George Burba

8.9k total citations
51 papers, 3.7k citations indexed

About

George Burba is a scholar working on Global and Planetary Change, Atmospheric Science and Ecology. According to data from OpenAlex, George Burba has authored 51 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Global and Planetary Change, 12 papers in Atmospheric Science and 9 papers in Ecology. Recurrent topics in George Burba's work include Plant Water Relations and Carbon Dynamics (31 papers), Atmospheric and Environmental Gas Dynamics (31 papers) and Climate variability and models (11 papers). George Burba is often cited by papers focused on Plant Water Relations and Carbon Dynamics (31 papers), Atmospheric and Environmental Gas Dynamics (31 papers) and Climate variability and models (11 papers). George Burba collaborates with scholars based in United States, Italy and Sweden. George Burba's co-authors include Shashi B. Verma, Andrew E. Suyker, Timothy J. Arkebauer, D. K. McDermitt, Achim Grelle, D. J. Anderson, Anatoly A. Gitelson, Liukang Xu, Kenneth G. Hubbard and Daniel T. Walters and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and Global Change Biology.

In The Last Decade

George Burba

50 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
George Burba United States 28 3.0k 1.2k 899 840 514 51 3.7k
Éric Ceschia France 26 1.6k 0.5× 1.1k 0.9× 696 0.8× 678 0.8× 806 1.6× 60 2.9k
Lawrence E. Hipps United States 30 2.5k 0.8× 647 0.5× 846 0.9× 770 0.9× 704 1.4× 121 3.1k
J.A. Elbers Netherlands 29 3.1k 1.0× 924 0.8× 1.0k 1.1× 573 0.7× 916 1.8× 45 4.0k
Bernard Longdoz France 22 2.7k 0.9× 1.2k 1.0× 779 0.9× 519 0.6× 505 1.0× 35 3.3k
Leonardo Montagnani Italy 35 3.6k 1.2× 948 0.8× 1.3k 1.5× 670 0.8× 689 1.3× 87 4.4k
J. M. Massheder United Kingdom 14 2.4k 0.8× 849 0.7× 884 1.0× 626 0.7× 353 0.7× 14 3.5k
Nobuko Saigusa Japan 37 3.1k 1.0× 1.1k 0.9× 1.0k 1.2× 659 0.8× 627 1.2× 110 3.9k
Liukang Xu United States 20 3.5k 1.2× 1.2k 1.0× 935 1.0× 1.0k 1.2× 633 1.2× 27 4.7k
Olaf Kolle Germany 40 3.7k 1.2× 1.0k 0.9× 2.1k 2.3× 780 0.9× 379 0.7× 105 4.7k
Eva van Gorsel Australia 33 3.0k 1.0× 890 0.7× 1.0k 1.1× 437 0.5× 893 1.7× 55 3.6k

Countries citing papers authored by George Burba

Since Specialization
Citations

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

Fields of papers citing papers by George Burba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George Burba. 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 George Burba. The network helps show where George Burba may publish in the future.

