Elmar Csaplovics

1.5k total citations · 1 hit paper
44 papers, 1.1k citations indexed

About

Elmar Csaplovics is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Elmar Csaplovics has authored 44 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Ecology, 17 papers in Global and Planetary Change and 14 papers in Environmental Engineering. Recurrent topics in Elmar Csaplovics's work include Remote Sensing in Agriculture (22 papers), Land Use and Ecosystem Services (14 papers) and Remote Sensing and LiDAR Applications (13 papers). Elmar Csaplovics is often cited by papers focused on Remote Sensing in Agriculture (22 papers), Land Use and Ecosystem Services (14 papers) and Remote Sensing and LiDAR Applications (13 papers). Elmar Csaplovics collaborates with scholars based in Germany, Sudan and India. Elmar Csaplovics's co-authors include Luis Inostroza, Manoj K. Arora, Ashis Kumar Saha, Rolf Baur, Irene Sarkar, Ravi P. Gupta, Worku Zewdie, Rajender Gupta, Barbara Koch and Isobel Falconer and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Journal of Environmental Management.

In The Last Decade

Elmar Csaplovics

41 papers receiving 1.1k citations

Hit Papers

align trajectories

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.

Urban sprawl and fragmentation in Latin America: A dynamic quantification and characterization of spatial patterns

2012 274 citations Luis Inostroza, Rolf Baur et al. Journal of Environmental Management profile →

Peers

Countries citing papers authored by Elmar Csaplovics

Since Specialization

Citations

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

Fields of papers citing papers by Elmar Csaplovics

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elmar Csaplovics

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	AGB estimation using Sentinel-2 and Sentinel-1 datasets 2024 ·Environmental Monitoring and Assessment ·Mohammad Qasim, Elmar Csaplovics	1
2	Forest biomass assessment combining field inventorying and remote sensing data 2023 ·Open Geosciences ·Mohammad Qasim, Elmar Csaplovics, (unknown)	2
3	Examining the Potential of Sentinel Imagery and Ensemble Algorithms for Estimating Aboveground Biomass in a Tropical Dry Forest 2023 ·Remote Sensing ·(unknown), Mohammad Qasim, Elmar Csaplovics, (unknown), Susana Rodríguez‐Buriticá, (unknown), (unknown)	10
4	Spatial facilitation and competition regulate tree species assembly in a tropical dry forest 2023 ·Frontiers in Forests and Global Change ·(unknown), Thorsten Wiegand, Roy González‐M., Susana Rodríguez‐Buriticá, Mohammad Qasim, Elmar Csaplovics	1
5	Criteria and Indicators to Define Priority Areas for Biodiversity Conservation in Vietnam 2022 ·Forests ·(unknown), Elmar Csaplovics, (unknown), Trung Thành Nguyễn	4
6	Site-specific scaling of remote sensing-based estimates of woody cover and aboveground biomass for mapping long-term tropical dry forest degradation status 2022 ·Remote Sensing of Environment ·Tobias Fremout, (unknown), Evert Thomas, (unknown), (unknown), (unknown), (unknown), Rachel Atkinson, Elmar Csaplovics, Bart Muys	21
7	ASSESSMENT OF VOLUME AND ABOVE-GROUND BIOMASS IN ARAUCARIA FOREST THROUGH SATELLITE IMAGES, COMPARING DIFFERENT METHODS IN THE SOUTH OF CHILE 2020 ·SHILAP Revista de lepidopterología ·Francesco Pirotti, (unknown), Elmar Csaplovics	1
8	Assessment of Volume and Above-Ground Biomass in Araucaria Forest Through Satellite Images, Comparing Different Methods in the South of Chile 2020 ·Research Padua Archive (University of Padua) ·Francesco Pirotti, (unknown), Elmar Csaplovics	1
9	Monitoring Glyphosate-Based Herbicide Treatment Using Sentinel-2 Time Series—A Proof-of-Principle 2019 ·Remote Sensing ·Marion Pause, (unknown), (unknown), Elmar Csaplovics	14
10	Identifying Categorical Land Use Transition and Land Degradation in Northwestern Drylands of Ethiopia 2016 ·Remote Sensing ·Worku Zewdie, Elmar Csaplovics	31
11	Remote sensing-based vegetation indices for monitoring vegetation change in the semi-arid region of Sudan 2016 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·(unknown), (unknown), Elmar Csaplovics, (unknown)	4
12	Regional assessment of trends in vegetation change dynamics using principal component analysis 2016 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·(unknown), Elmar Csaplovics, (unknown), (unknown), (unknown)	1
13	Mapping and monitoring land-cover/land-use change in the gash agricultural scheme (Eastern Sudan) using remote sensing 2013 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·(unknown), Elmar Csaplovics, (unknown)	1
14	Integrated analysis of Aster and Landsat data to map land cover change using vegetation indices 2013 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·(unknown), Elmar Csaplovics	1
15	Urban sprawl and fragmentation in Latin America: A dynamic quantification and characterization of spatial patterns breakdown → 2012 ·Journal of Environmental Management ·Luis Inostroza, Rolf Baur, Elmar Csaplovics	274
16	Flood monitoring in a semi-arid environment using spatially high resolution radar and optical data 2008 ·Journal of Environmental Management ·(unknown), (unknown), (unknown), Elmar Csaplovics	23
17	Land Cover Classification Using IRS LISS III Image and DEM in a Rugged Terrain: A Case Study in Himalayas 2005 ·Geocarto International ·Ashis Kumar Saha, Manoj K. Arora, Elmar Csaplovics, Rajender Gupta	91
18	An approach for GIS-based statistical landslide susceptibility zonation?with a case study in the Himalayas 2005 ·Landslides ·Ashis Kumar Saha, Ravi P. Gupta, Irene Sarkar, Manoj K. Arora, Elmar Csaplovics	319
19	Methoden der regionalen Fernerkundung : Anwendungen im Sahel Afrikas 1992 ·Springer eBooks ·Elmar Csaplovics	3
20	Analysis of colour infrared aerial photography and SPOT satellite data for monitoring land cover change of a heathland region of the Causse du Larzac (Massif Central, France) 1992 ·International Journal of Remote Sensing ·Elmar Csaplovics	7

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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