David Mader

32 papers receiving 329 citations

Peers

David Mader
Comparison fields: 5 of 75
  • Geology 115
  • Biophysics 53
  • Environmental Engineering 119
  • Instrumentation 19
  • Speech and Hearing 33
Replace Genghua Huang with:
Genghua Huang China
Carlo Noviello Italy
Claudia Daffara Italy
J. Locke United Kingdom
Nathan J. Pust United States
Seongryong Kim South Korea
Christian Fischer United States
M. Ferri de Collibus Italy
Junyi Xu China
Guy G. Goyer United States
David Mader relative to Genghua Huang China Genghua Huang's profile →
Citations per field
00.5×10×
Genghua Huang · 1×
Citations per year

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-authors

The 19 scholars most cited alongside David Mader, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Mader Line = papers co-authored together David Mader links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201641
2 201539
3 199231
4 196428
5 197223
6 197418
7 201516
8 199015
9 201613
10 197112
11 201412
12 202111
13 202110
14 201310
15 199310
16 20198
17 20198
18 20216
19 20216
20 20186

About David Mader

David Mader is a scholar working on Environmental Engineering, Geology, Computer Vision and Pattern Recognition, Instrumentation and Ecology, having authored 33 papers that have together received 351 indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (17 papers), 3D Surveying and Cultural Heritage (14 papers), Advanced Optical Sensing Technologies (6 papers), Optical measurement and interference techniques (5 papers), Electromagnetic Fields and Biological Effects (4 papers), Non-Destructive Testing Techniques (3 papers), Hydrology and Sediment Transport Processes (3 papers) and Atomic and Molecular Physics (3 papers). The work is most often cited by research in Geology (115 citations), Biophysics (53 citations), Environmental Engineering (119 citations), Instrumentation (19 citations) and Speech and Hearing (33 citations). David Mader has collaborated with scholars based in Germany, Canada and United States. Frequent co-authors include Patrick Westfeld, Hans‐Gerd Maas, R. Novick, K. Richter, G. D. Scott, M.D. Sherar, M. Leventhal, Willis E. Lamb, Anette Eltner and D.A. Barrow. Their work appears in journals such as Bioelectromagnetics, PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science, Physical Review Letters, ISPRS Journal of Photogrammetry and Remote Sensing and Journal of Food Protection.

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.

Explore authors with similar magnitude of impact