David Reiser

1.2k citations
44 papers · 846 indexed · h-index 16

Impact in

    • Remote Sensing and LiDAR Applications
    • Smart Agriculture and AI
    • Leaf Properties and Growth Measurement
    • Greenhouse Technology and Climate Control

Papers in

David Reiser

41 papers receiving 812 citations

Peers

David Reiser
Comparison fields: 5 of 92
  • Environmental Engineering 204
  • Plant Science 486
  • Metals and Alloys 26
  • Geology 56
  • Ecology 213
Replace Manuel Vázquez-Arellano with:
Manuel Vázquez-Arellano Germany
Anders Krogh Mortensen Denmark
Miguel Garrido Izard Spain
Jordi Gené-Mola Spain
Yin Bao United States
Junxiong Zhang China
Michael P. Sama United States
Kim Arild Steen Denmark
Shangpeng Sun China
Kexin Xu China
David Reiser relative to Manuel Vázquez-Arellano Germany Manuel Vázquez-Arellano's profile →
Citations per field
00.5×1.5×2.5×
Manuel Vázquez-Arellano · 1×
Citations per year

Countries citing papers authored by David Reiser

Since Specialization
Citations

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

Fields of papers citing papers by David Reiser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside David Reiser, 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 Reiser Line = papers co-authored together David Reiser links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016182
2 202079
3 201870
4 201567
5 201958
6 198441
7 200132
8 199930
9 201828
10 201828
11 202021
12 198420
13 201618
14 202216
15 201716
16 200615
17 199514
18 201814
19 199613
20 20219

About David Reiser

David Reiser is a scholar working on Environmental Engineering, Plant Science, Instrumentation, Catalysis and Geology, having authored 44 papers that have together received 846 indexed citations. Recurring topics across this work include Smart Agriculture and AI (18 papers), Remote Sensing and LiDAR Applications (9 papers), Leaf Properties and Growth Measurement (9 papers), Remote Sensing in Agriculture (6 papers), Catalytic Processes in Materials Science (4 papers), 3D Surveying and Cultural Heritage (3 papers), Spectroscopy and Chemometric Analyses (2 papers) and Corrosion Behavior and Inhibition (2 papers). The work is most often cited by research in Environmental Engineering (204 citations), Plant Science (486 citations), Metals and Alloys (26 citations), Geology (56 citations) and Ecology (213 citations). David Reiser has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Hans W. Griepentrog, Manuel Vázquez-Arellano, Dimitrios S. Paraforos, Miguel Garrido Izard, Richard C. Alkire, Hansong Cheng, R. L. Sani, Constantino Valero Ubierna, Paul M. Mathias and Roland Gerhards. Their work appears in journals such as Computers and Electronics in Agriculture, The Journal of Physical Chemistry, Australian Veterinary Journal, Sensors and Precision Agriculture.

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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