R. Boesch

1.2k total citations
26 papers, 827 citations indexed

About

R. Boesch is a scholar working on Environmental Engineering, Ecology and Nature and Landscape Conservation. According to data from OpenAlex, R. Boesch has authored 26 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Environmental Engineering, 14 papers in Ecology and 5 papers in Nature and Landscape Conservation. Recurrent topics in R. Boesch's work include Remote Sensing and LiDAR Applications (15 papers), Remote Sensing in Agriculture (9 papers) and 3D Surveying and Cultural Heritage (5 papers). R. Boesch is often cited by papers focused on Remote Sensing and LiDAR Applications (15 papers), Remote Sensing in Agriculture (9 papers) and 3D Surveying and Cultural Heritage (5 papers). R. Boesch collaborates with scholars based in Switzerland, Austria and United States. R. Boesch's co-authors include Martin К. Obrist, Stefan Leyk, Daniel Farinotti, Robert Weibel, Zuyuan Wang, Yves Bühler, Marc Adams, Andreas Stoffel, S. Braaker and Jaboury Ghazoul and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Ecological Applications.

In The Last Decade

R. Boesch

25 papers receiving 787 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
R. Boesch Switzerland	13	311	296	177	177	146	26	827
Hans-Joachim Klemmt Germany	11	240 0.8×	145 0.5×	123 0.7×	22 0.1×	138 0.9×	17	626
Natalie Kelly Australia	17	707 2.3×	70 0.2×	72 0.4×	24 0.1×	126 0.9×	30	994
Blake M. Allan Australia	11	468 1.5×	159 0.5×	45 0.3×	39 0.2×	28 0.2×	17	695
Jeremy Lindsell United Kingdom	17	655 2.1×	384 1.3×	86 0.5×	31 0.2×	58 0.4×	34	1.1k
Julian Dale United States	14	374 1.2×	73 0.2×	49 0.3×	30 0.2×	79 0.5×	20	522
Kamil Král Czechia	23	301 1.0×	432 1.5×	236 1.3×	76 0.4×	215 1.5×	48	1.5k
Cici Alexander United Kingdom	13	292 0.9×	536 1.8×	32 0.2×	102 0.6×	107 0.7×	18	732
Grégoire Vincent France	23	643 2.1×	653 2.2×	130 0.7×	58 0.3×	56 0.4×	66	1.5k
Leon DeBell United Kingdom	9	213 0.7×	181 0.6×	43 0.2×	100 0.6×	30 0.2×	11	508
Jean‐Matthieu Monnet France	11	237 0.8×	298 1.0×	167 0.9×	45 0.3×	58 0.4×	31	696

Countries citing papers authored by R. Boesch

Since Specialization

Citations

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

Fields of papers citing papers by R. Boesch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Boesch

This figure shows the co-authorship network connecting the top 25 collaborators of R. Boesch. A scholar is included among the top collaborators of R. Boesch 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 R. Boesch. R. Boesch 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

Bühler, Yves, Marc Adams, Andreas Stoffel, & R. Boesch. (2017). Photogrammetric reconstruction of homogenous snow surfaces in alpine terrain applying near-infrared UAS imagery. International Journal of Remote Sensing. 38(8-10). 3135–3158. 66 indexed citations

Boesch, R., et al.. (2017). Accuracy Assessment of Digital Surface Models from Unmanned Aerial Vehicles’ Imagery on Glaciers. Remote Sensing. 9(2). 186–186. 188 indexed citations

Boesch, R.. (2017). THERMAL REMOTE SENSING WITH UAV-BASED WORKFLOWS. SHILAP Revista de lepidopterología. XLII-2/W6. 41–46. 17 indexed citations

Boesch, R., Yves Bühler, Mauro Marty, & Christian Ginzler. (2016). COMPARISON OF DIGITAL SURFACE MODELS FOR SNOW DEPTH MAPPING WITH UAV AND AERIAL CAMERAS. SHILAP Revista de lepidopterología. XLI-B8. 453–458. 13 indexed citations

Braaker, S., Marco Moretti, R. Boesch, et al.. (2014). Assessing habitat connectivity for ground‐dwelling animals in an urban environment. Ecological Applications. 24(7). 1583–1595. 89 indexed citations

Boesch, R.. (2013). Model Based Automatic Segmentation Of Tree Stems From Single Scan Data. SHILAP Revista de lepidopterología. XL-7/W2. 49–53. 2 indexed citations

Wang, Zuyuan, R. Boesch, & Christian Ginzler. (2011). Forest delineation of aerial images with Gabor wavelets. International Journal of Remote Sensing. 33(7). 2196–2213. 9 indexed citations

Wang, Zuyuan, R. Boesch, & Christian Ginzler. (2010). Automatic thresholding for shadow removing based on NGATE DSM. DORA WSL (Swiss Federal Institute for Forest, Snow and Landscape Research). 33. 889–892. 1 indexed citations

Leyk, Stefan & R. Boesch. (2009). Colors of the past: color image segmentation in historical topographic maps based on homogeneity. GeoInformatica. 14(1). 1–21. 48 indexed citations

10.

Boesch, R. & Zuyuan Wang. (2008). Segmentation optimization for aerial images with spatial constraints. DORA WSL (Swiss Federal Institute for Forest, Snow and Landscape Research). 37. 285–289. 4 indexed citations

11.

Wang, Zuyuan, R. Boesch, & Christian Ginzler. (2008). Integration of high resolution aerial images and airborne LIDAR data for forest delineation. DORA WSL (Swiss Federal Institute for Forest, Snow and Landscape Research). 37. 1203–1207. 10 indexed citations

12.

Wang, Zuyuan, R. Boesch, & Christian Ginzler. (2008). Feature Extraction for Forest Inventory. DORA WSL (Swiss Federal Institute for Forest, Snow and Landscape Research). 732–735.

13.

Obrist, Martin К., et al.. (2008). Probabilistic Evaluation of Synergetic Ultrasound Pattern Recognition for Large Scale Bat Surveys. 29–42. 1 indexed citations

14.

Ginzler, Christian, et al.. (2007). ACCURACY OF FOREST PARAMETERS DERIVED FROM MEDIUM FOOTPRINT LIDAR UNDER OPERATIONAL CONSTRAINTS. 144–149. 3 indexed citations

15.

Wang, Zuyuan, R. Boesch, & Christian Ginzler. (2007). Arial images and LIDAR fusion applied in forest boundary detection. 130–135. 5 indexed citations

16.

Wang, Zuyuan & R. Boesch. (2007). Color- and Texture-Based Image Segmentation for Improved Forest Delineation. IEEE Transactions on Geoscience and Remote Sensing. 45(10). 3055–3062. 30 indexed citations

17.

Leyk, Stefan, R. Boesch, & Robert Weibel. (2005). A Conceptual Framework for Uncertainty Investigation in Map‐based Land Cover Change Modelling. Transactions in GIS. 9(3). 291–322. 72 indexed citations

18.

Leyk, Stefan, R. Boesch, & Robert Weibel. (2005). Saliency and semantic processing: Extracting forest cover from historical topographic maps. Pattern Recognition. 39(5). 953–968. 43 indexed citations

19.

Obrist, Martin К., et al.. (2004). Who's calling? Acoustic bat species identification revised with synergetics. DORA WSL (Swiss Federal Institute for Forest, Snow and Landscape Research). 468–477. 4 indexed citations

20.

Boesch, R.. (1998). Framework for feature extraction of natural objects. 3099. 2062–2064 vol.4. 2 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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