Co-authorship network of co-authors of George Burba

This figure shows the co-authorship network connecting the top 25 collaborators of George Burba. A scholar is included among the top collaborators of George Burba 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 George Burba. George Burba 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.
Malone, Sparkle L., Youmi Oh, Kyle A. Arndt, et al.. (2022). Gaps in network infrastructure limit our understanding of biogenic methane emissions for the United States. Biogeosciences. 19(9). 2507–2522. 3 indexed citations
2.
Malone, Sparkle L., Youmi Oh, Kyle A. Arndt, et al.. (2021). Gaps in Network Infrastructure limit our understanding of biogenic methane emissions in the United States. 2 indexed citations
3.
Chan, Stephen, et al.. (2019). Comparison of gas analyzers for eddy covariance: Effects of analyzer type and spectral corrections on fluxes. Agricultural and Forest Meteorology. 272-273. 128–142. 26 indexed citations
5.
Fratini, Gerardo, Simone Sabbatini, Brad Riensche, et al.. (2018). Eddy covariance flux errors due to random and systematic timing errors during data acquisition. Biogeosciences. 15(17). 5473–5487. 7 indexed citations
6.
Griebel, Anne, Lauren T. Bennett, Daniel Metzen, et al.. (2016). Effects of inhomogeneities within the flux footprint on the interpretation of seasonal, annual, and interannual ecosystem carbon exchange. Agricultural and Forest Meteorology. 221. 50–60. 41 indexed citations
7.
Metzger, Stefan, George Burba, Sean P. Burns, et al.. (2016). Optimization of an enclosed gas analyzer sampling system for measuring eddy covariance fluxes of H 2 O and CO 2. Atmospheric measurement techniques. 9(3). 1341–1359. 18 indexed citations
8.
Burba, George, Joseph C. von Fischer, Beniamino Gioli, et al.. (2016). Latest on Mobile Methane Measurements with Fast Open-Path Technology: Experiences, Opportunities & Perspectives. Publication Database GFZ (GFZ German Research Centre for Geosciences). 1 indexed citations
9.
Metzger, Stefan, George Burba, Sean P. Burns, et al.. (2015). Optimization of a gas sampling system for measuring eddy-covariance fluxes of H 2 O and CO 2. 1 indexed citations
10.
Burba, George, Beniamino Gioli, Sami Haapanala, et al.. (2014). Advancements in Micrometeorological Technique for Monitoring CH4 Release from Remote Permafrost Regions: Principles, Emerging Research, and Latest Updates. EGU General Assembly Conference Abstracts. 1185. 1 indexed citations
11.
Kathilankal, J. C., et al.. (2014). A New Tool for Automated Data Collection and Complete On-site Flux Data Processing for Eddy Covariance Measurements. AGU Fall Meeting Abstracts. 2014. 1 indexed citations
12.
Oechel, Walter C., Aram Kalhori, George Burba, & Beniamino Gioli. (2013). Annual patterns and budget of CO2 flux in an Alaskan arctic tussock tundra ecosystem at Atqasuk, Alaska. AGU Fall Meeting Abstracts. 2013. 2 indexed citations
13.
Peltola, Olli, Ivan Mammarella, Sami Haapanala, George Burba, & Timo Vesala. (2013). Field intercomparison of four methane gas analyzers suitable for eddy covariance flux measurements. Biogeosciences. 10(6). 3749–3765. 43 indexed citations
14.
Xu, Liukang, George Burba, Jessica L. Schedlbauer, et al.. (2010). Eddy Covariance Measurements of Methane Flux at Remote Sites with New Low-Power Lightweight Fast Gas Analyzer. EGU General Assembly Conference Abstracts. 3743. 1 indexed citations
15.
Burba, George, et al.. (2010). Solution for Minimizing Surface Heating Effect for Fast Open-Path CO2 Flux Measurements in Cold Environments. AGUFM. 2010.
16.
Burba, George, et al.. (2007). Eddy Covariance Method: Overview of General Guidelines and Conventional Workflow. AGUFM. 2007. 14 indexed citations
17.
Burba, George, et al.. (2006). Additional Term in the Webb-Pearman-Leuning Correction due to Surface Heating From an Open-Path Gas Analyzer. AGU Fall Meeting Abstracts. 2006. 15 indexed citations
18.
Burba, George. (2006). Correcting apparent off-season CO 2 uptake due to surface heating of an open path gas analyzer: progress report of an ongoing study. 37 indexed citations
19.
Gitelson, Anatoly A., Andrés Viña, Shashi B. Verma, et al.. (2004). Remote Estimation of Net Ecosystem CO2 Exchange in Crops: Principles, Technique Calibration and Validation. Insecta mundi. 2 indexed citations
20.
Burba, George. (1997). Astroblemes: Unique Terrestrial Ecosystems. M&PSA. 32. 1 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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