D. L. Peterson

863 total citations
20 papers, 639 citations indexed

About

D. L. Peterson is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, D. L. Peterson has authored 20 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Ecology, 8 papers in Global and Planetary Change and 7 papers in Environmental Engineering. Recurrent topics in D. L. Peterson's work include Remote Sensing in Agriculture (11 papers), Rangeland and Wildlife Management (5 papers) and Remote Sensing and LiDAR Applications (5 papers). D. L. Peterson is often cited by papers focused on Remote Sensing in Agriculture (11 papers), Rangeland and Wildlife Management (5 papers) and Remote Sensing and LiDAR Applications (5 papers). D. L. Peterson collaborates with scholars based in United States and Canada. D. L. Peterson's co-authors include Peter G. Wells, M. Spanner, Steven W. Running, Edward A. Martinko, Jude Kastens, Kevin P. Price, Mark Jakubauskas, David R. Legates, Stephen L. Egbert and Jungang Gao and has published in prestigious journals such as Ecology, Agriculture Ecosystems & Environment and International Journal of Remote Sensing.

In The Last Decade

D. L. Peterson

20 papers receiving 560 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
D. L. Peterson 372 322 179 151 76 20 639
Geir‐Harald Strand 235 0.6× 292 0.9× 158 0.9× 146 1.0× 60 0.8× 41 596
Shijo Joseph 356 1.0× 527 1.6× 212 1.2× 139 0.9× 107 1.4× 33 794
Edward A. Martinko 508 1.4× 355 1.1× 261 1.5× 132 0.9× 75 1.0× 23 870
Marcelo D. Miranda 220 0.6× 313 1.0× 102 0.6× 108 0.7× 50 0.7× 32 656
Mark A. Drummond 318 0.9× 559 1.7× 160 0.9× 78 0.5× 60 0.8× 22 802
Yegang Wu 428 1.2× 242 0.8× 207 1.2× 63 0.4× 49 0.6× 21 700
Rosana Cristina Grecchi 329 0.9× 427 1.3× 116 0.6× 120 0.8× 52 0.7× 14 757
Sajid Pareeth 352 0.9× 512 1.6× 132 0.7× 114 0.8× 91 1.2× 20 821
Marisa Gesteira Fonseca 251 0.7× 551 1.7× 171 1.0× 71 0.5× 69 0.9× 21 732
Yuhang Wang 261 0.7× 443 1.4× 151 0.8× 122 0.8× 41 0.5× 24 691

Countries citing papers authored by D. L. Peterson

Since Specialization
Citations

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

Fields of papers citing papers by D. L. Peterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. L. Peterson. 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. L. Peterson. The network helps show where D. L. Peterson may publish in the future.

Co-authorship network of co-authors of D. L. Peterson

This figure shows the co-authorship network connecting the top 25 collaborators of D. L. Peterson. A scholar is included among the top collaborators of D. L. Peterson 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 D. L. Peterson. D. L. Peterson 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
1.
Brookfield, Andrea E., Johannes J. Feddema, Belinda Sturm, et al.. (2019). Estimating irrigation demand with geospatial and in-situ data: Application to the high plains aquifer, Kansas, USA. Agricultural Water Management. 223. 105675–105675. 8 indexed citations
2.
Gao, Jungang, Aleksey Y. Sheshukov, Haw Yen, Jude Kastens, & D. L. Peterson. (2017). Impacts of incorporating dominant crop rotation patterns as primary land use change on hydrologic model performance. Agriculture Ecosystems & Environment. 247. 33–42. 23 indexed citations
3.
Brown, J. Christopher, Eric Hanley, Jason S. Bergtold, et al.. (2014). Ethanol plant location and intensification vs. extensification of corn cropping in Kansas. Applied Geography. 53. 141–148. 17 indexed citations
4.
Peterson, D. L., et al.. (2009). THE KANSAS NEXT-GENERATION LAND USE/LAND COVER MAPPING INITIATIVE. 1 indexed citations
5.
Peterson, D. L., et al.. (2008). 2005 Kansas land cover patterns : phase II - final report. 7 indexed citations
6.
Peterson, D. L., et al.. (2007). Ecological niche modeling of Black-tailed prairie dog habitats in Kansas. Transactions of the Kansas Academy of Science. 110(3 & 4). 187–200. 7 indexed citations
7.
Peterson, D. L., Stephen L. Egbert, Kevin P. Price, & Edward A. Martinko. (2004). Identifying historical and recent land-cover changes in Kansas using post-classification change detection techniques. Transactions of the Kansas Academy of Science. 107(3 & 4). 105–118. 17 indexed citations
8.
Jakubauskas, Mark, D. L. Peterson, Jude Kastens, & David R. Legates. (2002). Time Series Remote Sensing of Landscape-Vegetation Interactions in the Southern Great Plains. Photogrammetric Engineering & Remote Sensing. 68(10). 1021–1030. 40 indexed citations
9.
Peterson, D. L., Kevin P. Price, & Edward A. Martinko. (2002). Discriminating between cool season and warm season grassland cover types in northeastern Kansas. International Journal of Remote Sensing. 23(23). 5015–5030. 30 indexed citations
10.
Peterson, D. L., et al.. (2002). REMOTE SENSING TOOLS FOR STATEWIDE MANAGEMENT: DEVELOPING A LANDSAT 7 IMAGERY DATABASE OF KANSAS. 1 indexed citations
11.
Jakubauskas, Mark, D. L. Peterson, & David R. Legates. (2002). FOURIER DECOMPOSITION OF AN AVHRR NDVI TIME SERIES FOR SEASONAL AND INTERANNUAL LAND COVER CHANGE DETECTION. 387–394. 4 indexed citations
12.
Peterson, D. L., Kevin P. Price, & Edward A. Martinko. (2002). Investigating Grazing Intensity and Range Condition of Grasslands in Northeastern Kansas Using Landsat Thematic Mapper Data. Geocarto International. 17(4). 15–26. 8 indexed citations
13.
Wells, Peter G., et al.. (1999). Ecological Scale: Theory and Applications. Waterbirds. 22(3). 484–484. 304 indexed citations
14.
Aber, John D., Carol A. Wessman, D. L. Peterson, Jerry M. Melillo, & James H. Fownes. (1989). Remote sensing of litter and soil organic matter decomposition in forest ecosystems. 87–103. 3 indexed citations
15.
Running, Steven W., et al.. (1986). Remote Sensing of Coniferous Forest Leaf Area. Ecology. 67(1). 273–276. 140 indexed citations
16.
Spanner, M. & D. L. Peterson. (1986). Analysis of AIS data of the Bonanza Creek Experimental Forest, Alaska. NASA Technical Reports Server (NASA). 1 indexed citations
17.
Spanner, M., et al.. (1985). Atmospheric effects on the remote sensing estimation of forest leaf area index. NASA Technical Reports Server (NASA). 9 indexed citations
18.
Peterson, D. L., Pamela A. Matson, John Lawless, John D. Aber, & Peter M. Vitousek. (1985). Biogeochemical cycling in terrestrial ecosystems - Modeling, measurement, and remote sensing. NASA Technical Reports Server (NASA). 4 indexed citations
19.
Spanner, M., William Acevedo, Steven W. Running, et al.. (1984). Remote sensing of the leaf area index of temperate coniferous forests. NASA Technical Reports Server (NASA). 14 indexed citations
20.
Peterson, D. L., et al.. (1981). Statewide LANDSAT inventory of California forests. NASA Technical Reports Server (NASA). 1 indexed citations

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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