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

Urban sprawl and fragmentation in Latin America: A dynami... 2012 2026 2016 2021 2012 50 100 150 200 250

Peers

Elmar Csaplovics
Tim Brewer United Kingdom
Chuluong Choi South Korea
Vincent Kakembo South Africa
Marj Tonini Switzerland
Elmar Csaplovics
Citations per year, relative to Elmar Csaplovics Elmar Csaplovics (= 1×) peers Karim Solaimani

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

20 of 20 papers shown
1.
Qasim, Mohammad & Elmar Csaplovics. (2024). AGB estimation using Sentinel-2 and Sentinel-1 datasets. Environmental Monitoring and Assessment. 196(3). 299–299. 1 indexed citations
2.
Qasim, Mohammad, et al.. (2023). Forest biomass assessment combining field inventorying and remote sensing data. Open Geosciences. 15(1). 2 indexed citations
3.
Qasim, Mohammad, et al.. (2023). Examining the Potential of Sentinel Imagery and Ensemble Algorithms for Estimating Aboveground Biomass in a Tropical Dry Forest. Remote Sensing. 15(21). 5086–5086. 10 indexed citations
4.
Wiegand, Thorsten, et al.. (2023). Spatial facilitation and competition regulate tree species assembly in a tropical dry forest. Frontiers in Forests and Global Change. 6. 1 indexed citations
5.
Csaplovics, Elmar, et al.. (2022). Criteria and Indicators to Define Priority Areas for Biodiversity Conservation in Vietnam. Forests. 13(9). 1341–1341. 4 indexed citations
6.
Fremout, Tobias, et al.. (2022). Site-specific scaling of remote sensing-based estimates of woody cover and aboveground biomass for mapping long-term tropical dry forest degradation status. Remote Sensing of Environment. 276. 113040–113040. 21 indexed citations
7.
Pirotti, Francesco, et al.. (2020). ASSESSMENT OF VOLUME AND ABOVE-GROUND BIOMASS IN ARAUCARIA FOREST THROUGH SATELLITE IMAGES, COMPARING DIFFERENT METHODS IN THE SOUTH OF CHILE. SHILAP Revista de lepidopterología. XLII-3/W12-2020. 331–336. 1 indexed citations
8.
Pirotti, Francesco, et al.. (2020). Assessment of Volume and Above-Ground Biomass in Araucaria Forest Through Satellite Images, Comparing Different Methods in the South of Chile. Research Padua Archive (University of Padua). 37. 579–584. 1 indexed citations
9.
Pause, Marion, et al.. (2019). Monitoring Glyphosate-Based Herbicide Treatment Using Sentinel-2 Time Series—A Proof-of-Principle. Remote Sensing. 11(21). 2541–2541. 14 indexed citations
10.
Zewdie, Worku & Elmar Csaplovics. (2016). Identifying Categorical Land Use Transition and Land Degradation in Northwestern Drylands of Ethiopia. Remote Sensing. 8(5). 408–408. 31 indexed citations
11.
Csaplovics, Elmar, et al.. (2016). Remote sensing-based vegetation indices for monitoring vegetation change in the semi-arid region of Sudan. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9998. 99981X–99981X. 4 indexed citations
12.
Csaplovics, Elmar, et al.. (2016). Regional assessment of trends in vegetation change dynamics using principal component analysis. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9998. 99981Y–99981Y. 1 indexed citations
13.
Csaplovics, Elmar, et al.. (2013). Mapping and monitoring land-cover/land-use change in the gash agricultural scheme (Eastern Sudan) using remote sensing. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8887. 88871E–88871E. 1 indexed citations
14.
Csaplovics, Elmar, et al.. (2013). Integrated analysis of Aster and Landsat data to map land cover change using vegetation indices. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8887. 888709–888709. 1 indexed citations
15.
Inostroza, Luis, Rolf Baur, & Elmar Csaplovics. (2012). Urban sprawl and fragmentation in Latin America: A dynamic quantification and characterization of spatial patterns. Journal of Environmental Management. 115. 87–97. 274 indexed citations breakdown →
16.
Csaplovics, Elmar, et al.. (2008). Flood monitoring in a semi-arid environment using spatially high resolution radar and optical data. Journal of Environmental Management. 90(7). 2121–2129. 23 indexed citations
17.
Saha, Ashis Kumar, Manoj K. Arora, Elmar Csaplovics, & Rajender Gupta. (2005). Land Cover Classification Using IRS LISS III Image and DEM in a Rugged Terrain: A Case Study in Himalayas. Geocarto International. 20(2). 33–40. 91 indexed citations
18.
Saha, Ashis Kumar, Ravi P. Gupta, Irene Sarkar, Manoj K. Arora, & Elmar Csaplovics. (2005). An approach for GIS-based statistical landslide susceptibility zonation?with a case study in the Himalayas. Landslides. 2(1). 61–69. 319 indexed citations
19.
Csaplovics, Elmar. (1992). Methoden der regionalen Fernerkundung : Anwendungen im Sahel Afrikas. Springer eBooks. 3 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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