Martin Landa

1.1k total citations · 1 hit paper
24 papers, 760 citations indexed

About

Martin Landa is a scholar working on Global and Planetary Change, Ecology and Environmental Engineering. According to data from OpenAlex, Martin Landa has authored 24 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Global and Planetary Change, 6 papers in Ecology and 6 papers in Environmental Engineering. Recurrent topics in Martin Landa's work include Geographic Information Systems Studies (6 papers), 3D Modeling in Geospatial Applications (5 papers) and Remote Sensing in Agriculture (4 papers). Martin Landa is often cited by papers focused on Geographic Information Systems Studies (6 papers), 3D Modeling in Geospatial Applications (5 papers) and Remote Sensing in Agriculture (4 papers). Martin Landa collaborates with scholars based in Czechia, Italy and United States. Martin Landa's co-authors include Markus Metz, Markus Neteler, Malcolm J. Bowman, Lukáš Brodský, Carlo Ricotta, A. Frigeri, Duccio Rocchini, Tomislav Hengl, Anna Petrášová and Josip Križan and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Remote Sensing and Remote Sensing.

In The Last Decade

Martin Landa

23 papers receiving 745 citations

Hit Papers

GRASS GIS: A multi-purpos... 2011 2026 2016 2021 2011 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. GRASS GIS: A multi-purpose open source GIS
    2011 610 citations Markus Neteler, Martin Landa et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Landa Czechia 8 269 253 164 130 101 24 760
Kenneth C. McGwire United States 16 441 1.6× 396 1.6× 255 1.6× 149 1.1× 118 1.2× 38 995
Ioannis Manakos Greece 16 452 1.7× 465 1.8× 236 1.4× 109 0.8× 79 0.8× 52 841
Neil Stuart United Kingdom 16 376 1.4× 198 0.8× 289 1.8× 241 1.9× 95 0.9× 61 976
Alexander M. Tait United States 9 471 1.8× 417 1.6× 196 1.2× 268 2.1× 82 0.8× 25 1.0k
Claire H. Jarvis United Kingdom 14 267 1.0× 241 1.0× 173 1.1× 178 1.4× 62 0.6× 29 923
Jannes Muenchow Germany 14 284 1.1× 184 0.7× 155 0.9× 113 0.9× 46 0.5× 20 873
Lia Duarte Portugal 16 267 1.0× 226 0.9× 206 1.3× 55 0.4× 72 0.7× 66 739
Luc Bertels Belgium 9 464 1.7× 403 1.6× 229 1.4× 173 1.3× 62 0.6× 24 838
Mikaela Weisse United States 10 565 2.1× 442 1.7× 290 1.8× 154 1.2× 61 0.6× 21 988
Faith Kearns United States 9 329 1.2× 239 0.9× 115 0.7× 101 0.8× 61 0.6× 17 680

Countries citing papers authored by Martin Landa

Since Specialization
Citations

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

Fields of papers citing papers by Martin Landa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Landa

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Landa. A scholar is included among the top collaborators of Martin Landa 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 Martin Landa. Martin Landa 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.
Brodský, Lukáš, et al.. (2024). Convolutional neural networks for urban green areas semantic segmentation on Sentinel-2 data. Remote Sensing Applications Society and Environment. 36. 101238–101238. 6 indexed citations
2.
Landa, Martin, et al.. (2024). Convolutional neural networks for road surface classification on aerial imagery. PeerJ Computer Science. 10. e2571–e2571. 4 indexed citations
3.
Landa, Martin, et al.. (2024). Using Virtual and Augmented Reality with GIS Data. ISPRS International Journal of Geo-Information. 13(7). 241–241. 10 indexed citations
4.
Petrášová, Anna, et al.. (2023). Redesigning Graphical User Interface of Open-Source Geospatial Software in a Community-Driven Way: A Case Study of GRASS GIS. ISPRS International Journal of Geo-Information. 12(9). 376–376. 1 indexed citations
5.
Parente, Leandro, Tomislav Hengl, Martin Landa, et al.. (2022). A spatiotemporal ensemble machine learning framework for generating land use/land cover time-series maps for Europe (2000–2019) based on LUCAS, CORINE and GLAD Landsat. PeerJ. 10. e13573–e13573. 25 indexed citations
6.
Landa, Martin, et al.. (2022). DEVELOPING A VIRTUAL OPEN-AIR MUSEUM OF VERNACULAR ARCHITECTURE. Stavební obzor. 31(4). 548–560. 1 indexed citations
7.
Landa, Martin, et al.. (2022). Open Geospatial System for LUCAS In Situ Data Harmonization and Distribution. ISPRS International Journal of Geo-Information. 11(7). 361–361. 3 indexed citations
8.
Landa, Martin, et al.. (2022). Machine Learning-Based Approach Using Open Data to Estimate PM2.5 over Europe. Remote Sensing. 14(14). 3392–3392. 18 indexed citations
9.
Landa, Martin, et al.. (2021). Space-Time Machine Learning Models to Analyze COVID-19 Pandemic Lockdown Effects on Aerosol Optical Depth over Europe. Remote Sensing. 13(15). 3027–3027. 12 indexed citations
10.
Landa, Martin, et al.. (2019). SMODERP2D SOIL EROSION MODEL ENTERING AN OPEN SOURCE ERA WITH GPU-BASED PARALLELIZATION. SHILAP Revista de lepidopterología. XLII-4/W14. 143–149. 1 indexed citations
11.
Landa, Martin, et al.. (2018). Webové služby pro poskytování návrhových srážek. 60(1). 22–22. 1 indexed citations
12.
Rocchini, Duccio, Václav Petráš, Anna Petrášová, et al.. (2016). Spatio-ecological complexity measures in GRASS GIS. Computers & Geosciences. 104. 166–176. 13 indexed citations
13.
Chemin, Yann, Václav Petráš, Anna Petrášová, et al.. (2015). GRASS GIS: a peer-reviewed scientific platform and future research repository. CINECA IRIS Institutional Research Information System (Fondazione Edmund Mach). 17. 8314. 7 indexed citations
14.
Landa, Martin. (2015). OGR VFK Driver Implementation Issues.
15.
Landa, Martin, et al.. (2015). A GIS tool for reduction day precipitation to subday. 1 indexed citations
16.
Landa, Martin, et al.. (2014). Approaches to evaluation of changes in capital structure in industrial branches. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis. 58(6). 259–268. 3 indexed citations
17.
Rocchini, Duccio, Markus Metz, Carlo Ricotta, et al.. (2013). Fourier transforms for detecting multitemporal landscape fragmentation by remote sensing. International Journal of Remote Sensing. 34(24). 8907–8916. 19 indexed citations
18.
Landa, Martin. (2013). Analysis of operating costs variability in selected sectors of the Czech Republic for the period 2007-2010. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis. 60(2). 165–174. 2 indexed citations
19.
Landa, Martin. (2007). GUI development for GRASS GIS. SHILAP Revista de lepidopterología. 2. 43–52. 3 indexed citations
20.
Landa, Martin, et al.. (2006). Alcance total en la certificación de procesos de una unidad de atención primaria de Osakidetza-Servicio Vasco de Salud. Revista de Calidad Asistencial. 21(5). 271–276. 4 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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