D. S. Bartlett

1.3k total citations
26 papers, 1.0k citations indexed

About

D. S. Bartlett is a scholar working on Global and Planetary Change, Ecology and Environmental Engineering. According to data from OpenAlex, D. S. Bartlett has authored 26 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Global and Planetary Change, 14 papers in Ecology and 8 papers in Environmental Engineering. Recurrent topics in D. S. Bartlett's work include Atmospheric and Environmental Gas Dynamics (9 papers), Remote Sensing in Agriculture (7 papers) and Remote Sensing and LiDAR Applications (7 papers). D. S. Bartlett is often cited by papers focused on Atmospheric and Environmental Gas Dynamics (9 papers), Remote Sensing in Agriculture (7 papers) and Remote Sensing and LiDAR Applications (7 papers). D. S. Bartlett collaborates with scholars based in United States and United Kingdom. D. S. Bartlett's co-authors include Robert C. Harriss, Karen B. Bartlett, Daniel I. Sebacher, Gary J. Whiting, V. Klemas, Jean M. Hartman, James D. Happell, Jeffrey P. Chanton, Charles H. Whitlock and Steven C. Wofsy and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Remote Sensing of Environment and Geophysical Research Letters.

In The Last Decade

D. S. Bartlett

21 papers receiving 821 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. S. Bartlett United States 12 634 516 307 192 165 26 1.0k
Edwin A. Romanowicz United States 9 525 0.8× 211 0.4× 297 1.0× 113 0.6× 35 0.2× 14 733
Stagg L. King United States 9 246 0.4× 325 0.6× 266 0.9× 222 1.2× 177 1.1× 11 673
Michael A. Hardisky United States 14 447 0.7× 211 0.4× 132 0.4× 30 0.2× 61 0.4× 24 622
Mamoudou B. Ba United States 13 242 0.4× 833 1.6× 667 2.2× 37 0.2× 60 0.4× 16 1.2k
Pierre‐Alain Danis France 16 180 0.3× 369 0.7× 400 1.3× 211 1.1× 185 1.1× 23 895
Alla Yurova Russia 13 197 0.3× 399 0.8× 416 1.4× 109 0.6× 112 0.7× 27 757
Christian Fraser Canada 8 361 0.6× 134 0.3× 223 0.7× 91 0.5× 45 0.3× 8 593
Pavel Alekseychik Finland 15 462 0.7× 366 0.7× 571 1.9× 177 0.9× 79 0.5× 32 934
Julia Guimond United States 13 382 0.6× 131 0.3× 207 0.7× 127 0.7× 146 0.9× 21 700
Yasumi Fujinuma Japan 18 275 0.4× 708 1.4× 308 1.0× 37 0.2× 76 0.5× 39 1.1k

Countries citing papers authored by D. S. Bartlett

Since Specialization
Citations

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

Fields of papers citing papers by D. S. Bartlett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. S. Bartlett

This figure shows the co-authorship network connecting the top 25 collaborators of D. S. Bartlett. A scholar is included among the top collaborators of D. S. Bartlett 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. S. Bartlett. D. S. Bartlett 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.
Bartlett, D. S., et al.. (2016). Microbial community composition and function in the Tonga Trench: from 400m below the sea surface to 9100m water depth and from 0 to 2 m below the seafloor.. AGUFM. 2016.
2.
Whiting, Gary J., D. S. Bartlett, Songmiao Fan, Peter S. Bakwin, & Steven C. Wofsy. (1992). Biosphere/atmosphere CO2 exchange in tundra ecosystems: Community characteristics and relationships with multispectral surface reflectance. Journal of Geophysical Research Atmospheres. 97(D15). 16671–16680. 74 indexed citations
3.
Whiting, Gary J., Jeffrey P. Chanton, D. S. Bartlett, & James D. Happell. (1991). Relationships between CH4 emission, biomass, and CO2 exchange in a subtropical grassland. Journal of Geophysical Research Atmospheres. 96(D7). 13067–13071. 107 indexed citations
4.
Bartlett, D. S., et al.. (1989). Methane emissions from the Florida Everglades: Patterns of variability in a regional wetland ecosystem. Global Biogeochemical Cycles. 3(4). 363–374. 70 indexed citations
5.
Bartlett, D. S., Gary J. Whiting, & Jean M. Hartman. (1989). Use of vegetation indices to estimate indices to estimate intercepted solar radiation and net carbon dioxide exchange of a grass canopy. Remote Sensing of Environment. 30(2). 115–128. 93 indexed citations
6.
Bartlett, D. S., Michael A. Hardisky, Robert W. Johnson, et al.. (1988). Continental scale variability in vegetation reflectance and its relationship to canopy morphology. International Journal of Remote Sensing. 9(7). 1223–1241. 33 indexed citations
7.
Harriss, Robert C., Daniel I. Sebacher, Karen B. Bartlett, D. S. Bartlett, & Patrick Crill. (1988). Sources of atmospheric methane in the south Florida environment. Global Biogeochemical Cycles. 2(3). 231–243. 76 indexed citations
8.
Bartlett, Karen B., D. S. Bartlett, Robert C. Harriss, & Daniel I. Sebacher. (1987). Methane emissions along a salt marsh salinity gradient. Biogeochemistry. 4(3). 183–202. 243 indexed citations
9.
Bartlett, Karen B., et al.. (1985). Sources of atmospheric methane from wetlands. NASA Technical Reports Server (NASA). 4 indexed citations
10.
Bartlett, D. S.. (1982). Remote Sensing of Tidal Wetlands: Mapping and Beyond. Zenodo (CERN European Organization for Nuclear Research). 2. 458–463.
11.
Whitlock, Charles H., et al.. (1982). Sea foam reflectance and influence on optimum wavelength for remote sensing of ocean aerosols. Geophysical Research Letters. 9(6). 719–722. 72 indexed citations
12.
Harriss, Robert C., Daniel I. Sebacher, Karen B. Bartlett, & D. S. Bartlett. (1982). Sources of atmospheric methane from coastal marine wetlands. NASA Technical Reports Server (NASA). 1 indexed citations
13.
Bartlett, D. S. & V. Klemas. (1981). In situ spectral reflectance studies of tidal wetland grasses. Photogrammetric Engineering & Remote Sensing. 47. 32 indexed citations
14.
Klemas, V., et al.. (1976). Variability of wetland reflectance and its effect on automatic catergorization of satellite imagery. NASA Technical Reports Server (NASA). 5 indexed citations
15.
Daiber, Franklin C., et al.. (1974). INVENTORY OF DELAWARE'S WETLANDS. 40(4). 10 indexed citations
16.
17.
Klemas, V., et al.. (1974). Inventories of Delaware's coastal vegetation and land-use utilizing digital processing of ERTS-1 imagery. NASA Technical Reports Server (NASA). 351. 1243. 1 indexed citations
18.
Klemas, V., et al.. (1974). Coastal and estuarine studies with ERTS-1 and Skylab. Remote Sensing of Environment. 3(3). 153–174. 59 indexed citations
19.
Klemas, V., et al.. (1973). Application of automated multispectral analysis to Delaware's coastal vegetation mapping. NASA Technical Reports Server (NASA). 3 indexed citations
20.
Klemas, V., D. S. Bartlett, & Franklin C. Daiber. (1973). Mapping Delaware's coastal vegetation and land use from aircraft and satellites. NASA Technical Reports Server (NASA). 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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