Jan Lehmann

512 total citations
15 papers, 364 citations indexed

About

Jan Lehmann is a scholar working on Ecology, Environmental Engineering and Plant Science. According to data from OpenAlex, Jan Lehmann has authored 15 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Ecology, 4 papers in Environmental Engineering and 3 papers in Plant Science. Recurrent topics in Jan Lehmann's work include Remote Sensing in Agriculture (4 papers), Remote Sensing and LiDAR Applications (4 papers) and Wildlife-Road Interactions and Conservation (3 papers). Jan Lehmann is often cited by papers focused on Remote Sensing in Agriculture (4 papers), Remote Sensing and LiDAR Applications (4 papers) and Wildlife-Road Interactions and Conservation (3 papers). Jan Lehmann collaborates with scholars based in Germany, United Kingdom and Portugal. Jan Lehmann's co-authors include Torsten Prinz, Christian Knoth, Jens Oldeland, André Große‐Stoltenberg, João Augusto Alves Meira‐Neto, J. Thiele, Gustavo Heringer, Sílvia Renate Ziller, Christian Blodau and Verónica Pancotto and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Remote Sensing.

In The Last Decade

Jan Lehmann

15 papers receiving 353 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 Lehmann Germany 8 246 151 77 73 50 15 364
Langning Huo Sweden 10 385 1.6× 213 1.4× 110 1.4× 128 1.8× 47 0.9× 25 505
Maximo Larry Lopez Caceres Japan 11 163 0.7× 187 1.2× 70 0.9× 118 1.6× 30 0.6× 28 381
Carla Luciane Lima Brazil 6 189 0.8× 157 1.0× 30 0.4× 72 1.0× 43 0.9× 19 321
Laura Poikolainen Finland 6 156 0.6× 145 1.0× 28 0.4× 101 1.4× 42 0.8× 6 300
Adam Kania Austria 11 274 1.1× 163 1.1× 50 0.6× 105 1.4× 116 2.3× 17 373
Sarah Kentsch Japan 7 132 0.5× 161 1.1× 46 0.6× 56 0.8× 25 0.5× 9 315
Niko Koivumäki Finland 10 181 0.7× 79 0.5× 79 1.0× 108 1.5× 20 0.4× 22 297
Kyle R. Kovach United States 6 114 0.5× 93 0.6× 46 0.6× 102 1.4× 20 0.4× 13 253
Samuli Junttila Finland 16 263 1.1× 303 2.0× 103 1.3× 175 2.4× 31 0.6× 40 532
Elias Fernando Berra Brazil 10 302 1.2× 252 1.7× 57 0.7× 155 2.1× 87 1.7× 21 449

Countries citing papers authored by Jan Lehmann

Since Specialization
Citations

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

Fields of papers citing papers by Jan Lehmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Lehmann

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

All Works

15 of 15 papers shown
1.
Ludwig, Marvin, Bjorn J. M. Robroek, Mariusz Lamentowicz, et al.. (2024). Recent trends in moisture conditions across European peatlands. Remote Sensing Applications Society and Environment. 37. 101385–101385. 2 indexed citations
2.
Oldeland, Jens, et al.. (2021). New tools for old problems — comparing drone- and field-based assessments of a problematic plant species. Environmental Monitoring and Assessment. 193(2). 90–90. 19 indexed citations
3.
Lehmann, Jan, et al.. (2021). Using drone imagery to upscale estimates of water capacity in tank bromeliads on steep neotropical inselbergs. Austral Ecology. 47(2). 196–202. 3 indexed citations
4.
Garrido‐Benavent, Isaac, Jorge Durán, Jan Lehmann, et al.. (2021). Are recently deglaciated areas at both poles colonised by the same bacteria?. FEMS Microbiology Letters. 368(3). 3 indexed citations
5.
Heringer, Gustavo, J. Thiele, Cibele Hummel do Amaral, et al.. (2020). Acacia invasion is facilitated by landscape permeability: The role of habitat degradation and road networks. Applied Vegetation Science. 23(4). 598–609. 13 indexed citations
6.
Durán, Jorge, Alexandra Rodríguez, Starri Heiðmarsson, et al.. (2020). Cryptogamic cover determines soil attributes and functioning in polar terrestrial ecosystems. The Science of The Total Environment. 762. 143169–143169. 13 indexed citations
7.
Lehmann, Jan, et al.. (2019). Recognize the Little Ones: UAS-Based In-Situ Fluorescent Tracer Detection. Drones. 3(1). 20–20. 1 indexed citations
8.
Shrestha, Surendra, et al.. (2019). DETERMINATION OF SURFACE VELOCITY OF A RIVER USING VIDEOS CAPTURED FROM UNMANNED AERIAL SYSTEM (UAS). SHILAP Revista de lepidopterología. XLII-2/W13. 597–600. 2 indexed citations
9.
10.
Lehmann, Jan, Torsten Prinz, Sílvia Renate Ziller, et al.. (2017). Open-Source Processing and Analysis of Aerial Imagery Acquired with a Low-Cost Unmanned Aerial System to Support Invasive Plant Management. Frontiers in Environmental Science. 5. 56 indexed citations
11.
Lehmann, Jan, et al.. (2016). Pulse-Shape Control in an All Fiber Multi-Wavelength Doppler Lidar. SHILAP Revista de lepidopterología. 119. 17013–17013. 1 indexed citations
12.
Lehmann, Jan, Christian Knoth, Christian Blodau, et al.. (2016). High-Resolution Classification of South Patagonian Peat Bog Microforms Reveals Potential Gaps in Up-Scaled CH4 Fluxes by use of Unmanned Aerial System (UAS) and CIR Imagery. Remote Sensing. 8(3). 173–173. 47 indexed citations
13.
Lehmann, Jan, et al.. (2015). Analysis of Unmanned Aerial System-Based CIR Images in Forestry—A New Perspective to Monitor Pest Infestation Levels. Forests. 6(3). 594–612. 130 indexed citations
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15.

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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