Zsófia Koma

21 papers receiving 307 citations

Peers

Zsófia Koma
Comparison fields: 5 of 56
  • Ecological Modeling 105
  • Environmental Engineering 186
  • Geology 45
  • Ecology 168
  • Space and Planetary Science 6
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Jiří Prošek Czechia
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Citations per year

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-authors

The 25 scholars most cited alongside Zsófia Koma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Zsófia Koma Line = papers co-authored together Zsófia Koma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201967
2 202138
3 201635
4 201932
5 202024
6 202021
7 202217
8 202216
9 202114
10 202212
11 202112
12 20147
13
Near real-time qualitative monitoring of lake water chlorophyll globally using GoogleEarth Engine
20176
14
Tectonic geomorphometric studies in the surroundings of Rechnitz tectonic window, Eastern Alps
20143
15
Geomorphometric correlations of vegetation cover properties and topographic karst features based on high-resolution LiDAR DTM of Aggtelek Karst, NE Hungary
20152
16
Object-based habitat mapping of reedbeds using country-wide airborne laser scanning point clouds
20182
17 20251
18
DTM generation using land cover classification based on low density lidar data
20141
19
Automated estimation of leaf distribution for individual trees based on TLS point clouds
20171
20
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
20151

About Zsófia Koma

Zsófia Koma is a scholar working on Ecological Modeling, Environmental Engineering, Earth-Surface Processes, Insect Science and Geology, having authored 22 papers that have together received 313 indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (15 papers), Species Distribution and Climate Change (7 papers), Remote Sensing in Agriculture (7 papers), Forest Ecology and Biodiversity Studies (5 papers), Landslides and related hazards (3 papers), Wildlife Ecology and Conservation (3 papers), Geological Formations and Processes Exploration (3 papers) and Geological formations and processes (2 papers). The work is most often cited by research in Ecological Modeling (105 citations), Environmental Engineering (186 citations), Geology (45 citations), Ecology (168 citations) and Space and Planetary Science (6 citations). Zsófia Koma has collaborated with scholars based in Netherlands, Denmark and Germany. Frequent co-authors include W. Daniel Kissling, A.C. Seijmonsbergen, Michiel F. WallisDeVries, Meiert W. Grootes, Balázs Székely, Christiaan Meijer, Tamás Telbisz, Willem Bouten, Francesco Nattino and Chris Lucas. Their work appears in journals such as Diversity and Distributions, SoftwareX, Journal of Mammalogy, Ecological Indicators and Data in Brief.

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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