Gerald Kändler

1.6k total citations
38 papers, 1.0k citations indexed

About

Gerald Kändler is a scholar working on Global and Planetary Change, Nature and Landscape Conservation and Environmental Engineering. According to data from OpenAlex, Gerald Kändler has authored 38 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Global and Planetary Change, 26 papers in Nature and Landscape Conservation and 11 papers in Environmental Engineering. Recurrent topics in Gerald Kändler's work include Forest ecology and management (22 papers), Forest Management and Policy (20 papers) and Remote Sensing and LiDAR Applications (11 papers). Gerald Kändler is often cited by papers focused on Forest ecology and management (22 papers), Forest Management and Policy (20 papers) and Remote Sensing and LiDAR Applications (11 papers). Gerald Kändler collaborates with scholars based in Germany, Finland and Spain. Gerald Kändler's co-authors include Johannes Breidenbach, Marc Hanewinkel, Edgar Kublin, Jürgen Zell, Aleksi Lehtonen, Ulrich Kohnle, Sophia Ratcliffe, Paloma Ruiz‐Benito, Miguel Á. Zavala and Matthias Schmidt and has published in prestigious journals such as Scientific Reports, Global Change Biology and Journal of Environmental Management.

In The Last Decade

Gerald Kändler

38 papers receiving 998 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gerald Kändler Germany 20 656 568 297 294 245 38 1.0k
Icíar Alberdi Spain 19 778 1.2× 768 1.4× 387 1.3× 272 0.9× 397 1.6× 61 1.3k
Tzvetan Zlatanov Bulgaria 17 650 1.0× 606 1.1× 127 0.4× 187 0.6× 176 0.7× 46 1.0k
Mark C. Vanderwel Canada 21 789 1.2× 861 1.5× 159 0.5× 450 1.5× 378 1.5× 43 1.4k
Sonia Condés Spain 24 1.3k 2.0× 961 1.7× 653 2.2× 392 1.3× 304 1.2× 51 1.7k
Michał Zasada Poland 16 587 0.9× 461 0.8× 263 0.9× 139 0.5× 144 0.6× 69 866
Klemens Schadauer Austria 20 706 1.1× 580 1.0× 616 2.1× 270 0.9× 372 1.5× 35 1.1k
Emily R. Lines United Kingdom 13 808 1.2× 693 1.2× 199 0.7× 177 0.6× 80 0.3× 27 1.0k
Jeff W. Atkins United States 20 689 1.1× 593 1.0× 381 1.3× 398 1.4× 198 0.8× 60 1.1k
Kamil Bielak Poland 17 1.0k 1.5× 817 1.4× 134 0.5× 130 0.4× 279 1.1× 50 1.3k
Gangying Hui China 15 861 1.3× 563 1.0× 264 0.9× 142 0.5× 163 0.7× 33 1.0k

Countries citing papers authored by Gerald Kändler

Since Specialization
Citations

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

Fields of papers citing papers by Gerald Kändler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerald Kändler

