David Landis

2.4k citations
29 papers · 1.3k indexed · 1 hit paper · h-index 12
Topics
Remote Sensing in Agriculture (10 papers)Atmospheric and Environmental Gas Dynamics (9 papers)Remote Sensing and LiDAR Applications (4 papers)

In The Last Decade

David Landis

28 papers receiving 1.2k citations

Hit Papers

Detection of Water in the LCROSS Ejecta Plume20102026201520202010200400600

Peers

David Landis
Comparison fields: 5 of 97
  • Astronomy and Astrophysics 590
  • Ecology 422
  • Global and Planetary Change 265
  • Aerospace Engineering 248
  • Atmospheric Science 188
Replace M. S. Gilmore with:
M. S. Gilmore United States
S. Tompkins United States
R. J. P. Lyon United States
Jeffrey H. Bowles United States
Yunzhao Wu China
P. E. Johnson United States
János Lichtenberger Hungary
Santiago Belda Spain
Laila S. Jeong United States
Gerardo Rivera United States
David Landis relative to M. S. Gilmore United States M. S. Gilmore's profile →
Citations per field
00.5×1.5×2.0×
M. S. Gilmore · 1×
Citations per year

Countries citing papers authored by David Landis

Since Specialization
Citations

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

Fields of papers citing papers by David Landis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Landis

This figure shows the co-authorship network connecting the top 25 collaborators of David Landis. A scholar is included among the top collaborators of David Landis 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 Landis. David Landis 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
#WorkIndexed citations
1 14
2 9
3 28
4 6
5 44
6 1
7 180
8 106
9 47
10 28
11 1
12 3
13 16
14
Detection of Water in the LCROSS Ejecta Plumebreakdown →
634
15
Remote Sensing of Ecosystem Light Use Efficiency Using MODIS
1
16 4
17 7
18 13
19 3
20
IBM VLSI ACADEMIC PROGRAM.
1

About David Landis

David Landis is a scholar working on Ecological Modeling, Global and Planetary Change and Ecology, having authored 29 papers that have together received 1.3k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (10 papers), Atmospheric and Environmental Gas Dynamics (9 papers) and Remote Sensing and LiDAR Applications (4 papers). The work is most often cited by research in Astronomy and Astrophysics (590 citations), Ecology (422 citations) and Media Technology (113 citations). David Landis has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Elizabeth M. Middleton, K. F. Huemmrich, Antonio J. Ricco, A. Colaprete, M. Shirley, R. C. Elphic, P. H. Schultz, Kimberly Ennico, William Marshall and D. Summy. Their work appears in journals such as Science, Journal of Geophysical Research Atmospheres and Remote Sensing of Environment.

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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