D. I. Cooper

822 total citations
35 papers, 611 citations indexed

About

D. I. Cooper is a scholar working on Global and Planetary Change, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, D. I. Cooper has authored 35 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Global and Planetary Change, 14 papers in Atmospheric Science and 12 papers in Environmental Engineering. Recurrent topics in D. I. Cooper's work include Plant Water Relations and Carbon Dynamics (18 papers), Atmospheric aerosols and clouds (13 papers) and Meteorological Phenomena and Simulations (13 papers). D. I. Cooper is often cited by papers focused on Plant Water Relations and Carbon Dynamics (18 papers), Atmospheric aerosols and clouds (13 papers) and Meteorological Phenomena and Simulations (13 papers). D. I. Cooper collaborates with scholars based in United States. D. I. Cooper's co-authors include William E. Eichinger, Ghassem Asrar, Lawrence E. Hipps, John H. Prueger, William P. Kustas, Christopher M. U. Neale, Jerry L. Hatfield, Robert Karl, D. B. Holtkamp and J. I. MacPherson and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Remote Sensing of Environment and Journal of Climate.

In The Last Decade

D. I. Cooper

34 papers receiving 539 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
D. I. Cooper United States 15 487 297 190 83 59 35 611
T. W. Horst United States 8 430 0.9× 270 0.9× 187 1.0× 59 0.7× 51 0.9× 15 589
Henk A. R. de Bruin Netherlands 8 599 1.2× 237 0.8× 196 1.0× 45 0.5× 75 1.3× 9 715
W.M.L. Meijninger Netherlands 15 851 1.7× 517 1.7× 404 2.1× 82 1.0× 96 1.6× 29 996
J. Schieldge United States 11 257 0.5× 155 0.5× 188 1.0× 47 0.6× 98 1.7× 25 546
Frederik De Roo Germany 12 351 0.7× 172 0.6× 139 0.7× 31 0.4× 125 2.1× 33 435
R.E. Murphy United States 6 493 1.0× 390 1.3× 319 1.7× 254 3.1× 14 0.2× 13 779
Michel Desgagné Canada 11 552 1.1× 645 2.2× 120 0.6× 19 0.2× 51 0.9× 15 851
P. J. Camillo United States 10 344 0.7× 157 0.5× 341 1.8× 71 0.9× 6 0.1× 19 605
W. Kohsiek Netherlands 18 1.2k 2.4× 777 2.6× 585 3.1× 78 0.9× 188 3.2× 39 1.4k
Beidou Zhang China 15 701 1.4× 624 2.1× 103 0.5× 28 0.3× 23 0.4× 31 859

Countries citing papers authored by D. I. Cooper

Since Specialization
Citations

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

Fields of papers citing papers by D. I. Cooper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. I. Cooper

This figure shows the co-authorship network connecting the top 25 collaborators of D. I. Cooper. A scholar is included among the top collaborators of D. I. Cooper 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. I. Cooper. D. I. Cooper 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.
Cooper, D. I., William E. Eichinger, J. Archuleta, et al.. (2007). An Advanced Method for Deriving Latent Energy Flux from a Scanning Raman Lidar. Agronomy Journal. 99(1). 272–284. 6 indexed citations
2.
Eichinger, William E., John H. Prueger, D. I. Cooper, et al.. (2006). Use of Elastic Lidar to Examine the Dynamics of Plume Dispersion from an Agricultural Facility. AGUFM. 2006. 4 indexed citations
3.
Eichinger, William E., D. I. Cooper, Lawrence E. Hipps, et al.. (2005). Spatial and temporal variation in evapotranspiration using Raman lidar. Advances in Water Resources. 29(2). 369–381. 15 indexed citations
4.
Eichinger, William E., et al.. (2005). Lidar Measurement of Boundary Layer Evolution to Determine Sensible Heat Fluxes. Journal of Hydrometeorology. 6(6). 840–853. 12 indexed citations
5.
Eichinger, William E., et al.. (2004). Lidar Measurement of Boundary Layer Evolution to Determine Sensible Heat Fluxes. AGU Fall Meeting Abstracts. 2004. 1 indexed citations
6.
Cooper, D. I.. (2002). Spatial source-area analysis of three-dimensional moisture fields from lidar, eddy covariance, and a footprint model. Agricultural and Forest Meteorology. 114(3-4). 213–234. 24 indexed citations
7.
Prueger, John H., Lawrence E. Hipps, William P. Kustas, et al.. (2001). Feasibility of évapotranspiration monitoring of riparian vegetation with remote sensing. IAHS-AISH publication. 246–251. 3 indexed citations
8.
Neale, Christopher M. U., Lawrence E. Hipps, John H. Prueger, et al.. (2001). Spatial mapping of evapotranspiration and energy balance components over riparian vegetation using airborne remote sensing. IAHS-AISH publication. 311–315. 10 indexed citations
9.
Friehe, Carl A., et al.. (2000). Statistical-uncertainty-based adaptive filtering of lidar signals. Applied Optics. 39(5). 850–850. 2 indexed citations
10.
Eichinger, William E., et al.. (1999). The Development of a Scanning Raman Water Vapor Lidar for Boundary Layer and Tropospheric Observations. Journal of Atmospheric and Oceanic Technology. 16(11). 1753–1766. 26 indexed citations
11.
Hagelberg, C. R., D. I. Cooper, C. L. Winter, & William E. Eichinger. (1998). Scale properties of microscale convection in the marine surface layer. Journal of Geophysical Research Atmospheres. 103(D14). 16897–16907. 6 indexed citations
12.
Collins, William D., Junyi Wang, J. T. Kiehl, et al.. (1997). Comparison of Tropical Ocean–Atmosphere Fluxes with the NCAR Community Climate Model CCM3*. Journal of Climate. 10(12). 3047–3058. 11 indexed citations
13.
Eichinger, William E., et al.. (1994). <title>Use of lidar for the evaluation of traffic-related urban pollution</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2102. 209–218. 2 indexed citations
14.
Eichinger, William E., et al.. (1994). Development of a scanning, solar-blind, water Raman lidar. Applied Optics. 33(18). 3923–3923. 25 indexed citations
15.
Cooper, D. I. & William E. Eichinger. (1994). Structure of the atmosphere in an urban planetary boundary layer from lidar and radiosonde observations. Journal of Geophysical Research Atmospheres. 99(D11). 22937–22948. 55 indexed citations
16.
Cooper, D. I., et al.. (1994). Observations of coherent structures from a scanning lidar over an irrigated orchard. Agricultural and Forest Meteorology. 67(3-4). 239–252. 9 indexed citations
17.
Cooper, D. I. & Ghassem Asrar. (1989). Evaluating atmospheric correction models for retrieving surface temperatures from the AVHRR over a tallgrass prairie. Remote Sensing of Environment. 27(1). 93–102. 85 indexed citations
18.
Asrar, Ghassem, et al.. (1988). Radiative surface temperatures of the burned and unburned areas in a tallgrass prairie. Remote Sensing of Environment. 24(3). 447–457. 20 indexed citations
19.
Asrar, Ghassem, et al.. (1987). Estimating regional evapotranspiration from remotely sensed data by surface energy balance models. NASA Technical Reports Server (NASA). 1 indexed citations
20.
Cooper, D. I.. (1952). Proton-Proton Scattering.. 2 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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