Glenn J. Fitzgerald

7.2k total citations · 1 hit paper
122 papers, 4.7k citations indexed

About

Glenn J. Fitzgerald is a scholar working on Plant Science, Atmospheric Science and Ecology. According to data from OpenAlex, Glenn J. Fitzgerald has authored 122 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Plant Science, 44 papers in Atmospheric Science and 34 papers in Ecology. Recurrent topics in Glenn J. Fitzgerald's work include Plant responses to elevated CO2 (62 papers), Atmospheric chemistry and aerosols (43 papers) and Remote Sensing in Agriculture (30 papers). Glenn J. Fitzgerald is often cited by papers focused on Plant responses to elevated CO2 (62 papers), Atmospheric chemistry and aerosols (43 papers) and Remote Sensing in Agriculture (30 papers). Glenn J. Fitzgerald collaborates with scholars based in Australia, United States and United Kingdom. Glenn J. Fitzgerald's co-authors include Michael Tausz, Garry J. O’Leary, Daniel Rodrı́guez, Saman Seneweera, Sabine Tausz‐Posch, Robert M. Norton, R. K. Belford, Joe Panozzo, Thomas R. Clarke and James G. Nuttall and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Glenn J. Fitzgerald

120 papers receiving 4.5k citations

Hit Papers

Increasing CO2 threatens human nutrition 2014 2026 2018 2022 2014 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Glenn J. Fitzgerald Australia 36 3.3k 1.4k 1.1k 1.0k 565 122 4.7k
Vijaya Gopal Kakani United States 38 3.1k 0.9× 881 0.6× 1.0k 0.9× 410 0.4× 680 1.2× 92 4.6k
Stephen A. Prior United States 37 3.8k 1.2× 673 0.5× 1.5k 1.4× 1.0k 1.0× 380 0.7× 192 6.2k
Jie Song China 53 4.3k 1.3× 896 0.6× 1.6k 1.5× 1.0k 1.0× 442 0.8× 260 8.1k
Marco Moriondo Italy 38 2.8k 0.8× 1.2k 0.9× 2.3k 2.1× 464 0.4× 472 0.8× 131 5.5k
Roberto Tognetti Italy 50 4.1k 1.2× 1.1k 0.8× 4.2k 3.8× 2.3k 2.2× 402 0.7× 277 8.4k
Paulo Eduardo Teodoro Brazil 30 2.6k 0.8× 1.3k 0.9× 1.0k 0.9× 285 0.3× 351 0.6× 471 4.6k
Gerard W. Wall United States 38 3.6k 1.1× 655 0.5× 2.1k 1.9× 1.2k 1.2× 582 1.0× 85 4.5k
Garry J. O’Leary Australia 35 2.2k 0.7× 813 0.6× 920 0.8× 324 0.3× 897 1.6× 100 3.6k
Bin Wang China 37 1.5k 0.5× 802 0.6× 1.8k 1.6× 551 0.5× 511 0.9× 191 4.5k
Andrew D. B. Leakey United States 44 6.8k 2.0× 1.1k 0.8× 3.5k 3.2× 2.3k 2.2× 1.0k 1.8× 100 9.0k

Countries citing papers authored by Glenn J. Fitzgerald

Since Specialization
Citations

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

Fields of papers citing papers by Glenn J. Fitzgerald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Glenn J. Fitzgerald. 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 Glenn J. Fitzgerald. The network helps show where Glenn J. Fitzgerald may publish in the future.

