John M. Zobitz

670 total citations
20 papers, 469 citations indexed

About

John M. Zobitz is a scholar working on Global and Planetary Change, Ecology and Nature and Landscape Conservation. According to data from OpenAlex, John M. Zobitz has authored 20 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Global and Planetary Change, 5 papers in Ecology and 3 papers in Nature and Landscape Conservation. Recurrent topics in John M. Zobitz's work include Atmospheric and Environmental Gas Dynamics (9 papers), Plant Water Relations and Carbon Dynamics (7 papers) and Climate variability and models (4 papers). John M. Zobitz is often cited by papers focused on Atmospheric and Environmental Gas Dynamics (9 papers), Plant Water Relations and Carbon Dynamics (7 papers) and Climate variability and models (4 papers). John M. Zobitz collaborates with scholars based in United States, United Kingdom and Germany. John M. Zobitz's co-authors include D. R. Bowling, D. J. Moore, James P. Keener, H. Schnyder, Diane E. Pataki, J. R. Ehleringer, Ankur R. Desai, Michael A. Chadwick, Sean P. Burns and Markus Reichstein and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Geophysical Research Letters.

In The Last Decade

John M. Zobitz

18 papers receiving 460 citations

Peers

John M. Zobitz

GPC

ECOLO

Vivek Arora Canada

Daniel Caetano Santos Brazil

Xin Lai China

H. Jiang China

David P. Billesbach United States

Agnieszka Wypych Poland

Wolfgang Enke Germany

Stephanie Gleixner Germany

S. Ludwig United States

Fátima Espírito Santo Portugal

Vivek Arora Canada

John M. Zobitz

481 ×1.4

GPC

212 ×1.1

78 ×0.9

ECOLO

33 ×0.5

58 ×1.2

Citations per year, relative to John M. Zobitz John M. Zobitz (= 1×) peers Vivek Arora

Countries citing papers authored by John M. Zobitz

Since Specialization

Citations

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

Fields of papers citing papers by John M. Zobitz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John M. Zobitz. 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 John M. Zobitz. The network helps show where John M. Zobitz may publish in the future.

Co-authorship network of co-authors of John M. Zobitz

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

All Works

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20 of 20 papers shown

Hooker, Roderick S. & John M. Zobitz. (2023). Prescribing by Physician Associates and Nurse Practitioners in Older Adults Is Outpacing Traditional Prescribers: Implications for Practice in American Medicine. Medical Care Research and Review. 81(2). 156–163.

Chen, Liang, Jukka Pumpanen, Anne Ojala, et al.. (2022). The role of terrestrial productivity and hydrology in regulating aquatic dissolved organic carbon concentrations in boreal catchments. Global Change Biology. 28(8). 2764–2778. 20 indexed citations

Zobitz, John M., Heidi Aaltonen, Xuan Zhou, et al.. (2021). Comparing an exponential respiration model to alternative models for soil respiration components in a Canadian wildfire chronosequence (FireResp v1.0). Geoscientific model development. 14(10). 6605–6622. 2 indexed citations

Hooker, Roderick S., et al.. (2021). Retention and change in PAs' first years of employment. JAAPA. 34(6). 40–43. 13 indexed citations

Kardynal, Kevin J., et al.. (2020). Phenological and isotopic evidence for migration as a life history strategy in Aeshna canadensis (family: Aeshnidae) dragonflies. Ecological Entomology. 46(2). 209–219. 3 indexed citations

Zobitz, John M., Tristan Quaife, & Nancy Nichols. (2019). Efficient hyper-parameter determination for regularised linear BRDF parameter retrieval. International Journal of Remote Sensing. 41(4). 1437–1457. 4 indexed citations

Osman, Samira A., et al.. (2018). Modeling Mayfly Nymph Length Distribution and Population Dynamics Across a Gradient of Stream Temperatures and Stream Types. ISU Red - Research and eData (Illinois State University). 1 indexed citations

Griffis, Timothy J., Dylan B. Millet, J.D. Wood, et al.. (2016). Partitioning N2O Emissions within the US Corn Belt using an Inverse Modeling Approach. AGU Fall Meeting Abstracts. 2016. 2 indexed citations

Zobitz, John M., et al.. (2016). Quantifying distribution in carbon uptake and environmental measurements with the Gini coefficient. SHILAP Revista de lepidopterología. 3(1). 1–12. 2 indexed citations

10.

Chen, Zichong, Timothy J. Griffis, Dylan B. Millet, et al.. (2016). Partitioning N₂O emissions within the U.S. Corn Belt using an inverse modeling approach. Global Biogeochemical Cycles. 30(8). 1192–1205. 35 indexed citations

11.

Zobitz, John M., et al.. (2016). Quantifying Distribution in Carbon Uptake and Environmental Measurements with the Gini Coefficient. 3(1). 2 indexed citations

12.

Zobitz, John M., et al.. (2014). Joint data assimilation of satellite reflectance and net ecosystem exchange data constrains ecosystem carbon fluxes at a high-elevation subalpine forest. Agricultural and Forest Meteorology. 195-196. 73–88. 25 indexed citations

13.

Zobitz, John M.. (2013). Forest Carbon Uptake and the Fundamental Theorem of Calculus. College Mathematics Journal. 44(5). 421–424. 2 indexed citations

14.

Zobitz, John M., et al.. (2012). CHAOS in Context: Behind the Scenes of the Lorenz Model. Math Horizons. 20(1). 25–28.

15.

Zobitz, John M., Ankur R. Desai, D. J. Moore, & Michael A. Chadwick. (2011). A primer for data assimilation with ecological models using Markov Chain Monte Carlo (MCMC). Oecologia. 167(3). 599–611. 73 indexed citations

16.

Zobitz, John M., D. J. Moore, William J. Sacks, et al.. (2008). Integration of Process-based Soil Respiration Models with Whole-Ecosystem CO2 Measurements. Ecosystems. 11(2). 250–269. 44 indexed citations

17.

Zobitz, John M., Sean P. Burns, Markus Reichstein, & D. R. Bowling. (2008). Partitioning net ecosystem carbon exchange and the carbon isotopic disequilibrium in a subalpine forest. Global Change Biology. 14(8). 1785–1800. 33 indexed citations

18.

Zobitz, John M., Sean P. Burns, Jérôme Ogée, Markus Reichstein, & D. R. Bowling. (2007). Partitioning net ecosystem exchange of CO₂: A comparison of a Bayesian/isotope approach to environmental regression methods. Journal of Geophysical Research Atmospheres. 112(G3). 18 indexed citations

19.

Zobitz, John M., James P. Keener, H. Schnyder, & D. R. Bowling. (2006). Sensitivity analysis and quantification of uncertainty for isotopic mixing relationships in carbon cycle research. Agricultural and Forest Meteorology. 136(1-2). 56–75. 113 indexed citations

20.

Pataki, Diane E., D. R. Bowling, J. R. Ehleringer, & John M. Zobitz. (2006). High resolution atmospheric monitoring of urban carbon dioxide sources. Geophysical Research Letters. 33(3). 77 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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