C. E. Tweedie

10.4k total citations
81 papers, 3.0k citations indexed

About

C. E. Tweedie is a scholar working on Atmospheric Science, Ecology and Global and Planetary Change. According to data from OpenAlex, C. E. Tweedie has authored 81 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Atmospheric Science, 29 papers in Ecology and 11 papers in Global and Planetary Change. Recurrent topics in C. E. Tweedie's work include Climate change and permafrost (48 papers), Cryospheric studies and observations (34 papers) and Geology and Paleoclimatology Research (22 papers). C. E. Tweedie is often cited by papers focused on Climate change and permafrost (48 papers), Cryospheric studies and observations (34 papers) and Geology and Paleoclimatology Research (22 papers). C. E. Tweedie collaborates with scholars based in United States, Canada and Australia. C. E. Tweedie's co-authors include Robert D. Hollister, Patrick J. Webber, Steven F. Oberbauer, John A. Gamon, Mark J. Lara, K. F. Huemmrich, Christian Andresen, Andrea Kuchy, Dana M. Bergstrom and Justine D. Shaw and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Geophysical Research Atmospheres and Remote Sensing of Environment.

In The Last Decade

C. E. Tweedie

73 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. E. Tweedie United States 27 1.9k 1.1k 673 301 297 81 3.0k
Tarmo Virtanen Finland 34 1.3k 0.7× 1.3k 1.2× 763 1.1× 279 0.9× 147 0.5× 83 2.6k
Martha K. Raynolds United States 30 2.9k 1.5× 1.0k 0.9× 569 0.8× 126 0.4× 163 0.5× 73 3.5k
Takeshi Ise Japan 15 840 0.4× 724 0.7× 1.1k 1.6× 218 0.7× 238 0.8× 32 2.1k
Timo Kumpula Finland 26 1.0k 0.5× 911 0.8× 881 1.3× 223 0.7× 153 0.5× 74 2.6k
Magnus Lund Denmark 29 1.6k 0.8× 1.3k 1.2× 1.1k 1.7× 117 0.4× 136 0.5× 65 2.7k
Tomohiro Hajima Japan 19 1.5k 0.8× 473 0.4× 2.4k 3.5× 213 0.7× 234 0.8× 47 3.2k
Adrian V. Rocha United States 29 1.5k 0.8× 1.1k 1.0× 2.1k 3.1× 525 1.7× 190 0.6× 55 3.2k
Michio Kawamiya Japan 24 1.6k 0.8× 432 0.4× 2.3k 3.4× 179 0.6× 226 0.8× 77 3.3k
N. M. Tchebakova Russia 30 1.6k 0.8× 741 0.7× 2.2k 3.2× 832 2.8× 313 1.1× 73 3.1k
Shuhua Yi China 33 1.4k 0.7× 1.3k 1.2× 1.1k 1.6× 382 1.3× 259 0.9× 95 2.9k

Countries citing papers authored by C. E. Tweedie

Since Specialization
Citations

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

Fields of papers citing papers by C. E. Tweedie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. E. Tweedie

