Marco Heurich

16.1k total citations · 1 hit paper
308 papers, 8.9k citations indexed

About

Marco Heurich is a scholar working on Ecology, Nature and Landscape Conservation and Environmental Engineering. According to data from OpenAlex, Marco Heurich has authored 308 papers receiving a total of 8.9k indexed citations (citations by other indexed papers that have themselves been cited), including 215 papers in Ecology, 83 papers in Nature and Landscape Conservation and 83 papers in Environmental Engineering. Recurrent topics in Marco Heurich's work include Wildlife Ecology and Conservation (131 papers), Remote Sensing and LiDAR Applications (80 papers) and Forest Ecology and Biodiversity Studies (73 papers). Marco Heurich is often cited by papers focused on Wildlife Ecology and Conservation (131 papers), Remote Sensing and LiDAR Applications (80 papers) and Forest Ecology and Biodiversity Studies (73 papers). Marco Heurich collaborates with scholars based in Germany, Norway and Netherlands. Marco Heurich's co-authors include Andrew K. Skidmore, Peter Krzystek, Jörg Müller, Wei Yao, Roshanak Darvishzadeh, Angela Lausch, Tiejun Wang, Lorenz Fahse, Haidi Abdullah and Claus Bässler and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Ecology.

In The Last Decade

Marco Heurich

291 papers receiving 8.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Biodiversity along temperate forest succession

2018 232 citations Torben Hilmers, Claus Bässler et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marco Heurich Germany	53	6.1k	2.8k	2.4k	2.3k	1.8k	308	8.9k
Lee A. Vierling United States	51	4.6k 0.8×	3.6k 1.3×	2.9k 1.2×	2.2k 1.0×	915 0.5×	146	8.4k
David J. Mladenoff United States	60	4.5k 0.7×	947 0.3×	6.5k 2.7×	5.5k 2.4×	1.7k 0.9×	180	10.8k
Scott E. Nielsen Canada	43	8.0k 1.3×	557 0.2×	2.6k 1.1×	2.7k 1.2×	403 0.2×	216	10.1k
P. R. Moorcroft United States	51	3.7k 0.6×	800 0.3×	4.9k 2.0×	2.7k 1.2×	218 0.1×	104	8.4k
James Wickham United States	45	6.3k 1.0×	2.6k 0.9×	7.4k 3.1×	2.6k 1.2×	353 0.2×	117	13.0k
Jörg Müller Germany	62	5.8k 0.9×	1.1k 0.4×	3.6k 1.5×	4.0k 1.7×	6.7k 3.8×	342	13.0k
Karen H. Beard United States	36	3.4k 0.6×	741 0.3×	3.0k 1.3×	3.1k 1.4×	379 0.2×	135	8.9k
Gil Bohrer United States	55	4.4k 0.7×	1.1k 0.4×	6.5k 2.7×	2.5k 1.1×	263 0.1×	166	10.8k
H.H.T. Prins Netherlands	68	9.2k 1.5×	590 0.2×	4.3k 1.8×	5.4k 2.4×	367 0.2×	407	16.8k
David M. Theobald United States	55	5.0k 0.8×	760 0.3×	5.1k 2.1×	2.0k 0.9×	182 0.1×	120	9.9k

Countries citing papers authored by Marco Heurich

Since Specialization

Citations

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

Fields of papers citing papers by Marco Heurich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Heurich

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

All Works

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20 of 20 papers shown

Quan, Rui‐Chang, et al.. (2025). Human and apex predators shape lower trophic levels through top-down control. Biological Conservation. 310. 111352–111352.

Abdullah, Haidi, Elnaz Neinavaz, Roshanak Darvishzadeh, et al.. (2025). Integrating process-based vegetation modelling with high-resolution imagery to assess bark beetle infestation and land surface temperature effects on forest net primary productivity. Remote Sensing Applications Society and Environment. 37. 101499–101499.

Schneider, Anja, Jürgen M. Stein, Virginie Masserey Spicher, et al.. (2025). Camera traps and deep learning enable efficient large‐scale density estimation of wildlife in temperate forest ecosystems. Remote Sensing in Ecology and Conservation. 12(1). 148–163.

