Zsófia Koma

448 total citations
22 papers, 313 citations indexed

About

Zsófia Koma is a scholar working on Environmental Engineering, Ecology and Ecological Modeling. According to data from OpenAlex, Zsófia Koma has authored 22 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Environmental Engineering, 9 papers in Ecology and 7 papers in Ecological Modeling. Recurrent topics in Zsófia Koma's work include Remote Sensing and LiDAR Applications (15 papers), Species Distribution and Climate Change (7 papers) and Remote Sensing in Agriculture (7 papers). Zsófia Koma is often cited by papers focused on Remote Sensing and LiDAR Applications (15 papers), Species Distribution and Climate Change (7 papers) and Remote Sensing in Agriculture (7 papers). Zsófia Koma collaborates with scholars based in Netherlands, Denmark and Germany. Zsófia Koma's co-authors include W. Daniel Kissling, A.C. Seijmonsbergen, Michiel F. WallisDeVries, Meiert W. Grootes, Christiaan Meijer, Balázs Székely, Francesco Nattino, Willem Bouten, Tamás Telbisz and Chris Lucas and has published in prestigious journals such as Remote Sensing, Ecological Indicators and Ecography.

In The Last Decade

Zsófia Koma

21 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zsófia Koma Netherlands 11 186 168 105 59 56 22 313
Jiří Prošek Czechia 11 231 1.2× 216 1.3× 70 0.7× 101 1.7× 72 1.3× 13 396
Jana Eichel Germany 11 209 1.1× 286 1.7× 106 1.0× 110 1.9× 76 1.4× 24 670
Jeffrey K. Gillan United States 10 149 0.8× 162 1.0× 49 0.5× 90 1.5× 44 0.8× 19 283
Lukáš Gábor Czechia 12 144 0.8× 225 1.3× 183 1.7× 78 1.3× 120 2.1× 17 401
Mihai‐Sorin Stupariu Romania 11 97 0.5× 137 0.8× 34 0.3× 169 2.9× 68 1.2× 25 360
Jakob J. Assmann Denmark 12 180 1.0× 300 1.8× 79 0.8× 144 2.4× 47 0.8× 30 592
Zhaoju Zheng China 12 181 1.0× 295 1.8× 65 0.6× 202 3.4× 114 2.0× 24 451
Flavio Marzialetti Italy 11 79 0.4× 195 1.2× 81 0.8× 95 1.6× 80 1.4× 23 352
Franklin B. Sullivan United States 12 336 1.8× 195 1.2× 23 0.2× 133 2.3× 172 3.1× 22 508
Irene Chrysafis Greece 8 240 1.3× 282 1.7× 68 0.6× 143 2.4× 146 2.6× 18 391

Countries citing papers authored by Zsófia Koma

Since Specialization
Citations

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

Fields of papers citing papers by Zsófia Koma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zsófia Koma

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

All Works

20 of 20 papers shown
1.
Assmann, Jakob J., Pil Birkefeldt Møller Pedersen, Jesper Erenskjold Moeslund, et al.. (2025). Temperate forests of high conservation value are successfully identified by satellite and LiDAR data fusion. Conservation Science and Practice. 7(2). 1 indexed citations
2.
3.
Koma, Zsófia, A.C. Seijmonsbergen, Meiert W. Grootes, et al.. (2022). Better together? Assessing different remote sensing products for predicting habitat suitability of wetland birds. Diversity and Distributions. 28(4). 685–699. 17 indexed citations
4.
Kissling, W. Daniel, Yifang Shi, Zsófia Koma, et al.. (2022). Country-wide data of ecosystem structure from the third Dutch airborne laser scanning survey. Data in Brief. 46. 108798–108798. 12 indexed citations
5.
Koma, Zsófia, Meiert W. Grootes, Christiaan Meijer, et al.. (2021). Niche separation of wetland birds revealed from airborne laser scanning. Ecography. 44(6). 907–918. 12 indexed citations
6.
Koma, Zsófia, et al.. (2021). Identifying fine‐scale habitat preferences of threatened butterflies using airborne laser scanning. Diversity and Distributions. 27(7). 1251–1264. 38 indexed citations
7.
Koma, Zsófia, et al.. (2021). Quantifying 3D vegetation structure in wetlands using differently measured airborne laser scanning data. Ecological Indicators. 127. 107752–107752. 14 indexed citations
8.
Meijer, Christiaan, Meiert W. Grootes, Zsófia Koma, et al.. (2020). Laserchicken—A tool for distributed feature calculation from massive LiDAR point cloud datasets. SoftwareX. 12. 100626–100626. 21 indexed citations
9.
Koma, Zsófia, A.C. Seijmonsbergen, & W. Daniel Kissling. (2020). Classifying wetland‐related land cover types and habitats using fine‐scale lidar metrics derived from country‐wide Airborne Laser Scanning. Remote Sensing in Ecology and Conservation. 7(1). 80–96. 24 indexed citations
10.
Koma, Zsófia, et al.. (2019). Use and categorization of Light Detection and Ranging vegetation metrics in avian diversity and species distribution research. Diversity and Distributions. 25(7). 1045–1059. 67 indexed citations
11.
Koma, Zsófia, A.C. Seijmonsbergen, Christiaan Meijer, Willem Bouten, & W. Daniel Kissling. (2018). Object-based habitat mapping of reedbeds using country-wide airborne laser scanning point clouds. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations
12.
Zlinszky, András, et al.. (2017). Near real-time qualitative monitoring of lake water chlorophyll globally using GoogleEarth Engine. EGUGA. 18950. 6 indexed citations
13.
Koma, Zsófia, Martin Rutzinger, & Magnus Bremer. (2017). Automated estimation of leaf distribution for individual trees based on TLS point clouds. EGUGA. 5329. 1 indexed citations
14.
15.
Székely, Balázs, et al.. (2015). Geomorphometric correlations of vegetation cover properties and topographic karst features based on high-resolution LiDAR DTM of Aggtelek Karst, NE Hungary. EGUGA. 12888. 2 indexed citations
16.
Telbisz, Tamás, et al.. (2015). Lidar- és topográfiai térkép alapú digitális terep-modellekből levezetett, illetve kézzel digitalizált töbör-körvonalak morfometriai összehasonlítása az Aggteleki-karszt példáján = Comparison of Doline Contours Derived from Lidar and Topographic Map-Based DTMs with Doline Contours Created by Manual Digitisation, the Case Example of Aggtelek Karst. Repository of the Academy's Library (Library of the Hungarian Academy of Sciences). 1 indexed citations
17.
Telbisz, Tamás, et al.. (2014). Tectonic geomorphometric studies in the surroundings of Rechnitz tectonic window, Eastern Alps. Geologia Sudetica. 42. 3 indexed citations
18.
Koma, Zsófia & András Zlinszky. (2014). DTM generation using land cover classification based on low density lidar data. EGUGA. 9397. 1 indexed citations
19.
Székely, Balázs, Zsófia Koma, Dávid Karátson, et al.. (2014). Automated recognition of quasi‐planar ignimbrite sheets as paleosurfaces via robust segmentation of digital elevation models: an example from the Central Andes. Earth Surface Processes and Landforms. 39(10). 1386–1399. 7 indexed citations
20.

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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