C. G. Griffin

998 total citations
17 papers, 747 citations indexed

About

C. G. Griffin is a scholar working on Atmospheric Science, Water Science and Technology and Global and Planetary Change. According to data from OpenAlex, C. G. Griffin has authored 17 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Atmospheric Science, 6 papers in Water Science and Technology and 6 papers in Global and Planetary Change. Recurrent topics in C. G. Griffin's work include Climate change and permafrost (7 papers), Atmospheric and Environmental Gas Dynamics (6 papers) and Water Quality and Pollution Assessment (5 papers). C. G. Griffin is often cited by papers focused on Climate change and permafrost (7 papers), Atmospheric and Environmental Gas Dynamics (6 papers) and Water Quality and Pollution Assessment (5 papers). C. G. Griffin collaborates with scholars based in United States, Russia and Switzerland. C. G. Griffin's co-authors include R. M. Holmes, Karen E. Frey, J. W. McClelland, Raymond M. Hozalski, Patrick L. Brezonik, Leif G. Olmanson, Jacques C. Finlay, John Rogan, Greg Fiske and N. Zimov and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, PLoS ONE and The Science of The Total Environment.

In The Last Decade

C. G. Griffin

17 papers receiving 733 citations

Peers

C. G. Griffin

OCEAN

WST

ECOLO

Yong Hoon Kim United States

Miguel Potes Portugal

Bangyi Tao China

Carlos Ruberto Fragoso Brazil

Marco Peters United Kingdom

Tristan Harmel France

Tomasz Dabrowski Ireland

Grigor Obolensky France

Vincenzo Vellucci France

Xavier Mériaux France

Yong Hoon Kim United States

C. G. Griffin

433 ×1.3

OCEAN

156 ×0.6

81 ×0.4

171 ×1.1

WST

193 ×1.2

ECOLO

Citations per year, relative to C. G. Griffin C. G. Griffin (= 1×) peers Yong Hoon Kim

Countries citing papers authored by C. G. Griffin

Since Specialization

Citations

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

Fields of papers citing papers by C. G. Griffin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. G. Griffin. 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 C. G. Griffin. The network helps show where C. G. Griffin may publish in the future.

Co-authorship network of co-authors of C. G. Griffin

This figure shows the co-authorship network connecting the top 25 collaborators of C. G. Griffin. A scholar is included among the top collaborators of C. G. Griffin 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 C. G. Griffin. C. G. Griffin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Jorgenson, M. Torre, Mikhail Kanevskiy, Janet C. Jorgenson, et al.. (2022). Rapid transformation of tundra ecosystems from ice-wedge degradation. Global and Planetary Change. 216. 103921–103921. 17 indexed citations

Topp, Simon, Tamlin M. Pavelsky, Emily H. Stanley, et al.. (2021). Multi-decadal improvement in US Lake water clarity. Environmental Research Letters. 16(5). 55025–55025. 42 indexed citations

Witharana, Chandi, Md Abul Ehsan Bhuiyan, Anna Liljedahl, et al.. (2021). An Object-Based Approach for Mapping Tundra Ice-Wedge Polygon Troughs from Very High Spatial Resolution Optical Satellite Imagery. Remote Sensing. 13(4). 558–558. 21 indexed citations

Olmanson, Leif G., Benjamin P. Page, Jacques C. Finlay, et al.. (2020). Regional measurements and spatial/temporal analysis of CDOM in 10,000+ optically variable Minnesota lakes using Landsat 8 imagery. The Science of The Total Environment. 724. 138141–138141. 39 indexed citations

Bhuiyan, Md Abul Ehsan, Chandi Witharana, Anna Liljedahl, et al.. (2020). Understanding the Effects of Optimal Combination of Spectral Bands on Deep Learning Model Predictions: A Case Study Based on Permafrost Tundra Landform Mapping Using High Resolution Multispectral Satellite Imagery. Journal of Imaging. 6(9). 97–97. 25 indexed citations

Witharana, Chandi, Md Abul Ehsan Bhuiyan, Anna Liljedahl, et al.. (2020). Understanding the synergies of deep learning and data fusion of multispectral and panchromatic high resolution commercial satellite imagery for automated ice-wedge polygon detection. ISPRS Journal of Photogrammetry and Remote Sensing. 170. 174–191. 35 indexed citations

Brezonik, Patrick L., Jacques C. Finlay, C. G. Griffin, et al.. (2019). Iron influence on dissolved color in lakes of the Upper Great Lakes States. PLoS ONE. 14(2). e0211979–e0211979. 16 indexed citations

Chen, Yiling, William A. Arnold, C. G. Griffin, et al.. (2019). Assessment of the chlorine demand and disinfection byproduct formation potential of surface waters via satellite remote sensing. Water Research. 165. 115001–115001. 20 indexed citations

Brezonik, Patrick L., R. William Bouchard, Jacques C. Finlay, et al.. (2019). Color, chlorophyll a, and suspended solids effects on Secchi depth in lakes: implications for trophic state assessment. Ecological Applications. 29(3). e01871–e01871. 67 indexed citations

10.

Griffin, C. G., Jacques C. Finlay, Patrick L. Brezonik, Leif G. Olmanson, & Raymond M. Hozalski. (2018). Limitations on using CDOM as a proxy for DOC in temperate lakes. Water Research. 144. 719–727. 48 indexed citations

11.

Griffin, C. G., J. W. McClelland, Karen E. Frey, Greg Fiske, & R. M. Holmes. (2018). Quantifying CDOM and DOC in major Arctic rivers during ice-free conditions using Landsat TM and ETM+ data. Remote Sensing of Environment. 209. 395–409. 108 indexed citations

12.

Feng, Xiaojuan, Jorien E. Vonk, C. G. Griffin, et al.. (2017). ¹⁴C Variation of Dissolved Lignin in Arctic River Systems. ACS Earth and Space Chemistry. 1(6). 334–344. 18 indexed citations

13.

McClelland, J. W., R. M. Holmes, Bradley J. Peterson, et al.. (2016). Particulate organic carbon and nitrogen export from major Arctic rivers. Global Biogeochemical Cycles. 30(5). 629–643. 168 indexed citations

14.

Tavakoly, Ahmad A., David R. Maidment, J. W. McClelland, et al.. (2015). AGISFramework for Regional Modeling of Riverine Nitrogen Transport: Case Study, San Antonio and Guadalupe Basins. JAWRA Journal of the American Water Resources Association. 52(1). 1–15. 20 indexed citations

15.

Griffin, C. G., J. W. McClelland, Karen E. Frey, & Ryan M. Holmes. (2012). Quantifying and correcting the impacts of freezing samples on dissolved organic matter absorbance. AGUFM. 2012. 1 indexed citations

16.

Griffin, C. G., J. W. McClelland, Jorien E. Vonk, R. M. Holmes, & Karen E. Frey. (2012). Chromophoric dissolved organic matter during the Mackenzie River spring freshet: Observations and freeze-thaw experiments. EGUGA. 11878. 2 indexed citations

17.

Griffin, C. G., Karen E. Frey, John Rogan, & R. M. Holmes. (2011). Spatial and interannual variability of dissolved organic matter in the Kolyma River, East Siberia, observed using satellite imagery. Journal of Geophysical Research Atmospheres. 116(G3). 100 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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