Jan Hackenberg

811 total citations
5 papers, 611 citations indexed

About

Jan Hackenberg is a scholar working on Nature and Landscape Conservation, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Jan Hackenberg has authored 5 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Nature and Landscape Conservation, 4 papers in Environmental Engineering and 3 papers in Global and Planetary Change. Recurrent topics in Jan Hackenberg's work include Forest ecology and management (5 papers), Remote Sensing and LiDAR Applications (4 papers) and Plant Water Relations and Carbon Dynamics (3 papers). Jan Hackenberg is often cited by papers focused on Forest ecology and management (5 papers), Remote Sensing and LiDAR Applications (4 papers) and Plant Water Relations and Carbon Dynamics (3 papers). Jan Hackenberg collaborates with scholars based in Germany, United Kingdom and France. Jan Hackenberg's co-authors include Heinrich Spiecker, Mathias Disney, Kim Calders, Pasi Raumonen, Jonathan P. Sheppard, Christopher Morhart, Liubov Volkova, Hans Verbeeck, Laura Duncanson and Daniel Kükenbrink and has published in prestigious journals such as Methods in Ecology and Evolution, Forests and Applied Geomatics.

In The Last Decade

Jan Hackenberg

5 papers receiving 599 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Hackenberg Germany 5 534 461 194 166 150 5 611
Miro Demol Belgium 7 439 0.8× 369 0.8× 151 0.8× 155 0.9× 155 1.0× 10 554
Ville Luoma Finland 14 511 1.0× 369 0.8× 217 1.1× 176 1.1× 119 0.8× 30 601
Louise Terryn Belgium 7 545 1.0× 403 0.9× 177 0.9× 216 1.3× 152 1.0× 23 644
Matheus Boni Vicari United Kingdom 10 556 1.0× 426 0.9× 164 0.8× 254 1.5× 222 1.5× 20 714
Stéphane Momo Takoudjou Cameroon 8 388 0.7× 339 0.7× 109 0.6× 157 0.9× 119 0.8× 14 476
Marius Hauglin Norway 15 565 1.1× 368 0.8× 224 1.2× 238 1.4× 133 0.9× 29 657
Jan Trochta Czechia 7 294 0.6× 210 0.5× 137 0.7× 124 0.7× 93 0.6× 8 453
Daniel Kükenbrink Switzerland 14 516 1.0× 371 0.8× 215 1.1× 212 1.3× 163 1.1× 21 627
Martin Krůček Czechia 8 300 0.6× 230 0.5× 134 0.7× 114 0.7× 96 0.6× 12 430
Jean-François Côté Canada 11 804 1.5× 507 1.1× 197 1.0× 443 2.7× 240 1.6× 20 931

Countries citing papers authored by Jan Hackenberg

Since Specialization
Citations

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

Fields of papers citing papers by Jan Hackenberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Hackenberg

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

All Works

5 of 5 papers shown
1.
Hackenberg, Jan & Jean‐Daniel Bontemps. (2023). Improving quantitative structure models with filters based on allometric scaling theory. Applied Geomatics. 15(4). 1019–1029. 5 indexed citations
2.
Demol, Miro, Hans Verbeeck, Bert Gielen, et al.. (2022). Estimating forest above‐ground biomass with terrestrial laser scanning: Current status and future directions. Methods in Ecology and Evolution. 13(8). 1628–1639. 72 indexed citations
3.
Hackenberg, Jan, et al.. (2015). Non Destructive Method for Biomass Prediction Combining TLS Derived Tree Volume and Wood Density. Forests. 6(4). 1274–1300. 126 indexed citations
4.
Hackenberg, Jan, Heinrich Spiecker, Kim Calders, Mathias Disney, & Pasi Raumonen. (2015). SimpleTree —An Efficient Open Source Tool to Build Tree Models from TLS Clouds. Forests. 6(11). 4245–4294. 264 indexed citations
5.
Hackenberg, Jan, Christopher Morhart, Jonathan P. Sheppard, Heinrich Spiecker, & Mathias Disney. (2014). Highly Accurate Tree Models Derived from Terrestrial Laser Scan Data: A Method Description. Forests. 5(5). 1069–1105. 144 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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