Lutz Fehrmann

1.7k total citations
38 papers, 720 citations indexed

About

Lutz Fehrmann is a scholar working on Nature and Landscape Conservation, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Lutz Fehrmann has authored 38 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Nature and Landscape Conservation, 24 papers in Environmental Engineering and 21 papers in Global and Planetary Change. Recurrent topics in Lutz Fehrmann's work include Forest ecology and management (23 papers), Remote Sensing and LiDAR Applications (22 papers) and Forest Management and Policy (10 papers). Lutz Fehrmann is often cited by papers focused on Forest ecology and management (23 papers), Remote Sensing and LiDAR Applications (22 papers) and Forest Management and Policy (10 papers). Lutz Fehrmann collaborates with scholars based in Germany, Canada and China. Lutz Fehrmann's co-authors include Christoph Kleinn, Carlos Pedro Boëchat Soares, Sabina Cerruto Ribeiro, Laércio Antônio Gonçalves Jacovine, Dominik Seidel, César Pérez‐Cruzado, Ricardo de Oliveira Gaspar, Erkki Tomppo, Aleksi Lehtonen and Xiaolu Tang and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and International Journal of Remote Sensing.

In The Last Decade

Lutz Fehrmann

37 papers receiving 689 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lutz Fehrmann Germany 14 490 319 312 173 78 38 720
Henrique Ferraço Scolforo Brazil 17 551 1.1× 311 1.0× 348 1.1× 181 1.0× 50 0.6× 48 764
Rosa C. Goodman Sweden 13 564 1.2× 391 1.2× 365 1.2× 200 1.2× 112 1.4× 22 853
Ervan Rutishauser France 16 594 1.2× 544 1.7× 231 0.7× 154 0.9× 65 0.8× 25 845
Thomas J. Brandeis United States 16 432 0.9× 479 1.5× 148 0.5× 209 1.2× 90 1.2× 44 777
Joachim Saborowski Germany 15 552 1.1× 445 1.4× 305 1.0× 124 0.7× 116 1.5× 32 871
Gangying Hui China 15 861 1.8× 563 1.8× 264 0.8× 142 0.8× 163 2.1× 33 1.0k
Simon Murphy Australia 11 674 1.4× 383 1.2× 647 2.1× 282 1.6× 204 2.6× 14 990
Philippe Santenoise France 10 354 0.7× 203 0.6× 207 0.7× 65 0.4× 101 1.3× 14 485
Adriano José Nogueira Lima Brazil 17 448 0.9× 453 1.4× 130 0.4× 145 0.8× 40 0.5× 57 791
Xiongqing Zhang China 20 677 1.4× 551 1.7× 289 0.9× 102 0.6× 58 0.7× 61 922

Countries citing papers authored by Lutz Fehrmann

Since Specialization
Citations

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

Fields of papers citing papers by Lutz Fehrmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lutz Fehrmann

