Sören Hese

1.2k total citations
42 papers, 899 citations indexed

About

Sören Hese is a scholar working on Environmental Engineering, Ecology and Global and Planetary Change. According to data from OpenAlex, Sören Hese has authored 42 papers receiving a total of 899 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Environmental Engineering, 17 papers in Ecology and 17 papers in Global and Planetary Change. Recurrent topics in Sören Hese's work include Remote Sensing and LiDAR Applications (16 papers), Remote Sensing in Agriculture (15 papers) and Land Use and Ecosystem Services (11 papers). Sören Hese is often cited by papers focused on Remote Sensing and LiDAR Applications (16 papers), Remote Sensing in Agriculture (15 papers) and Land Use and Ecosystem Services (11 papers). Sören Hese collaborates with scholars based in Germany, United States and United Kingdom. Sören Hese's co-authors include Christian Berger, Michael Voltersen, Christiane Schmullius, C. Schmullius, M. J. Barnsley, Wolfgang Lucht, Kathleen Neumann, Dietrich Knorr, Ralph Dubayah and Christian Thiel and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Sören Hese

41 papers receiving 833 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sören Hese Germany 14 514 410 248 208 206 42 899
Kerry Cawse‐Nicholson United States 17 532 1.0× 335 0.8× 171 0.7× 126 0.6× 254 1.2× 55 906
Zina Mitraka Greece 16 685 1.3× 574 1.4× 276 1.1× 160 0.8× 360 1.7× 55 1.1k
Qingling Zhang China 10 678 1.3× 1.1k 2.7× 253 1.0× 81 0.4× 485 2.4× 21 1.6k
C. Schmullius Germany 11 503 1.0× 308 0.8× 201 0.8× 42 0.2× 185 0.9× 33 715
Xiaobin Guan China 16 302 0.6× 543 1.3× 235 0.9× 161 0.8× 513 2.5× 46 1.0k
L.L.F. Janssen Netherlands 10 302 0.6× 313 0.8× 193 0.8× 199 1.0× 382 1.9× 24 820
Kotaro Iizuka Japan 14 321 0.6× 329 0.8× 90 0.4× 90 0.4× 263 1.3× 27 694
Jingli Yan China 17 548 1.1× 558 1.4× 274 1.1× 193 0.9× 307 1.5× 33 1.2k
Nicolas Lauret France 17 874 1.7× 575 1.4× 146 0.6× 55 0.3× 907 4.4× 50 1.3k
Abderrahim Nemmaoui Spain 14 245 0.5× 310 0.8× 58 0.2× 115 0.6× 339 1.6× 30 564

Countries citing papers authored by Sören Hese

Since Specialization
Citations

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

Fields of papers citing papers by Sören Hese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sören Hese

