Géza Király

741 total citations
12 papers, 603 citations indexed

About

Géza Király is a scholar working on Environmental Engineering, Nature and Landscape Conservation and Ecology. According to data from OpenAlex, Géza Király has authored 12 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Environmental Engineering, 6 papers in Nature and Landscape Conservation and 4 papers in Ecology. Recurrent topics in Géza Király's work include Remote Sensing and LiDAR Applications (8 papers), Forest ecology and management (5 papers) and Remote Sensing in Agriculture (3 papers). Géza Király is often cited by papers focused on Remote Sensing and LiDAR Applications (8 papers), Forest ecology and management (5 papers) and Remote Sensing in Agriculture (3 papers). Géza Király collaborates with scholars based in Hungary, Slovakia and Ukraine. Géza Király's co-authors include Gábor Brolly, Oleksandra Shandra, Catalina Munteanu, Éva Konkoly‐Gyuró, Juraj Lieskovský, Katarzyna Ostapowicz, Dominik Kaim, Krzysztof Ostafin, Volker C. Radeloff and Jacek Kozak and has published in prestigious journals such as Global Environmental Change, Remote Sensing and Land Use Policy.

In The Last Decade

Géza Király

12 papers receiving 583 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Géza Király Hungary 9 302 248 190 169 117 12 603
Vicente J. Monleón United States 16 384 1.3× 304 1.2× 349 1.8× 215 1.3× 123 1.1× 42 753
William D. Simonson United Kingdom 15 279 0.9× 241 1.0× 235 1.2× 305 1.8× 96 0.8× 20 627
Alessandro Vitali Italy 13 359 1.2× 136 0.5× 227 1.2× 173 1.0× 85 0.7× 28 575
Nicolas Labrière France 15 252 0.8× 297 1.2× 222 1.2× 309 1.8× 68 0.6× 18 749
Yasumasa Hirata Japan 16 288 1.0× 512 2.1× 314 1.7× 455 2.7× 147 1.3× 51 819
Solichin Manuri Australia 7 223 0.7× 238 1.0× 247 1.3× 614 3.6× 64 0.5× 9 935
Matheus Henrique Nunes United Kingdom 16 310 1.0× 201 0.8× 303 1.6× 216 1.3× 45 0.4× 34 636
Raffaella Marzano Italy 16 570 1.9× 80 0.3× 334 1.8× 264 1.6× 172 1.5× 38 792
Milic Čurović Montenegro 16 211 0.7× 145 0.6× 111 0.6× 99 0.6× 92 0.8× 46 599
Veronika Leitold United States 9 352 1.2× 329 1.3× 335 1.8× 319 1.9× 72 0.6× 11 640

Countries citing papers authored by Géza Király

Since Specialization
Citations

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

Fields of papers citing papers by Géza Király

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Géza Király

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

All Works

12 of 12 papers shown
1.
Király, Géza, et al.. (2024). Forest Disturbance Monitoring Using Cloud-Based Sentinel-2 Satellite Imagery and Machine Learning. Journal of Imaging. 10(1). 14–14. 5 indexed citations
2.
Brolly, Gábor, Géza Király, Matti Lehtomäki, & Xinlian Liang. (2021). Voxel-Based Automatic Tree Detection and Parameter Retrieval from Terrestrial Laser Scans for Plot-Wise Forest Inventory. Remote Sensing. 13(4). 542–542. 19 indexed citations
3.
Brolly, Gábor, et al.. (2018). Algorithm on extraction of trees in voxel-space from terrestrial laser scans. EGUGA. 18967. 1 indexed citations
4.
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
5.
Király, Géza, et al.. (2017). Treefall Gap Mapping Using Sentinel-2 Images. Forests. 8(11). 426–426. 13 indexed citations
6.
Munteanu, Catalina, Tobias Kuemmerle, Nicholas S. Keuler, et al.. (2015). Legacies of 19th century land use shape contemporary forest cover. Global Environmental Change. 34. 83–94. 96 indexed citations
7.
Munteanu, Catalina, Tobias Kuemmerle, Martin Boltižiar, et al.. (2014). Forest and agricultural land change in the Carpathian region—A meta-analysis of long-term patterns and drivers of change. Land Use Policy. 38. 685–697. 251 indexed citations
8.
Király, Géza, et al.. (2014). Individual tree and crown identification in the danube floodplain forests based on airborne laser scanning data. 4 indexed citations
9.
Brolly, Gábor, et al.. (2013). Mapping Forest Regeneration from Terrestrial Laser Scans. Acta silvatica & lignaria Hungarica. 9(1). 135–146. 15 indexed citations
10.
Náhlik, András, et al.. (2009). Space Use and Activity Patterns of Red Deer in a Highly Forested and in a Patchy Forest-Agricultural Habitat. Acta silvatica & lignaria Hungarica. 5(1). 109–118. 15 indexed citations
11.
Brolly, Gábor & Géza Király. (2009). Algorithms for Stem Mapping by Means of Terrestrial Laser Scanning. Acta silvatica & lignaria Hungarica. 5(1). 119–130. 92 indexed citations
12.
Király, Géza & Gábor Brolly. (2007). TREE HEIGHT ESTIMATION METHODS FOR TERRESTRIAL LASER SCANNING IN A FOREST RESERVE. Insects. 14(9). 47 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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