Martin Kappas

5.1k total citations · 1 hit paper
111 papers, 3.4k citations indexed

About

Martin Kappas is a scholar working on Global and Planetary Change, Ecology and Atmospheric Science. According to data from OpenAlex, Martin Kappas has authored 111 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Global and Planetary Change, 43 papers in Ecology and 29 papers in Atmospheric Science. Recurrent topics in Martin Kappas's work include Remote Sensing in Agriculture (35 papers), Land Use and Ecosystem Services (21 papers) and Hydrology and Watershed Management Studies (16 papers). Martin Kappas is often cited by papers focused on Remote Sensing in Agriculture (35 papers), Land Use and Ecosystem Services (21 papers) and Hydrology and Watershed Management Studies (16 papers). Martin Kappas collaborates with scholars based in Germany, Vietnam and United States. Martin Kappas's co-authors include Thanh Noi Phan, Jan Degener, Pavel Propastin, Tung Gia Pham, Stefan Erasmi, P. K. Garg, Nguyen Hoang Khanh Linh, Ammar Rafiei Emam, Nayan Sharma and Yi Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Cleaner Production.

In The Last Decade

Martin Kappas

109 papers receiving 3.3k citations

Hit Papers

Comparison of Random Forest, k-Nearest Neighbor, and Supp... 2017 2026 2020 2023 2017 250 500 750
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. Comparison of Random Forest, k-Nearest Neighbor, and Support Vector Machine Classifiers for Land Cover Classification Using Sentinel-2 Imagery
    2017 993 citations Thanh Noi Phan, Martin Kappas Sensors 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 Kappas Germany 27 1.5k 1.2k 1000 584 501 111 3.4k
Diofantos Hadjimitsis Cyprus 37 1.3k 0.9× 814 0.7× 1.0k 1.0× 757 1.3× 438 0.9× 310 4.3k
Chong Huang China 30 1.3k 0.8× 1.5k 1.3× 777 0.8× 542 0.9× 300 0.6× 152 3.0k
Jinsong Deng China 33 1.6k 1.1× 882 0.7× 959 1.0× 646 1.1× 427 0.9× 97 3.3k
Ioannis Z. Gitas Greece 34 2.2k 1.5× 2.0k 1.7× 1.2k 1.2× 368 0.6× 330 0.7× 129 3.7k
Phaedon Kyriakidis United States 31 1.2k 0.8× 941 0.8× 1.3k 1.3× 571 1.0× 481 1.0× 93 3.5k
Wei Yang China 33 1.4k 1.0× 1.7k 1.5× 997 1.0× 542 0.9× 499 1.0× 154 3.7k
Meisam Amani Iran 32 2.1k 1.4× 1.9k 1.6× 1.4k 1.4× 878 1.5× 421 0.8× 98 4.1k
Varun Narayan Mishra India 24 1.4k 1.0× 709 0.6× 1.0k 1.0× 463 0.8× 659 1.3× 96 2.4k
Sahel Mahdavi Canada 25 1.5k 1.0× 1.4k 1.2× 934 0.9× 535 0.9× 286 0.6× 49 2.8k
Frank Canters Belgium 31 1.6k 1.1× 644 0.5× 974 1.0× 446 0.8× 306 0.6× 144 3.1k

Countries citing papers authored by Martin Kappas

Since Specialization
Citations

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

Fields of papers citing papers by Martin Kappas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Kappas

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Kappas. A scholar is included among the top collaborators of Martin Kappas 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 Kappas. Martin Kappas 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.
Kappas, Martin, et al.. (2025). Impact of forest disturbance derived from Sentinel-2 time series on Landsat 8/9 land surface temperature: The case of Norway spruce in Central Germany. ISPRS Journal of Photogrammetry and Remote Sensing. 228. 388–407. 1 indexed citations
2.
Putzenlechner, Birgitta, et al.. (2025). Modelling microclimatic variability in Andean forests of northern Patagonia. International Journal of Biometeorology. 69(6). 1279–1295.
3.
Putzenlechner, Birgitta, et al.. (2024). Assessing uncertainty in bioclimatic modelling: a comparison of two high-resolution climate datasets in northern Patagonia. Regional Environmental Change. 24(3). 4 indexed citations
4.
Kappas, Martin, et al.. (2024). Assessing land suitability for leguminous crops in the okavango river basin: A multicriteria and machine learning approach. International Journal of Applied Earth Observation and Geoinformation. 135. 104284–104284. 1 indexed citations
5.
Lin, Xue, et al.. (2022). Assessing the Drought Variability in Northeast China over Multiple Temporal and Spatial Scales. Atmosphere. 13(9). 1506–1506. 6 indexed citations
6.
Lin, Xue, et al.. (2022). Assessment of Climate Change and Human Activities on Vegetation Development in Northeast China. Sensors. 22(7). 2509–2509. 16 indexed citations
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Li, Yi, et al.. (2018). Identifying the key catastrophic variables of urban social-environmental resilience and early warning signal. Environment International. 113. 184–190. 29 indexed citations
11.
Pham, Tung Gia, Jan Degener, & Martin Kappas. (2017). Integrated Universal Soil Loss Equation (USLE) and Geographical Information System (GIS) for Soil Erosion Measurement in basin of Asap river, Central Vietnam. EGUGA. 7516. 1 indexed citations
12.
Phan, Thanh Noi, Martin Kappas, & Jan Degener. (2017). Different combination of MODIS land surface temperature data for daily air surface temperature estimation in North West Vietnam. EGUGA. 5213. 2 indexed citations
13.
Li, Yi, Martin Kappas, & Yangfan Li. (2017). Exploring the coastal urban resilience and transformation of coupled human-environment systems. Journal of Cleaner Production. 195. 1505–1511. 48 indexed citations
14.
Phan, Thanh Noi, Martin Kappas, & Jan Degener. (2017). Land Cover Classification Using Sentinel-2 Image Data and Random Forest Algorithm. 4(9). 1 indexed citations
15.
Hosseini, Seyed Zeynalabedin, et al.. (2014). Comparison of Different Geostatistical Methods for Soil Mapping Using Remote Sensing and Environmental Variables in Poshtkouh Rangelands, Iran. Polish Journal of Environmental Studies. 23(3). 737–751. 10 indexed citations
16.
Chen, Jiquan, Garik Gutman, Geoffrey M. Henebry, et al.. (2013). Dryland East Asia: Land Dynamics amid Social and Climate Change. 42 indexed citations
17.
Kelleher, Dermot, Uwe Groß, & Martin Kappas. (2012). Global health. OAPEN (The OAPEN Foundation). 2 indexed citations
18.
Kappas, Martin, et al.. (2010). Assessment of erosion hazard in Torres Municipality of Lara State (Venezuela) based on GIS. Interciencia. 35(5). 348–356. 13 indexed citations
19.
Propastin, Pavel & Martin Kappas. (2008). Spatial Response of Vegetation to Precipitation in Dry Lands of Kazakhstan: Combination of Remote Sensing Data with Climate Records. DergiPark (Istanbul University). 2(3). 139–145. 1 indexed citations
20.
Erasmi, Stefan, Bernd Cyffka, & Martin Kappas. (2005). Remote Sensing & GIS for Environmental Studies: Applications in Geography. 5 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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