This figure shows the co-authorship network connecting the top 25 collaborators of Gerald Kändler. A scholar is included among the top collaborators of Gerald Kändler 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 Gerald Kändler. Gerald Kändler 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.
Suvanto, Susanne, Adriane Esquivel‐Muelbert, Mart‐Jan Schelhaas, et al.. (2025). Understanding Europe's Forest Harvesting Regimes. Earth s Future. 13(2). 5 indexed citations
2.
Kändler, Gerald, et al.. (2023). Evaluating retention forestry 10 years after its introduction in temperate forests regarding the provision of tree-related microhabitats and dead wood. European Journal of Forest Research. 142(5). 1125–1147. 8 indexed citations
3.
4.
Kleinn, Christoph, et al.. (2020). L'Inventaire Forestier national en Allemagne: répondre aux besoins d'information liés aux forêts. OpenAgrar. 2 indexed citations
5.
Dietrich, Helge, Tobias Kawohl, Jan Wehberg, et al.. (2019). Temporal and spatial high-resolution climate data from 1961 to 2100 for the German National Forest Inventory (NFI). Annals of Forest Science. 76(1). 22 indexed citations
6.
Kändler, Gerald, et al.. (2019). Assessing the influence of harvesting intensities on structural diversity of forests in south-west Germany. Forest Ecosystems. 6(1). 9 indexed citations
7.
Kändler, Gerald, et al.. (2018). Designing Wood Supply Scenarios from Forest Inventories with Stratified Predictions. Forests. 9(2). 77–77. 8 indexed citations
8.
Schack‐Kirchner, Helmer, et al.. (2017). Available Nutrients Can Accumulate in Permanent Skid Trails. Forests. 8(10). 358–358. 6 indexed citations
9.
Magnussen, Steen, Francisco Mauro, Johannes Breidenbach, Adrian Lanz, & Gerald Kändler. (2017). Area-level analysis of forest inventory variables. European Journal of Forest Research. 136(5-6). 839–855. 19 indexed citations
10.
Riedel, Thomas & Gerald Kändler. (2017). Nationale Treibhausgasberichterstattung: Neue Funktionen zur Schätzung der oberirdischen Biomasse am Einzelbaum. OpenAgrar. 88(2). 31–38. 6 indexed citations
11.
Barreiro, Susana, Mart‐Jan Schelhaas, Ronald E. McRoberts, & Gerald Kändler. (2017). Forest Inventory-based Projection Systems for Wood and Biomass Availability. Socio-Environmental Systems Modeling. 30 indexed citations
12.
Madrigal‐González, Jaime, Paloma Ruiz‐Benito, Sophia Ratcliffe, et al.. (2016). Complementarity effects on tree growth are contingent on tree size and climatic conditions across Europe. Scientific Reports. 6(1). 32233–32233. 44 indexed citations
13.
14.
Ruiz‐Benito, Paloma, Sophia Ratcliffe, Alistair S. Jump, et al.. (2016). Functional diversity underlies demographic responses to environmental variation in European forests. Global Ecology and Biogeography. 26(2). 128–141. 51 indexed citations
15.
Schack‐Kirchner, Helmer, et al.. (2015). Phosphorus in accumulated harvest residues on skid trails. Forest Ecology and Management. 356. 136–143. 7 indexed citations
16.
Hanewinkel, Marc, et al.. (2014). Converting probabilistic tree species range shift projections into meaningful classes for management. Journal of Environmental Management. 134. 153–165. 25 indexed citations
17.
Kublin, Edgar, Johannes Breidenbach, & Gerald Kändler. (2013). A flexible stem taper and volume prediction method based on mixed-effects B-spline regression. European Journal of Forest Research. 132(5-6). 983–997. 41 indexed citations
18.
Heikkinen, Juha, Erkki Tomppo, Alexandra Freudenschuß, et al.. (2012). Interpolating and Extrapolating Information from Periodic Forest Surveys for Annual Greenhouse Gas Reporting. Forest Science. 58(3). 236–247. 8 indexed citations
19.
Schmidt, Matthias & Gerald Kändler. (2009). An analysis of Norway spruce stem quality in Baden-Württemberg: results from the second German national forest inventory. European Journal of Forest Research. 128(5). 515–529. 6 indexed citations
20.
Kohnle, Ulrich & Gerald Kändler. (2006). Is Silver fir (Abies alba) less vulnerable to extraction damage than Norway spruce (Picea abies)?. European Journal of Forest Research. 126(1). 121–129. 11 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Icíar Alberdi Breakdown of academic impact, for papers by Tzvetan Zlatanov Breakdown of academic impact, for papers by Mark C. Vanderwel Breakdown of academic impact, for papers by Sonia Condés Breakdown of academic impact, for papers by Michał Zasada Breakdown of academic impact, for papers by Klemens Schadauer Breakdown of academic impact, for papers by Emily R. Lines Breakdown of academic impact, for papers by Jeff W. Atkins Breakdown of academic impact, for papers by Kamil Bielak Breakdown of academic impact, for papers by Gangying Hui
Rankless by CCL
2026