David Mader

471 total citations
33 papers, 351 citations indexed

About

David Mader is a scholar working on Environmental Engineering, Geology and Computer Vision and Pattern Recognition. According to data from OpenAlex, David Mader has authored 33 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Environmental Engineering, 14 papers in Geology and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in David Mader's work include Remote Sensing and LiDAR Applications (17 papers), 3D Surveying and Cultural Heritage (14 papers) and Advanced Optical Sensing Technologies (6 papers). David Mader is often cited by papers focused on Remote Sensing and LiDAR Applications (17 papers), 3D Surveying and Cultural Heritage (14 papers) and Advanced Optical Sensing Technologies (6 papers). David Mader collaborates with scholars based in Germany, Canada and United States. David Mader's co-authors include Patrick Westfeld, Hans‐Gerd Maas, R. Novick, G. D. Scott, K. Richter, M.D. Sherar, M. Leventhal, Willis E. Lamb, K. E. Donnelly and Anette Eltner and has published in prestigious journals such as Nature, Physical Review Letters and SHILAP Revista de lepidopterología.

In The Last Decade

David Mader

32 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Mader Germany 12 119 115 57 53 43 33 351
Genghua Huang China 10 112 0.9× 53 0.5× 41 0.7× 16 0.3× 43 1.0× 43 297
Claudia Daffara Italy 11 14 0.1× 73 0.6× 30 0.5× 8 0.2× 20 0.5× 69 533
Carlo Noviello Italy 13 58 0.5× 22 0.2× 13 0.2× 4 0.1× 230 5.3× 30 404
Christian Fischer United States 9 30 0.3× 32 0.3× 43 0.8× 15 0.3× 92 2.1× 25 507
Nathan J. Pust United States 12 45 0.4× 8 0.1× 60 1.1× 6 0.1× 231 5.4× 28 568
Raffaele Persico Italy 11 58 0.5× 38 0.3× 30 0.5× 34 0.8× 55 637
J. Locke United Kingdom 13 19 0.2× 21 0.2× 43 0.8× 2 0.0× 34 0.8× 40 444
M. Ferri de Collibus Italy 11 16 0.1× 91 0.8× 19 0.3× 2 0.0× 46 1.1× 52 344
Junyi Xu China 7 108 0.9× 21 0.2× 25 0.4× 390 9.1× 22 490
Ş.S. Şeker Türkiye 10 143 1.2× 60 1.1× 93 1.8× 160 3.7× 59 425

Countries citing papers authored by David Mader

Since Specialization
Citations

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

Fields of papers citing papers by David Mader

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Mader

This figure shows the co-authorship network connecting the top 25 collaborators of David Mader. A scholar is included among the top collaborators of David Mader 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 David Mader. David Mader 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.
Richter, K., et al.. (2024). UAV-based LiDAR Bathymetry at an Alpine Mountain Lake. SHILAP Revista de lepidopterología. XLVIII-2-2024. 341–348. 1 indexed citations
2.
Mader, David, et al.. (2023). A Bi-Radial Model for Lens Distortion Correction of Low-Cost UAV Cameras. Remote Sensing. 15(22). 5283–5283. 5 indexed citations
3.
Mader, David, et al.. (2023). Volumetric nonlinear ortho full-waveform stacking in airborne LiDAR bathymetry for reliable water bottom point detection in shallow waters. ISPRS Journal of Photogrammetry and Remote Sensing. 204. 145–162. 3 indexed citations
4.
Mader, David, et al.. (2023). Analysis of the potential of full-waveform stacking techniques applied to coastal airborne LiDAR bathymetry data of the German Wadden Sea National Park. The International Hydrographic Review. 29(2). 46–64. 1 indexed citations
5.
Mader, David, et al.. (2022). DETERMINATION OF 3D WATER TURBIDITY PARAMETER FIELDS FROM LIDAR BATHYMETRY DATA BY VOLUMETRIC DATA ANALYSIS. SHILAP Revista de lepidopterología. XLIII-B2-2022. 945–951. 2 indexed citations
6.
Mader, David, K. Richter, Patrick Westfeld, & Hans‐Gerd Maas. (2022). Correction to: Potential of a Non-linear Full-Waveform Stacking Technique in Airborne LiDAR Bathymetry. PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science. 90(5). 495–496. 1 indexed citations
7.
Mader, David, K. Richter, Patrick Westfeld, & Hans‐Gerd Maas. (2021). Potential of a Non-linear Full-Waveform Stacking Technique in Airborne LiDAR Bathymetry. PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science. 89(2). 139–158. 10 indexed citations
8.
Richter, K., David Mader, Patrick Westfeld, & Hans‐Gerd Maas. (2021). WATER TURBIDITY ESTIMATION FROM LIDAR BATHYMETRY DATA BY FULL-WAVEFORM ANALYSIS – COMPARISON OF TWO APPROACHES. SHILAP Revista de lepidopterología. XLIII-B2-2021. 681–688. 6 indexed citations
9.
Richter, K., David Mader, Patrick Westfeld, & Hans‐Gerd Maas. (2021). Refined Geometric Modeling of Laser Pulse Propagation in Airborne LiDAR Bathymetry. PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science. 89(2). 121–137. 6 indexed citations
10.
Eltner, Anette, et al.. (2021). USING THERMAL AND RGB UAV IMAGERY TO MEASURE SURFACE FLOW VELOCITIES OF RIVERS. SHILAP Revista de lepidopterología. XLIII-B2-2021. 717–722. 11 indexed citations
11.
12.
Bezanson, G S, David Mader, Sherry Fillmore, Susan Bach, & Pascal Delaquis. (2019). Reaction of Surrogate Escherichia coli Serotype O157:H7 and Non-O157 Strains to Nutrient Starvation: Variation in Phenotype and Transcription of Stress Response Genes and Behavior on Lettuce Plants in the Field. Journal of Food Protection. 82(11). 1988–2000. 2 indexed citations
13.
Mader, David, et al.. (2016). POTENTIAL OF UAV-BASED LASER SCANNER AND MULTISPECTRAL CAMERA DATA IN BUILDING INSPECTION. ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences. XLI-B1. 1135–1142. 13 indexed citations
14.
Mader, David, et al.. (2016). POTENTIAL OF UAV-BASED LASER SCANNER AND MULTISPECTRAL CAMERA DATA IN BUILDING INSPECTION. SHILAP Revista de lepidopterología. XLI-B1. 1135–1142. 41 indexed citations
15.
Mader, David, et al.. (1996). In-situ optical profilometry of CANDU fuel channels. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
16.
Mader, David, et al.. (1994). A model for characterizing residential ground current and magnetic field fluctuations. Bioelectromagnetics. 15(1). 53–65. 3 indexed citations
17.
Mader, David, et al.. (1992). Residential exposure to 60‐Hz magnetic fields from appliances. Bioelectromagnetics. 13(4). 287–301. 31 indexed citations
18.
Mader, David, et al.. (1990). A simple model for calculating residential 60‐Hz magnetic fields. Bioelectromagnetics. 11(4). 283–296. 15 indexed citations
19.
Mader, David & R. Novick. (1974). Radio-Frequency Spectrum ofHe−3andHe−4. Physical Review Letters. 32(5). 185–188. 18 indexed citations
20.
Mader, David, M. Leventhal, & Willis E. Lamb. (1971). Measurement of the Level Shift inHe+,n=3. Physical review. A, General physics. 3(6). 1832–1848. 12 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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