. (2019). Using Airborne Hyperspectral Imaging Spectroscopy to Accurately Monitor Invasive and Expansive Herb Plants: Limitations and Requirements of the Method. Sensors. 19(13). 2871–2871. 16 indexed citations

Michalska-Hejduk, Dorota, et al.. (2019). Mapping Succession in Non-Forest Habitats by Means of Remote Sensing: Is the Data Acquisition Time Critical for Species Discrimination?. Remote Sensing. 11(22). 2629–2629. 14 indexed citations

Michalska-Hejduk, Dorota, et al.. (2018). The influence of remote sensing data acquisition date on vegetation succession species classification effectiveness on the example of Dolina Krasnej Natura 2000 protected area (PLH260001). EGU General Assembly Conference Abstracts. 12108.

10.

Zlinszky, András & Adam Kania. (2016). WILL IT BLEND? VISUALIZATION AND ACCURACY EVALUATION OF HIGH-RESOLUTION FUZZY VEGETATION MAPS. SHILAP Revista de lepidopterología. XLI-B2. 335–342. 11 indexed citations

11.

Kania, Adam, et al.. (2016). BIODIVERSITY MAPPING VIA NATURA 2000 CONSERVATION STATUS AND EBV ASSESSMENT USING AIRBORNE LASER SCANNING IN ALKALI GRASSLANDS. The international archives of the photogrammetry, remote sensing and spatial information sciences. XLI-B8. 1293–1299. 2 indexed citations

12.

Zlinszky, András, et al.. (2016). BIODIVERSITY MAPPING VIA NATURA 2000 CONSERVATION STATUS AND EBV ASSESSMENT USING AIRBORNE LASER SCANNING IN ALKALI GRASSLANDS. SHILAP Revista de lepidopterología. XLI-B8. 1293–1299. 3 indexed citations

13.

Zlinszky, András, et al.. (2015). Mapping Natura 2000 Habitat Conservation Status in a Pannonic Salt Steppe with Airborne Laser Scanning. Remote Sensing. 7(3). 2991–3019. 44 indexed citations

14.

Alexander, Cici, Balázs Déak, Adam Kania, Werner Mücke, & Hermann Heilmeier. (2015). Classification of vegetation in an open landscape using full-waveform airborne laser scanner data. International Journal of Applied Earth Observation and Geoinformation. 41. 76–87. 22 indexed citations

15.

Déak, Balázs, Orsolya Valkó, Cici Alexander, et al.. (2014). Fine-scale vertical position as an indicator of vegetation in alkali grasslands – Case study based on remotely sensed data. Flora. 209(12). 693–697. 58 indexed citations

16.

Zlinszky, András, Adam Kania, Balázs Déak, et al.. (2014). Categorizing Grassland Vegetation with Full-Waveform Airborne Laser Scanning: A Feasibility Study for Detecting Natura 2000 Habitat Types. Remote Sensing. 6(9). 8056–8087. 67 indexed citations

17.

Székely, Balázs, et al.. (2012). A concept for extraction of habitat features from laser scanning and hypersprectral imaging for evaluation of Natura 2000 sites - the ChangeHabitats2 project approach. University of Debrecen Electronic Archive (University of Debrecen). 13678.

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.

Explore authors with similar magnitude of impact