Christoph Kleinn

3.2k total citations
112 papers, 2.1k citations indexed

About

Christoph Kleinn is a scholar working on Environmental Engineering, Nature and Landscape Conservation and Global and Planetary Change. According to data from OpenAlex, Christoph Kleinn has authored 112 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Environmental Engineering, 49 papers in Nature and Landscape Conservation and 49 papers in Global and Planetary Change. Recurrent topics in Christoph Kleinn's work include Remote Sensing and LiDAR Applications (53 papers), Forest ecology and management (42 papers) and Forest Management and Policy (28 papers). Christoph Kleinn is often cited by papers focused on Remote Sensing and LiDAR Applications (53 papers), Forest ecology and management (42 papers) and Forest Management and Policy (28 papers). Christoph Kleinn collaborates with scholars based in Germany, China and Canada. Christoph Kleinn's co-authors include Lutz Fehrmann, Paul Magdon, Nils Nölke, Hans U. Fuchs, Sebastian Schnell, Philip Beckschäfer, Jianchu Xu, Göran Ståhl, Heiner Flessa and Dominik Seidel and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Christoph Kleinn

110 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christoph Kleinn Germany 26 974 943 924 732 226 112 2.1k
Danilo Roberti Alves de Almeida Brazil 28 820 0.8× 773 0.8× 1.1k 1.2× 747 1.0× 145 0.6× 72 2.0k
Ana Paula Dalla Côrte Brazil 21 853 0.9× 430 0.5× 805 0.9× 462 0.6× 171 0.8× 227 1.7k
Erkki Tomppo Finland 21 987 1.0× 1.1k 1.2× 1.0k 1.1× 859 1.2× 122 0.5× 37 2.2k
Xiangdong Lei China 23 1.7k 1.7× 1.7k 1.8× 556 0.6× 427 0.6× 238 1.1× 138 2.7k
Carlos Roberto Sanquetta Brazil 21 1.3k 1.3× 599 0.6× 735 0.8× 437 0.6× 274 1.2× 314 2.1k
Tron Eid Norway 28 1.5k 1.5× 1.3k 1.4× 824 0.9× 375 0.5× 105 0.5× 75 2.3k
José Javier Corral‐Rivas Mexico 22 864 0.9× 672 0.7× 431 0.5× 393 0.5× 96 0.4× 137 1.5k
Matti Katila Finland 16 782 0.8× 821 0.9× 887 1.0× 788 1.1× 82 0.4× 26 1.8k
Rafael Calama Spain 29 1.7k 1.8× 1.4k 1.5× 512 0.6× 461 0.6× 392 1.7× 111 2.4k
Stephanie Bohlman United States 30 1.0k 1.1× 947 1.0× 811 0.9× 1.1k 1.5× 269 1.2× 72 2.6k

Countries citing papers authored by Christoph Kleinn

Since Specialization
Citations

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

Fields of papers citing papers by Christoph Kleinn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christoph Kleinn

This figure shows the co-authorship network connecting the top 25 collaborators of Christoph Kleinn. A scholar is included among the top collaborators of Christoph Kleinn 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 Christoph Kleinn. Christoph Kleinn 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.
Kleinn, Christoph, et al.. (2025). Detection transformer-based approach for mapping trees outside forests on high resolution satellite imagery. Ecological Informatics. 87. 103114–103114. 1 indexed citations
2.
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
3.
Ricker, Martin, et al.. (2022). Mexico’s Forest Diversity: Common Tree Species and Proposed Forest-Vegetation Provinces. Forests. 13(10). 1598–1598. 1 indexed citations
4.
Beckschäfer, Philip, et al.. (2021). Impact of training on different observers in forest inventory. Banko Janakari. 31(1). 12–22. 1 indexed citations
5.
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
6.
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
7.
Kleinn, Christoph, et al.. (2020). L'Inventaire Forestier national en Allemagne: répondre aux besoins d'information liés aux forêts. OpenAgrar. 2 indexed citations
8.
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
9.
Rametsteiner, Ewald, et al.. (2014). User-oriented national forest monitoring planning: a contribution to more policy relevant forest information provision. The International Forestry Review. 16(4). 389–404. 3 indexed citations
10.
Magdon, Paul & Christoph Kleinn. (2012). Uncertainties of forest area estimates caused by the minimum crown cover criterion. Environmental Monitoring and Assessment. 185(6). 5345–5360. 20 indexed citations
11.
Kleinn, Christoph, et al.. (2011). Wood biomass of one gallery forest.. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 1 indexed citations
12.
Kleinn, Christoph, et al.. (2010). Issues in forest inventories as an input to planning and decision processes.. 181. 205–210. 2 indexed citations
13.
Kleinn, Christoph, et al.. (2009). About the evaluation of k-tree samples.. 180. 228–237. 1 indexed citations
14.
Kleinn, Christoph, et al.. (2009). On the potential of kriging for estimation and mapping of forest plantation stock (Case study: Beneshki plantation). SHILAP Revista de lepidopterología. 1 indexed citations
15.
Magnussen, Steen, Nicolas Picard, & Christoph Kleinn. (2008). A gamma-poisson distribution of point to k nearest event distance. Forest Science. 7 indexed citations
16.
Jovel, Juan, Christoph Kleinn, Luko Hilje, & Pilar Ramírez. (2000). Distribución espacio-temporal del virus del moteado amarillo (ToYMoV) en parcelas de tomate, en Turrialba, Costa Rica. 35–44. 2 indexed citations
17.
Jovel, Juan, et al.. (2000). Distribution of spatio-temporal spread of yellow mottle virus (ToYMoV) in tomato plots, in Turrialba, Costa Rica.. 35–44. 1 indexed citations
18.
Jovel, Juan, et al.. (2000). Daily movements of Bemisia tabaci in tomato plots in Turrialba, Costa Rica.. 49–55. 1 indexed citations
19.
Kleinn, Christoph. (2000). Estimating Metrics of Forest Spatial Pattern from Large Area Forest Inventory Cluster Samples. Forest Science. 46(4). 548–557. 23 indexed citations
20.
Paula, José Elias de, et al.. (1995). Biomassa lenhosa de uma floresta de galeria. Pesquisa Agropecuária Brasileira. 30(4). 421–427. 2 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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