David Knapp

10.9k citations
92 papers · 8.2k indexed · 2 hit papers · h-index 50

David Knapp

89 papers receiving 7.8k citations

Hit Papers

High-resolution forest carbon stocks and emissions in the...5152005202620122019250500750

Peers

David Knapp
Comparison fields: 5 of 154
  • Ecological Modeling 1.1k
  • Nature and Landscape Conservation 2.8k
  • Global and Planetary Change 3.9k
  • Ecology 4.1k
  • Environmental Engineering 2.2k
Replace Ross K. Meentemeyer with:
Ross K. Meentemeyer United States
Louis R. Iverson United States
Guofan Shao United States
Roberta E. Martin United States
Xuhui Zhou China
Maggi Kelly United States
P. K. Snyder United States
Qinghua Guo China
E. A. Howard United States
Dean L. Urban United States
David Knapp relative to Ross K. Meentemeyer United States Ross K. Meentemeyer's profile →
Citations per field
00.5×2.9×
Ross K. Meentemeyer · 1×
Citations per year

Countries citing papers authored by David Knapp

Since Specialization
Citations

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

Fields of papers citing papers by David Knapp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside David Knapp, 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 Knapp Line = papers co-authored together David Knapp links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20238
3 202124
4 202017
5 2017192
6 201649
7 2016100
8 201548
9 20155
10 201537
11 2015100
12 201498
13 2013109
14 2013190
15 2012105
16 201126
17 201070
18 201069
19
Discriminant Random Forests.
20085
20 1998327

About David Knapp

David Knapp is a scholar working on Ecological Modeling, Nature and Landscape Conservation, Environmental Engineering, Ecology and Global and Planetary Change, having authored 92 papers that have together received 8.2k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (32 papers), Remote Sensing and LiDAR Applications (32 papers), Ecology and Vegetation Dynamics Studies (19 papers), Forest ecology and management (18 papers), Species Distribution and Climate Change (17 papers), Coral and Marine Ecosystems Studies (11 papers), Fire effects on ecosystems (10 papers) and Conservation, Biodiversity, and Resource Management (9 papers). The work is most often cited by research in Ecological Modeling (1.1k citations), Nature and Landscape Conservation (2.8k citations), Global and Planetary Change (3.9k citations), Ecology (4.1k citations) and Environmental Engineering (2.2k citations). David Knapp has collaborated with scholars based in United States, South Africa and Australia. Frequent co-authors include Gregory P. Asner, Roberta E. Martin, Ty Kennedy-Bowdoin, Christopher B. Anderson, Paulo J. C. Oliveira, Eben N. Broadbent, José Natalino Macedo Silva, Michael Keller, R. Flint Hughes and Earl Hunt. Their work appears in journals such as Remote Sensing of Environment, Proceedings of the National Academy of Sciences, PLoS ONE, Ecological Applications and Remote Sensing.

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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