This figure shows the co-authorship network connecting the top 25 collaborators of C. E. Tweedie. A scholar is included among the top collaborators of C. E. Tweedie 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. E. Tweedie. C. E. Tweedie 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.
Creel, Roger, Julia Guimond, Benjamin Jones, et al.. (2024). Permafrost thaw subsidence, sea-level rise, and erosion are transforming Alaska’s Arctic coastal zone. Proceedings of the National Academy of Sciences. 121(50). e2409411121–e2409411121. 7 indexed citations
2.
Huemmrich, K. F., et al.. (2023). 20 years of change in tundra NDVI from coupled field and satellite observations. Environmental Research Letters. 18(9). 94022–94022. 2 indexed citations
3.
McCord, Sarah E., Nicholas P. Webb, Brandon T. Bestelmeyer, et al.. (2023). The Landscape Data Commons: A system for standardizing, accessing, and applying large environmental datasets for agroecosystem research and management. Agricultural & Environmental Letters. 8(2). 6 indexed citations
4.
Darrouzet‐Nardi, Anthony, et al.. (2023). Consistent microbial and nutrient resource island patterns during monsoon rain in a Chihuahuan Desert bajada shrubland. Ecosphere. 14(4). 6 indexed citations
5.
6.
Liljedahl, Anna, L. D. Hinzman, D. L. Kane, et al.. (2017). Tundra water budget and implications of precipitation underestimation. Water Resources Research. 53(8). 6472–6486. 20 indexed citations
7.
Tweedie, C. E., et al.. (2015). How to Predict Nesting Sites. scholarworks - UTEP (The University of Texas at El Paso). 11(2). 119–121.
8.
9.
Elmendorf, Sarah C., Gregory H. R. Henry, Robert D. Hollister, et al.. (2014). Experiment, monitoring, and gradient methods used to infer climate change effects on plant communities yield consistent patterns. Proceedings of the National Academy of Sciences. 112(2). 448–452. 191 indexed citations
10.
Hubbard, Susan S., Chandana Gangodagamage, Baptiste Dafflon, et al.. (2012). Quantifying and Relating Subsurface and Land-surface Variability in Permafrost Environments using Surface Geophysical and LIDAR Datasets.. EGU General Assembly Conference Abstracts. 5902. 4 indexed citations
11.
Olivas, Paulo, Steven F. Oberbauer, C. E. Tweedie, et al.. (2011). Effects of Fine-Scale Topography on CO 2 Flux Components of Alaskan Coastal Plain Tundra: Response to Contrasting Growing Seasons. Arctic Antarctic and Alpine Research. 43(2). 256–266. 30 indexed citations
12.
Johnson, David R., Diane Ebert‐May, Patrick J. Webber, & C. E. Tweedie. (2011). Forecasting Alpine Vegetation Change Using Repeat Sampling and a Novel Modeling Approach. AMBIO. 40(6). 693–704. 17 indexed citations
13.
Callaghan, Terry V., C. E. Tweedie, & Patrick J. Webber. (2011). Multi-decadal Changes in Tundra Environments and Ecosystems: The International Polar Year-Back to the Future Project (IPY-BTF). AMBIO. 40(6). 555–557. 26 indexed citations
14.
Liljedahl, Anna, L. D. Hinzman, Yoshinobu Harazono, et al.. (2011). Nonlinear controls on evapotranspiration in Arctic coastal wetlands. 5 indexed citations
15.
Крейнович, Владик, et al.. (2010). Toward Computing an Optimal Trajectory for an Environment-Oriented Unmanned Aerial Vehicle (UAV) under Uncertainty. scholarworks - UTEP (The University of Texas at El Paso). 9(2). 84–94. 1 indexed citations
16.
Robertson, William H., et al.. (2009). Bridging the gap between real world polar science and the classroom. scholarworks - UTEP (The University of Texas at El Paso). 39(2). 33–37. 1 indexed citations
17.
Johnson, David R., et al.. (2009). IPY-Back to the Future: Determining decadal time scale change in ecosystem structure and function in high latitude and high altitude tundra ecosystems. AGU Fall Meeting Abstracts. 2009. 1 indexed citations
18.
Goswami, Santonu, et al.. (2008). Design and Development of a Spectral Library for Different Vegetation and Landcover Types for Arctic, Antarctic and Chihuahua Desert Ecosystem. AGU Fall Meeting Abstracts. 2008. 2 indexed citations
19.
Brown, J., et al.. (2007). Erosion of the Barrow Environmental Observatory Coastline 2003-2008, Northern Alaska. AGU Fall Meeting Abstracts. 2007. 2 indexed citations
20.
Gaylord, A. G., et al.. (2006). Arctic Research Mapping Application (ARMAP). AGU Fall Meeting Abstracts. 2006. 3 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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