This figure shows the co-authorship network connecting the top 25 collaborators of Lutz Fehrmann. A scholar is included among the top collaborators of Lutz Fehrmann 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 Lutz Fehrmann. Lutz Fehrmann 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.
Fehrmann, Lutz, et al.. (2024). Discriminating woody species assemblages from National Forest Inventory data based on phylogeny in Georgia. Ecology and Evolution. 14(7). e11569–e11569.
2.
Fehrmann, Lutz, et al.. (2024). Modeling the horizontal distribution of tree crown biomass from terrestrial laser scanning data. The Science of The Total Environment. 952. 175377–175377. 1 indexed citations
3.
Fehrmann, Lutz, et al.. (2024). Modeling a new taper curve and form factor of tree branches using terrestrial laser scanning. Forestry An International Journal of Forest Research. 2 indexed citations
4.
Suarez‐Rubio, Marcela, Paul J. J. Bates, Lutz Fehrmann, et al.. (2023). Bird diversity along an urban to rural gradient in large tropical cities peaks in mid-level urbanization. PeerJ. 11. e16098–e16098. 2 indexed citations
5.
Pérez‐Cruzado, César, Christoph Kleinn, Paul Magdon, et al.. (2021). The Horizontal Distribution of Branch Biomass in European Beech: A Model Based on Measurements and TLS Based Proxies. Remote Sensing. 13(5). 1041–1041. 8 indexed citations
6.
Kleinn, Christoph, Steen Magnussen, Nils Nölke, et al.. (2020). Improving precision of field inventory estimation of aboveground biomass through an alternative view on plot biomass. Forest Ecosystems. 7(1). 13 indexed citations
7.
Magnussen, Steen, Christoph Kleinn, & Lutz Fehrmann. (2020). Wood volume errors from measured and predicted heights. European Journal of Forest Research. 139(2). 169–178. 8 indexed citations
8.
Stiegler, Christian, Alexander Röll, Michaela A. Dippold, et al.. (2020). Flooding and land use change in Jambi Province, Sumatra: integrating local knowledge and scientific inquiry. Ecology and Society. 25(3). 22 indexed citations
9.
Fehrmann, Lutz, Collins B. Kukunda, Nils Nölke, et al.. (2019). A unified framework for land cover monitoring based on a discrete global sampling grid (GSG). Environmental Monitoring and Assessment. 191(2). 46–46. 4 indexed citations
10.
Tang, Xiaolu, César Pérez‐Cruzado, Lutz Fehrmann, et al.. (2016). Development of a Compatible Taper Function and Stand-Level Merchantable Volume Model for Chinese Fir Plantations. PLoS ONE. 11(1). e0147610–e0147610. 32 indexed citations
11.
Tang, Xiaolu, et al.. (2016). Inventory-based estimation of forest biomass in Shitai County, China: A comparison of five methods. Annals of Forest Research. 59(2). 269–280. 14 indexed citations
12.
Melati, Dian Nuraini, I Nengah Surati Jaya, César Pérez‐Cruzado, et al.. (2015). Spatio-temporal analysis on land transformation in a forested tropical landscape in Jambi Province, Sumatra. EGU General Assembly Conference Abstracts. 15014. 4 indexed citations
13.
Ribeiro, Sabina Cerruto, Carlos Pedro Boëchat Soares, Lutz Fehrmann, Laércio Antônio Gonçalves Jacovine, & Klaus von Gadow. (2015). ABOVEGROUND AND BELOWGROUND BIOMASS AND CARBON ESTIMATES FOR CLONAL EUCALYPTUS TREES IN SOUTHEAST BRAZIL. Revista Árvore. 39(2). 353–363. 40 indexed citations
14.
Pérez‐Cruzado, César, Lutz Fehrmann, Paul Magdon, et al.. (2015). On the site-level suitability of biomass models. Environmental Modelling & Software. 73. 14–26. 12 indexed citations
15.
Fehrmann, Lutz, Dominik Seidel, Benjamin Krause, & Christoph Kleinn. (2013). Sampling for landscape elements—a case study from Lower Saxony, Germany. Environmental Monitoring and Assessment. 186(3). 1421–1430. 5 indexed citations
16.
Seidel, Dominik, Christoph Leuschner, Christoph Scherber, et al.. (2013). The relationship between tree species richness, canopy space exploration and productivity in a temperate broad-leaf mixed forest. Forest Ecology and Management. 310. 366–374. 76 indexed citations
17.
Ribeiro, Sabina Cerruto, Lutz Fehrmann, Carlos Pedro Boëchat Soares, et al.. (2011). Above- and belowground biomass in a Brazilian Cerrado. Forest Ecology and Management. 262(3). 491–499. 101 indexed citations
18.
Kleinn, Christoph, et al.. (2010). Issues in forest inventories as an input to planning and decision processes.. 181. 205–210. 2 indexed citations
19.
Kleinn, Christoph, et al.. (2009). About the evaluation of k-tree samples.. 180. 228–237. 1 indexed citations
20.
Yang, Haijun, Christoph Kleinn, Lutz Fehrmann, Shouzheng Tang, & Steen Magnussen. (2009). A new design for sampling with adaptive sample plots. Environmental and Ecological Statistics. 18(2). 223–237. 8 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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