Martin Landa

72 total papers · 1.1k total citations
24 papers, 750 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 750 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 Hydrology and Watershed Management Studies (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 Hydrology and Watershed Management Studies (4 papers). Martin Landa collaborates with scholars based in Czechia, Italy and United States. Martin Landa's co-authors include Markus Neteler, Markus Metz, Malcolm J. Bowman, Lukáš Brodský, Duccio Rocchini, A. Frigeri, Carlo Ricotta, Yann Chemin, Anna Petrášová and Leandro Parente 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

22 papers receiving 735 citations

Hit Papers

GRASS GIS: A multi-purpos... 2011 2026 2016 2021 2011 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Martin Landa 267 249 163 130 101 24 750
William Acevedo 503 1.9× 223 0.9× 114 0.7× 105 0.8× 70 0.7× 41 830
J. E. Estes 380 1.4× 393 1.6× 173 1.1× 173 1.3× 40 0.4× 42 744
Ioannis Manakos 449 1.7× 462 1.9× 237 1.5× 109 0.8× 78 0.8× 52 835
Roy A. Mead 241 0.9× 351 1.4× 197 1.2× 131 1.0× 29 0.3× 16 678
Jannes Muenchow 280 1.0× 180 0.7× 152 0.9× 112 0.9× 45 0.4× 20 852
David P. Lusch 295 1.1× 345 1.4× 168 1.0× 116 0.9× 65 0.6× 28 809
Luc Bertels 456 1.7× 398 1.6× 225 1.4× 171 1.3× 62 0.6× 24 827
C. F. Hutchinson 284 1.1× 392 1.6× 140 0.9× 105 0.8× 33 0.3× 20 766
Pinde Fu 248 0.9× 157 0.6× 157 1.0× 132 1.0× 43 0.4× 11 778
L.L.F. Janssen 312 1.2× 381 1.5× 301 1.8× 193 1.5× 45 0.4× 23 818

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

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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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