Co-authorship network of co-authors of Glenn J. Fitzgerald

This figure shows the co-authorship network connecting the top 25 collaborators of Glenn J. Fitzgerald. A scholar is included among the top collaborators of Glenn J. Fitzgerald 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 Glenn J. Fitzgerald. Glenn J. Fitzgerald 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.
Parvin, Shahnaj, Shihab Uddin, Sabine Tausz‐Posch, et al.. (2025). Metabolite profiling reveals distinct changes in C-and N-metabolism of lentil (Lens culinaris Medik.) under CO2 enrichment in two contrasting growing seasons in the field. Environmental and Experimental Botany. 237. 106182–106182. 1 indexed citations
2.
Nuttall, James G., et al.. (2024). Storage Temperature and Grain Moisture Effects on Phenolic Compounds as a Driver of Seed Coat Darkening in Red Lentil. Agronomy. 14(4). 705–705. 2 indexed citations
3.
Colaço, André Freitas, B. M. Whelan, R. G. V. Bramley, et al.. (2024). Digital strategies for nitrogen management in grain production systems: lessons from multi-method assessment using on-farm experimentation. Precision Agriculture. 25(2). 983–1013. 5 indexed citations
4.
Nuttall, James G., et al.. (2024). An Explanatory Model of Red Lentil Seed Coat Colour to Manage Degradation in Quality during Storage. Agronomy. 14(2). 373–373. 1 indexed citations
5.
Walker, Cassandra K., Ashley J. Wallace, James G. Nuttall, et al.. (2023). Storage Temperature and Grain Moisture Effects on Market and End Use Properties of Red Lentil. Agronomy. 13(9). 2261–2261. 3 indexed citations
6.
Walker, Cassandra K., Ashley J. Wallace, James G. Nuttall, et al.. (2023). Modified Storage Atmosphere Prevents the Degradation of Key Grain Quality Traits in Lentil. Agronomy. 13(8). 2160–2160. 3 indexed citations
7.
Walker, Cassandra K., et al.. (2023). Technologies and Data Analytics to Manage Grain Quality On-Farm: A Review. Preprints.org. 2 indexed citations
8.
Uddin, Shihab, Shahnaj Parvin, Roger Armstrong, et al.. (2023). Water use dynamics of dryland wheat grown under elevated CO2 with supplemental nitrogen. Crop and Pasture Science. 75(1).
9.
Ryu, Dongryeol, Andrew W. Western, Glenn J. Fitzgerald, et al.. (2023). A new multispectral index for canopy nitrogen concentration applicable across growth stages in ryegrass and barley. Precision Agriculture. 25(1). 486–519. 4 indexed citations
11.
Griffin, Terry, Glenn J. Fitzgerald, James Lowenberg‐DeBoer, & Edward M. Barnes. (2020). Modeling local and global spatial correlation in field‐scale experiments. Agronomy Journal. 112(4). 2708–2721. 2 indexed citations
12.
Walker, Cassandra K., Joe Panozzo, F. Békés, et al.. (2019). Adaptive traits do not mitigate the decline in bread wheat quality under elevated CO2. Journal of Cereal Science. 88. 24–30. 4 indexed citations
13.
Fitzgerald, Glenn J., Eileen M. Perry, Ken Flower, et al.. (2019). Frost Damage Assessment in Wheat Using Spectral Mixture Analysis. Remote Sensing. 11(21). 2476–2476. 15 indexed citations
14.
Nuttall, James G., Garry J. O’Leary, Joe Panozzo, et al.. (2016). Models of grain quality in wheat—A review. Field Crops Research. 202. 136–145. 201 indexed citations
15.
Obanor, F., E. A. B. Aitken, Siraj Datta, et al.. (2014). Fusarium crown rot under continuous cropping of susceptible and partially resistant wheat in microcosms at elevated CO2. Queensland's institutional digital repository (The University of Queensland). 1 indexed citations
16.
Devadas, Rakhesh, Simon Jones, Glenn J. Fitzgerald, et al.. (2011). Development of a wireless sensor network for in-situ image validation for water and nitrogen management. University of Twente Research Information. 2 indexed citations
17.
Luck, Jo, Kyla J. Finlay, S. Chakraborty, et al.. (2010). An integrative approach to understanding the pest and disease threats to agricultural biosecurity under future climates.. 1379–1388. 1 indexed citations
18.
Chu, Chengcai, et al.. (2006). Improvement of CC traps for catching Frankliniella occidentalis.. Southwestern Entomologist. 31(3). 201–210. 3 indexed citations
19.
Fitzgerald, Glenn J., Stephan J. Maas, & W. R. DeTar. (2000). Assessing spider mite damage in cotton using multispectral remote sensing.. 2. 1342–1345. 6 indexed citations
20.
Maas, Stephan J., Glenn J. Fitzgerald, & W. R. DeTar. (2000). Determining cotton leaf canopy temperature using multispectral remote sensing.. 1. 623–626. 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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