Keely L. Roth

1.1k total citations
25 papers, 795 citations indexed

About

Keely L. Roth is a scholar working on Ecology, Ecological Modeling and Media Technology. According to data from OpenAlex, Keely L. Roth has authored 25 papers receiving a total of 795 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Ecology, 9 papers in Ecological Modeling and 9 papers in Media Technology. Recurrent topics in Keely L. Roth's work include Remote Sensing in Agriculture (19 papers), Species Distribution and Climate Change (9 papers) and Remote-Sensing Image Classification (9 papers). Keely L. Roth is often cited by papers focused on Remote Sensing in Agriculture (19 papers), Species Distribution and Climate Change (9 papers) and Remote-Sensing Image Classification (9 papers). Keely L. Roth collaborates with scholars based in United States, Spain and Slovakia. Keely L. Roth's co-authors include Dar A. Roberts, Philip E. Dennison, Kenneth L. Dudley, S. Peterson, Michael Alonzo, Susan Meerdink, Glynn Hulley, Susan L. Ustin, Jennifer Y. King and Margarita Huesca and has published in prestigious journals such as Remote Sensing of Environment, Remote Sensing and Ecological Indicators.

In The Last Decade

Keely L. Roth

22 papers receiving 777 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keely L. Roth United States 14 606 351 276 195 169 25 795
Benjamin Mack Germany 12 408 0.7× 262 0.7× 152 0.6× 146 0.7× 126 0.7× 13 626
Giulia Tagliabue Italy 15 661 1.1× 374 1.1× 306 1.1× 140 0.7× 101 0.6× 33 980
Tatjana Koukal Austria 8 613 1.0× 257 0.7× 465 1.7× 141 0.7× 164 1.0× 12 803
Sibylle Itzerott Germany 15 513 0.8× 265 0.8× 296 1.1× 104 0.5× 74 0.4× 34 826
Wai‐Tim Ng Austria 13 462 0.8× 228 0.6× 185 0.7× 101 0.5× 143 0.8× 16 705
Jennifer N. Hird Canada 9 635 1.0× 499 1.4× 305 1.1× 68 0.3× 123 0.7× 11 840
Rong Shang China 14 686 1.1× 487 1.4× 442 1.6× 73 0.4× 93 0.6× 32 984
Maria Tsakiri–Strati Greece 9 443 0.7× 242 0.7× 334 1.2× 171 0.9× 45 0.3× 13 669
Benjamin Tardy France 6 487 0.8× 272 0.8× 225 0.8× 213 1.1× 47 0.3× 7 724
Nick Clinton United States 5 484 0.8× 275 0.8× 346 1.3× 297 1.5× 63 0.4× 7 811

Countries citing papers authored by Keely L. Roth

Since Specialization
Citations

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

Fields of papers citing papers by Keely L. Roth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keely L. Roth