Skidmore, Andrew K., et al.. (2025). Investigating LiDAR Metrics for Old-Growth Beech- and Spruce-Dominated Forest Identification in Central Europe. Remote Sensing. 17(2). 251–251. 1 indexed citations

Hulva, Pavel, et al.. (2024). Genetic admixture between Central European and Alpine wolf populations. Wildlife Biology. 2024(6). 2 indexed citations

Probst, Carolina, et al.. (2024). Scavenger-induced scattering of wild boar carcasses over large distances and its implications for disease management. Journal of Environmental Management. 365. 121554–121554. 1 indexed citations

Budde, Katharina B., et al.. (2024). Genetic variation of English yew (Taxus baccata L.) in the Bavarian Forest National Park, Germany. European Journal of Forest Research. 143(4). 1249–1265. 2 indexed citations

Hoermann, Christian von, M. Eric Benbow, Heike Feldhaar, et al.. (2024). Mechanisms determining the multi-diversity of carrion visiting species along a gradient of carrion body mass. Oecologia. 206(1-2). 115–126. 2 indexed citations

Hoermann, Christian von, Johannes Signer, Elisa Belotti, et al.. (2024). Risk response towards roads is consistent across multiple species in a temperate forest ecosystem. Oikos. 2024(7). 3 indexed citations

10.

Müller, Jörg, Christian von Hoermann, Franz J. Conraths, et al.. (2024). Season, decay stage, habitat, temperature and carrion beetles allow estimating the post‐mortem interval of wild boar carcasses. SHILAP Revista de lepidopterología. 5(1). 4 indexed citations

11.

Hoermann, Christian von, et al.. (2023). Drone-Based Thermal Imaging in the Detection of Wildlife Carcasses and Disease Management. Transboundary and Emerging Diseases. 2023. 1–12. 16 indexed citations

12.

Edelhoff, Hendrik, et al.. (2023). Automated visitor and wildlife monitoring with camera traps and machine learning. Remote Sensing in Ecology and Conservation. 10(2). 236–247. 13 indexed citations

13.

Zedrosser, Andreas, et al.. (2023). Walking on the dark side: Anthropogenic factors limit suitable habitat for gray wolf (Canis lupus) in a large natural area covering Belarus and Ukraine. Global Ecology and Conservation. 46. e02586–e02586. 5 indexed citations

14.

Niedballa, Jürgen, Jan Axtner, Andrew Tilker, et al.. (2022). imageseg: An R package for deep learning‐based image segmentation. Methods in Ecology and Evolution. 13(11). 2363–2371. 9 indexed citations

15.

Gatiso, Tsegaye T., Lars Kulik, Aletta Bonn, et al.. (2022). Effectiveness of protected areas influenced by socio-economic context. Nature Sustainability. 5(10). 861–868. 31 indexed citations

16.

Manakos, Ioannis, et al.. (2022). A Learnable Model With Calibrated Uncertainty Quantification for Estimating Canopy Height From Spaceborne Sequential Imagery. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–13. 10 indexed citations

17.

Ali, Abebe Mohammed, Haidi Abdullah, Roshanak Darvishzadeh, et al.. (2021). Canopy chlorophyll content retrieved from time series remote sensing data as a proxy for detecting bark beetle infestation. Remote Sensing Applications Society and Environment. 22. 100524–100524. 15 indexed citations

18.

Latifi, Hooman, Stefanie Holzwarth, Andrew K. Skidmore, et al.. (2021). A laboratory for conceiving Essential Biodiversity Variables (EBVs)—The ‘Data pool initiative for the Bohemian Forest Ecosystem’. Methods in Ecology and Evolution. 12(11). 2073–2083. 19 indexed citations

19.

Sommerfeld, Andreas, Werner Rammer, Marco Heurich, et al.. (2020). Do bark beetle outbreaks amplify or dampen future bark beetle disturbances in Central Europe?. Journal of Ecology. 109(2). 737–749. 80 indexed citations

20.

Yao, Wei, Peter Krzystek, & Marco Heurich. (2012). IDENTIFYING STANDING DEAD TREES IN FOREST AREAS BASED ON 3D SINGLE TREE DETECTION FROM FULL WAVEFORM LIDAR DATA. SHILAP Revista de lepidopterología. I-7. 359–364. 40 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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