Patrick Jantz

3.8k total citations · 3 hit papers
41 papers, 2.2k citations indexed

About

Patrick Jantz is a scholar working on Global and Planetary Change, Ecology and Environmental Engineering. According to data from OpenAlex, Patrick Jantz has authored 41 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Global and Planetary Change, 21 papers in Ecology and 14 papers in Environmental Engineering. Recurrent topics in Patrick Jantz's work include Remote Sensing in Agriculture (12 papers), Species Distribution and Climate Change (12 papers) and Remote Sensing and LiDAR Applications (11 papers). Patrick Jantz is often cited by papers focused on Remote Sensing in Agriculture (12 papers), Species Distribution and Climate Change (12 papers) and Remote Sensing and LiDAR Applications (11 papers). Patrick Jantz collaborates with scholars based in United States, Colombia and Canada. Patrick Jantz's co-authors include S. J. Goetz, Claire A. Jantz, Laura Duncanson, Ralph Dubayah, Steven Hancock, Matthew C. Hansen, Logan T. Berner, Hao Tang, Wenlu Qi and Carlos Silva and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Patrick Jantz

36 papers receiving 2.1k citations

Hit Papers

The Global Ecosystem Dynamics Investigation: High-resolut... 2020 2026 2022 2024 2020 2020 2020 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patrick Jantz United States 18 1.1k 1.0k 790 601 393 41 2.2k
Marcos Longo United States 30 2.5k 2.3× 1.1k 1.0× 585 0.7× 987 1.6× 753 1.9× 75 3.3k
Steven R. Schill United States 22 694 0.6× 795 0.8× 478 0.6× 259 0.4× 223 0.6× 51 1.7k
Jeffrey A. Cardille Canada 25 1.5k 1.4× 1.2k 1.2× 397 0.5× 353 0.6× 236 0.6× 67 2.5k
Saurabh Channan United States 17 1.7k 1.6× 1.3k 1.3× 996 1.3× 224 0.4× 461 1.2× 29 2.5k
Todd R. Lookingbill United States 22 916 0.9× 981 1.0× 238 0.3× 566 0.9× 217 0.6× 43 1.8k
Terry L. Sohl United States 28 1.9k 1.7× 1.2k 1.2× 424 0.5× 367 0.6× 347 0.9× 61 2.8k
Timo Kumpula Finland 26 881 0.8× 911 0.9× 440 0.6× 223 0.4× 1.0k 2.6× 74 2.6k
Emanuel Gloor United Kingdom 29 2.2k 2.1× 818 0.8× 355 0.4× 897 1.5× 1.0k 2.6× 55 3.3k
Laurel G. Larsen United States 30 978 0.9× 1.3k 1.3× 432 0.5× 428 0.7× 436 1.1× 67 2.7k
Xiaowei Tong China 19 1.7k 1.6× 1.1k 1.1× 387 0.5× 417 0.7× 495 1.3× 33 2.6k

Countries citing papers authored by Patrick Jantz

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Jantz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrick Jantz

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick Jantz. A scholar is included among the top collaborators of Patrick Jantz 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 Patrick Jantz. Patrick Jantz 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.
Jantz, Patrick, et al.. (2025). Maps of forest vertical structure for Colombia, a megadiverse country. Scientific Data. 13(1). 1–1.
3.
Cushman, Samuel A., Żaneta Kaszta, Patrick Burns, et al.. (2024). Simulating multi-scale optimization and variable selection in species distribution modeling. Ecological Informatics. 83. 102832–102832. 3 indexed citations
4.
Burns, Patrick, Andrew J. Abraham, Patrick Jantz, et al.. (2024). Using multiscale lidar to determine variation in canopy structure from African forest elephant trails. Remote Sensing in Ecology and Conservation. 10(5). 655–667. 3 indexed citations
5.
Burns, Patrick, et al.. (2024). Soundscape mapping: understanding regional spatial and temporal patterns of soundscapes incorporating remotely-sensed predictors and wildfire disturbance. SHILAP Revista de lepidopterología. 3(2). 25002–25002. 5 indexed citations
6.
Wan, Ho Yi, et al.. (2024). Variability in habitat selection between herds for a widespread ungulate. Ecological Modelling. 501. 110991–110991.
7.
Hansen, Andrew J., et al.. (2024). Validation and Error Minimization of Global Ecosystem Dynamics Investigation (GEDI) Relative Height Metrics in the Amazon. Remote Sensing. 16(19). 3550–3550. 4 indexed citations
8.
Pillay, Rajeev, James Watson, Andrew J. Hansen, et al.. (2024). Global rarity of high-integrity tropical rainforests for threatened and declining terrestrial vertebrates. Proceedings of the National Academy of Sciences. 121(51). e2413325121–e2413325121. 6 indexed citations
9.
Pillay, Rajeev, James Watson, S. J. Goetz, et al.. (2024). The Kunming-Montreal Global Biodiversity Framework needs headline indicators that can actually monitor forest integrity. SHILAP Revista de lepidopterología. 3(4). 43001–43001. 3 indexed citations
10.
Jantz, Patrick, et al.. (2024). Mapping Tropical Dry Forest Gradients in an Andean Region with High Environmental Variability. Ecological Indicators. 168. 112744–112744. 1 indexed citations
12.
Hakkenberg, Christopher R., Jeff W. Atkins, Jedediah F. Brodie, et al.. (2023). Inferring alpha, beta, and gamma plant diversity across biomes with GEDI spaceborne lidar. SHILAP Revista de lepidopterología. 2(3). 35005–35005. 11 indexed citations
13.
Rodríguez‐Buriticá, Susana, et al.. (2023). Advancing High-Resolution Land Cover Mapping in Colombia: The Importance of a Locally Appropriate Legend. Remote Sensing. 15(10). 2522–2522. 6 indexed citations
14.
Doughty, Christopher E., Patrick Burns, Andrew J. Abraham, et al.. (2023). Tropical forests are mainly unstratified especially in Amazonia and regions with lower fertility or higher temperatures. SHILAP Revista de lepidopterología. 2(3). 35002–35002. 5 indexed citations
15.
Dutta, Anwesha, et al.. (2021). Forest livelihoods and a “green recovery” from the COVID-19 pandemic: Insights and emerging research priorities from India. Forest Policy and Economics. 131. 102550–102550. 27 indexed citations
16.
Berner, Logan T., Richard Massey, Patrick Jantz, et al.. (2020). Summer warming explains widespread but not uniform greening in the Arctic tundra biome. Nature Communications. 11(1). 4621–4621. 265 indexed citations breakdown →
17.
Burns, Patrick, Matthew L. Clark, Leonardo Salas, et al.. (2020). Incorporating canopy structure from simulated GEDI lidar into bird species distribution models. Environmental Research Letters. 15(9). 95002–95002. 46 indexed citations
18.
Hansen, Andrew J., Kevin Barnett, Patrick Jantz, et al.. (2019). Global humid tropics forest structural condition and forest structural integrity maps. Scientific Data. 6(1). 232–232. 48 indexed citations
19.
Goetz, S. J., et al.. (2005). Resource Land Loss and Forest Vulnerability in the Chesapeake Bay Watershed. Digital Repository at the University of Maryland (University of Maryland College Park). 2 indexed citations
20.
Jantz, Patrick, S. J. Goetz, & Claire A. Jantz. (2005). Urbanization and the Loss of Resource Lands in the Chesapeake Bay Watershed. Environmental Management. 36(6). 808–825. 105 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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