D. E. Escobar
Impact in
- Ecological Modeling top 2%
- Species Distribution and Climate Change
- Ecology top 1%
- Remote Sensing in Agriculture
- Rangeland and Wildlife Management
Papers in
- Ecology 52
- Remote Sensing in Agriculture 39
- Rangeland and Wildlife Management 16
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- Leaf Properties and Growth Measurement 18
- Co-authors
- J. H. Everitt (61 shared papers)A. J. Richardson (11 shared papers)C. L. Wiegand (4 shared papers)H. W. Gausman (19 shared papers)A. H. Gerbermann (2 shared papers)M. R. Davis (22 shared papers)Michael R. Davis (11 shared papers)R. R. Rodriguez (11 shared papers)
- Journals
- Remote Sensing of Environment (13 papers)Geocarto International (11 papers)Weed Science (5 papers)Weed Technology (5 papers)International Journal of Remote Sensing (3 papers)
- Partner nations
- United StatesRussia
In The Last Decade
D. E. Escobar
79 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 98
- Ecological Modeling 287
- Ecology 1.4k
- Environmental Engineering 512
- Analytical Chemistry 198
- Plant Science 723
Countries citing papers authored by D. E. Escobar
This map shows the geographic impact of D. E. Escobar'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 D. E. Escobar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. E. Escobar more than expected).
Fields of papers citing papers by D. E. Escobar
This network shows the impact of papers produced by D. E. Escobar. 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 D. E. Escobar. The network helps show where D. E. Escobar may publish in the future.
Co-authors
The 25 scholars most cited alongside D. E. Escobar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 317 | |
| 2 | 1995 | 92 | |
| 3 | 1996 | 76 | |
| 4 | 1994 | 71 | |
| 5 | 1974 | 69 | |
| 6 | 1993 | 64 | |
| 7 | 1975 | 63 | |
| 8 | Using remote sensing and spatial information technologies to detect and map two aquatic macrophytes. | 1999 | 51 |
| 9 | Detecting saline soils with video imagery | 1988 | 44 |
| 10 | 1971 | 43 | |
| 11 | 1996 | 42 | |
| 12 | 1992 | 41 | |
| 13 | 1989 | 40 | |
| 14 | 1991 | 40 | |
| 15 | 1995 | 39 | |
| 16 | 1985 | 38 | |
| 17 | 1992 | 38 | |
| 18 | 1978 | 38 | |
| 19 | 1999 | 38 | |
| 20 | 2012 | 35 |
About D. E. Escobar
D. E. Escobar is a scholar working on Ecology, Plant Science, Ecological Modeling, Environmental Engineering and Analytical Chemistry, having authored 82 papers that have together received 1.9k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (39 papers), Leaf Properties and Growth Measurement (18 papers), Species Distribution and Climate Change (17 papers), Rangeland and Wildlife Management (16 papers), Remote Sensing and LiDAR Applications (11 papers), Spectroscopy and Chemometric Analyses (10 papers), Plant and animal studies (7 papers) and Remote-Sensing Image Classification (7 papers). The work is most often cited by research in Ecological Modeling (287 citations), Ecology (1.4k citations), Environmental Engineering (512 citations), Analytical Chemistry (198 citations) and Plant Science (723 citations). D. E. Escobar has collaborated with scholars based in United States and Russia. Frequent co-authors include J. H. Everitt, A. J. Richardson, C. L. Wiegand, H. W. Gausman, A. H. Gerbermann, M. R. Davis, Michael R. Davis, R. R. Rodriguez, William A. Allen and Gerald L. Anderson. Their work appears in journals such as Remote Sensing of Environment, Geocarto International, Weed Science, Weed Technology and International Journal of 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.