This figure shows the co-authorship network connecting the top 25 collaborators of Keely L. Roth. A scholar is included among the top collaborators of Keely L. Roth 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 Keely L. Roth. Keely L. Roth 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.
Meerdink, Susan, Dar A. Roberts, Jennifer Y. King, et al.. (2025). Using hyperspectral and thermal imagery to monitor stress of Southern California plant species during the 2013–2015 drought. ISPRS Journal of Photogrammetry and Remote Sensing. 220. 580–592. 4 indexed citations
2.
Roth, Keely L., et al.. (2025). Early results from the Tanager hyperspectral mission. 18–18.
3.
Roth, Keely L., et al.. (2023). Planet’s Upcoming VIS-SWIR Hyperspectral Satellites. HM3C.5–HM3C.5. 2 indexed citations
4.
Roth, Keely L., et al.. (2022). Generating Reliable Higher Level Hyperspectral Data Products: A Framework for Driving Upstream Processing Decisions. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 7252–7255. 1 indexed citations
5.
Roth, Keely L., et al.. (2022). Carbon mapper phase 1: two upcoming VNIR-SWIR hyperspectral imaging satellites. 49–49. 7 indexed citations
6.
Kefauver, Shawn C., Mariko Burgin, L.M. Bruce, & Keely L. Roth. (2019). Women Taking on Roles in Summer and Regional GRSS Activities [Women in GRSS]. IEEE Geoscience and Remote Sensing Magazine. 7(3). 123–128.
7.
Dennison, Philip E., Yi Qi, Susan Meerdink, et al.. (2019). Comparison of Methods for Modeling Fractional Cover Using Simulated Satellite Hyperspectral Imager Spectra. Remote Sensing. 11(18). 2072–2072. 40 indexed citations
8.
Meerdink, Susan, Dar A. Roberts, Keely L. Roth, et al.. (2019). Classifying California plant species temporally using airborne hyperspectral imagery. Remote Sensing of Environment. 232. 111308–111308. 37 indexed citations
9.
Adeline, Karine, Keely L. Roth, Margarita Huesca, et al.. (2016). Spectral sensitivity of radiative transfer inversion for seasonal canopy pigments estimation from aviris data in a woodland savanna ecosystem. SPIRE - Sciences Po Institutional REpository. 1–5. 1 indexed citations
10.
Huesca, Margarita, et al.. (2016). Canopy structural attributes derived from AVIRIS imaging spectroscopy data in a mixed broadleaf/conifer forest. Remote Sensing of Environment. 182. 208–226. 28 indexed citations
11.
Roth, Keely L., et al.. (2016). Leaf spectral clusters as potential optical leaf functional types within California ecosystems. Remote Sensing of Environment. 184. 229–246. 21 indexed citations
12.
Meerdink, Susan, Dar A. Roberts, Jennifer Y. King, et al.. (2016). Linking seasonal foliar traits to VSWIR-TIR spectroscopy across California ecosystems. Remote Sensing of Environment. 186. 322–338. 42 indexed citations
13.
Roberts, Dar A., S. Peterson, Trent Biggs, et al.. (2016). Mapping changing distributions of dominant species in oil-contaminated salt marshes of Louisiana using imaging spectroscopy. Remote Sensing of Environment. 182. 192–207. 20 indexed citations
14.
Roth, Keely L., Dar A. Roberts, Philip E. Dennison, S. Peterson, & Michael Alonzo. (2015). The impact of spatial resolution on the classification of plant species and functional types within imaging spectrometer data. Remote Sensing of Environment. 171. 45–57. 80 indexed citations
15.
Roth, Keely L., et al.. (2015). Differentiating plant species within and across diverse ecosystems with imaging spectroscopy. Remote Sensing of Environment. 167. 135–151. 73 indexed citations
16.
Dudley, Kenneth L., et al.. (2015). A multi-temporal spectral library approach for mapping vegetation species across spatial and temporal phenological gradients. Remote Sensing of Environment. 167. 121–134. 104 indexed citations
17.
Dennison, Philip E., et al.. (2015). Monitoring the Impacts of Severe Drought on Southern California Chaparral Species using Hyperspectral and Thermal Infrared Imagery. Remote Sensing. 7(11). 14276–14291. 37 indexed citations
18.
Roth, Keely L., et al.. (2013). Identifying Santa Barbara's urban tree species from AVIRIS imagery using canonical discriminant analysis. Remote Sensing Letters. 4(5). 513–521. 48 indexed citations
19.
Roth, Keely L., Philip E. Dennison, & Dar A. Roberts. (2012). Comparing endmember selection techniques for accurate mapping of plant species and land cover using imaging spectrometer data. Remote Sensing of Environment. 127. 139–152. 86 indexed citations
20.
Boike, Julia, Olaf Ippisch, & Keely L. Roth. (2002). Thermal and hydrological dynamics of a mud boil - any clues about its formation?. Helmholtz-Zentrum für Polar-und Meeresforschung (Alfred-Wegener-Institut). 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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