This figure shows the co-authorship network connecting the top 25 collaborators of Sören Hese. A scholar is included among the top collaborators of Sören Hese 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 Sören Hese. Sören Hese 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.
Hese, Sören, et al.. (2025). Assessing data and sample complexity in unmanned aerial vehicle imagery for agricultural pattern classification. Smart Agricultural Technology. 10. 100799–100799. 1 indexed citations
2.
Hese, Sören, et al.. (2025). ChatGPT as a data analyst: an exploratory study on AI-supported quantitative data analysis in empirical research. Frontiers in Education. 9. 4 indexed citations
3.
Polemiti, Elli, Sören Hese, Kerstin Schepanski, Jiacan Yuan, & Günter Schumann. (2024). How does the macroenvironment influence brain and behaviour—a review of current status and future perspectives. Molecular Psychiatry. 29(10). 3268–3286. 16 indexed citations
4.
Hese, Sören, et al.. (2023). Novel UAV Flight Designs for Accuracy Optimization of Structure from Motion Data Products. Remote Sensing. 15(17). 4308–4308. 10 indexed citations
5.
Jagdhuber, Thomas, Sören Hese, Marcel Urban, et al.. (2023). Potential of Sentinel-1 SAR to Assess Damage in Drought-Affected Temperate Deciduous Broadleaf Forests. Remote Sensing. 15(4). 1004–1004. 15 indexed citations
6.
Bachmann, Felix, et al.. (2023). Tree Stem Detection and Crown Delineation in a Structurally Diverse Deciduous Forest Combining Leaf-On and Leaf-Off UAV-SfM Data. Remote Sensing. 15(18). 4366–4366. 9 indexed citations
7.
Schmidt, Gerd, et al.. (2019). Estimation of regional soil organic carbon stocks merging classified land-use information with detailed soil data. The Science of The Total Environment. 695. 133755–133755. 20 indexed citations
8.
Mustafa, Osama, et al.. (2019). INTRASEASONAL VARIABILITY OF GUANO STAINS IN A REMOTELY SENSED PENGUIN COLONY USING UAV AND SATELLITE. SHILAP Revista de lepidopterología. IV-2/W5. 111–118. 5 indexed citations
9.
Hese, Sören, et al.. (2019). UAV BASED MULTI SEASONAL DECIDUOUS TREE SPECIES ANALYSIS IN THE HAINICH NATIONAL PARK USING MULTI TEMPORAL AND POINT CLOUD CURVATURE FEATURES. SHILAP Revista de lepidopterología. XLII-2/W13. 363–370. 4 indexed citations
10.
Hese, Sören, et al.. (2015). Earth observation data based rapid flood-extent modelling for tsunami-devastated coastal areas. International Journal of Applied Earth Observation and Geoinformation. 46. 63–83. 1 indexed citations
11.
Voltersen, Michael, et al.. (2015). Expanding an urban structure type mapping approach from a subarea to the entire city of Berlin. 34. 1–4. 8 indexed citations
12.
Hese, Sören, et al.. (2014). From land cover-graphs to urban structure types. International Journal of Geographical Information Systems. 28(3). 584–609. 57 indexed citations
13.
Hese, Sören, et al.. (2013). LAND COVER CLASSIFICATION OF SATELLITE IMAGES USING CONTEXTUAL INFORMATION. SHILAP Revista de lepidopterología. II-3/W1. 1–6. 39 indexed citations
14.
Hese, Sören, et al.. (2012). GRAPH BASED MAPPING OF URBAN STRUCTURE TYPES FROM HIGH RESOLUTION SATELLITE IMAGE OBJECTS. Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research). 2 indexed citations
15.
Urban, Marcel, et al.. (2010). Synergistic Analysis of Coarse Resolution Vegetation and Land Cover Data for Permafrost Monitoring. Socio-Environmental Systems Modeling. 686. 399. 2 indexed citations
16.
Hese, Sören, et al.. (2010). High Resolution Vegetation and Water Body Mapping in Arctic Permafrost Regions. Socio-Environmental Systems Modeling. 686. 117. 2 indexed citations
17.
Hese, Sören & Christiane Schmullius. (2009). High spatial resolution image object classification for terrestrial oil spill contamination mapping in West Siberia. International Journal of Applied Earth Observation and Geoinformation. 11(2). 130–141. 30 indexed citations
18.
Hese, Sören, Wolfgang Lucht, C. Schmullius, et al.. (2004). Global biomass mapping for an improved understanding of the CO2 balance—the Earth observation mission Carbon-3D. Remote Sensing of Environment. 94(1). 94–104. 104 indexed citations
19.
Hese, Sören, et al.. (2003). SIBERIA-II: A Multi-Sensor Approach for Greenhouse Gas Accounting in Northern Eurasia. 147(6). 4–5. 6 indexed citations
20.
Hese, Sören & Frank Lehmann. (2000). COMPARISON OF DIGITAL STAND SURFACE MODELS OF HRSC-A (HIGH RESOLUTION STEREO CAMERA - AIRBORNE) AND LASER SCANNER FOR FOREST STAND CHARACTERISTICS. 3 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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