Richard G. Oderwald

42 papers receiving 1.2k citations

Richard G. Oderwald's Hit Papers

Assessing Landsat classification accuracy using discrete multivariate analysis statistical techniques. 1983 · 560 citations
5600+14+28Years since publication100200300400500

Peers

Richard G. Oderwald
Comparison fields: 5 of 98
  • Nature and Landscape Conservation 531
  • Environmental Engineering 597
  • Ecology 592
  • Media Technology 197
  • Global and Planetary Change 455
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Countries citing papers authored by Richard G. Oderwald

Since Specialization
Citations

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

Fields of papers citing papers by Richard G. Oderwald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard G. Oderwald. 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 Richard G. Oderwald. The network helps show where Richard G. Oderwald may publish in the future.

Co-authors

The 25 scholars most cited alongside Richard G. Oderwald, 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 Richard G. Oderwald Line = papers co-authored together Richard G. Oderwald 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
Assessing Landsat classification accuracy using discrete multivariate analysis statistical techniques.
Hit paper breakdown →
1983560
2 2006123
3 1997100
4
Spectral Separability among Six Southern Tree Species
200185
5 200169
6 200252
7 198041
8 200035
9 198232
10 198031
11 198730
12 200030
13 199025
14 200223
15 200321
16 198621
17 199019
18 198019
19
Economics of modifying harvesting systems to recover energy wood
198117
20 198215

About Richard G. Oderwald

Richard G. Oderwald is a scholar working on Nature and Landscape Conservation, Environmental Engineering, Global and Planetary Change, Ecology and Statistics and Probability, having authored 44 papers that have together received 1.4k indexed citations. Recurring topics across this work include Forest ecology and management (17 papers), Remote Sensing and LiDAR Applications (13 papers), Forest Management and Policy (7 papers), Forest Biomass Utilization and Management (5 papers), Remote Sensing in Agriculture (5 papers), Advanced Statistical Methods and Models (3 papers), Soil Geostatistics and Mapping (3 papers) and Tree Root and Stability Studies (3 papers). The work is most often cited by research in Nature and Landscape Conservation (531 citations), Environmental Engineering (597 citations), Ecology (592 citations), Media Technology (197 citations) and Global and Planetary Change (455 citations). Richard G. Oderwald has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Russell G. Congalton, Roy A. Mead, Randolph H. Wynne, Mahadev Sharma, Timothy G. Grégoire, J. A. N. van Aardt, ROSS F. NELSON, James B. Campbell, James A. Burger and Jason A. Rodrigue. Their work appears in journals such as Forest Science, Canadian Journal of Forest Research, Journal of Forestry, Bulletin of Environmental Contamination and Toxicology and Southern Journal of Applied Forestry.

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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