Maryse Bourgault

1.2k total citations
35 papers, 614 citations indexed

About

Maryse Bourgault is a scholar working on Plant Science, Agronomy and Crop Science and Soil Science. According to data from OpenAlex, Maryse Bourgault has authored 35 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Plant Science, 17 papers in Agronomy and Crop Science and 12 papers in Soil Science. Recurrent topics in Maryse Bourgault's work include Plant responses to elevated CO2 (13 papers), Agronomic Practices and Intercropping Systems (11 papers) and Atmospheric chemistry and aerosols (10 papers). Maryse Bourgault is often cited by papers focused on Plant responses to elevated CO2 (13 papers), Agronomic Practices and Intercropping Systems (11 papers) and Atmospheric chemistry and aerosols (10 papers). Maryse Bourgault collaborates with scholars based in United States, Canada and Australia. Maryse Bourgault's co-authors include Michael Tausz, Sabine Tausz‐Posch, Heidi Webber, Glenn J. Fitzgerald, Donald L. Smith, M. G. Horst, M. Fernanda Dreccer, Chandra A. Madramootoo, Roger Armstrong and Andrew T. James and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Global Change Biology.

In The Last Decade

Maryse Bourgault

35 papers receiving 596 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maryse Bourgault United States 15 488 173 150 131 124 35 614
Martin Erbs Germany 14 619 1.3× 123 0.7× 308 2.1× 146 1.1× 270 2.2× 33 772
José R. López United States 9 412 0.8× 147 0.8× 69 0.5× 90 0.7× 257 2.1× 14 660
Chuang Cai China 11 579 1.2× 95 0.5× 166 1.1× 114 0.9× 218 1.8× 20 708
Katsuya Yano Japan 16 722 1.5× 109 0.6× 61 0.4× 194 1.5× 131 1.1× 42 850
Saurav Saha India 15 260 0.5× 48 0.3× 80 0.5× 171 1.3× 103 0.8× 55 518
Toshinori Matsunami Japan 12 471 1.0× 77 0.4× 118 0.8× 105 0.8× 142 1.1× 36 567
Yoshihiro Kaneta Japan 10 388 0.8× 72 0.4× 72 0.5× 137 1.0× 81 0.7× 28 473
Hitomi Wakatsuki Japan 9 339 0.7× 62 0.4× 94 0.6× 67 0.5× 123 1.0× 14 452
Minehiko Fukuoka Japan 13 530 1.1× 55 0.3× 137 0.9× 84 0.6× 156 1.3× 20 614
Junfang Zhao China 13 415 0.9× 83 0.5× 58 0.4× 127 1.0× 158 1.3× 28 612

Countries citing papers authored by Maryse Bourgault

Since Specialization
Citations

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

Fields of papers citing papers by Maryse Bourgault

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maryse Bourgault

This figure shows the co-authorship network connecting the top 25 collaborators of Maryse Bourgault. A scholar is included among the top collaborators of Maryse Bourgault 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 Maryse Bourgault. Maryse Bourgault 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.
2.
Bourgault, Maryse, et al.. (2024). How do roll timing and seeding rate affect lentil yields?. Crop Forage & Turfgrass Management. 10(1). 1 indexed citations
3.
Wagner‐Riddle, Claudia, Stephen Brown, Maryse Bourgault, et al.. (2024). Improved nitrogen fertilizer management reduces nitrous oxide emissions in a northern Prairie cropland. The Science of The Total Environment. 956. 177211–177211. 5 indexed citations
4.
Miller, Perry R., Clain Jones, Patrick M. Carr, et al.. (2023). Inoculant and fertilizer effects on lentil in the US northern Great Plains. Agronomy Journal. 116(2). 704–718. 3 indexed citations
5.
Menalled, Fabián D., David K. Weaver, Tim Seipel, et al.. (2022). Cropping systems alter plant volatile emissions in the field through soil legacy effects. Renewable Agriculture and Food Systems. 37(5). 375–381. 3 indexed citations
6.
Seipel, Tim, et al.. (2021). Predicted climate conditions and cover crop composition modify weed communities in semiarid agroecosystems. Weed Research. 62(1). 38–48. 10 indexed citations
7.
Bourgault, Maryse, et al.. (2021). Introducing cover crops as a fallow replacement in the Northern Great Plains: I. Evaluation of cover crop mixes as a forage source for grazing cattle. Renewable Agriculture and Food Systems. 37(4). 292–302. 4 indexed citations
8.
Bourgault, Maryse, Sabine Tausz‐Posch, Mark Greenwood, et al.. (2021). Does Elevated [CO2] Only Increase Root Growth in the Topsoil? A FACE Study with Lentil in a Semi-Arid Environment. Plants. 10(4). 612–612. 2 indexed citations
9.
Bourgault, Maryse, Heidi Webber, Karine Chenu, et al.. (2020). Early vigour in wheat: Could it lead to more severe terminal drought stress under elevated atmospheric [CO2] and semi‐arid conditions?. Global Change Biology. 26(7). 4079–4093. 14 indexed citations
10.
Carr, Patrick M., et al.. (2019). Potential of annual forages in the Northern Great Plains. Crops & Soils. 52(1). 18–22. 6 indexed citations
11.
Webber, Heidi, et al.. (2018). Crop management adaptations to improve and stabilize crop yields under low-yielding conditions in the Sudan Savanna of West Africa. European Journal of Agronomy. 101. 1–9. 19 indexed citations
12.
Christy, Brendan, Sabine Tausz‐Posch, Michael Tausz, et al.. (2018). Benefits of increasing transpiration efficiency in wheat under elevated CO2 for rainfed regions. Global Change Biology. 24(5). 1965–1977. 53 indexed citations
13.
Kok, Luit J. De, Roger Armstrong, Glenn J. Fitzgerald, et al.. (2017). The proportion of nitrate in leaf nitrogen, but not changes in root growth, are associated with decreased grain protein in wheat under elevated [CO2]. Journal of Plant Physiology. 216. 44–51. 32 indexed citations
15.
Bourgault, Maryse, et al.. (2016). Yield, growth and grain nitrogen response to elevated CO2 of five field pea (Pisum sativum L.) cultivars in a low rainfall environment. Field Crops Research. 196. 1–9. 22 indexed citations
16.
Bourgault, Maryse, Andrew T. James, & M. Fernanda Dreccer. (2016). Pot size matters revisited: does container size affect the response to elevated CO2 and our ability to detect genotypic variability in this response in wheat?. Functional Plant Biology. 44(1). 52–61. 16 indexed citations
18.
Bourgault, Maryse & Donald L. Smith. (2010). Comparative study of common bean (Phaseolus vulgaris L.) and mungbean (Vigna radiata (L.) Wilczek) response to seven watering regimes in a controlled environment. Crop and Pasture Science. 61(11). 918–928. 5 indexed citations
19.
Webber, Heidi, et al.. (2009). Adapting the CROPGRO model for saline soils: the case for a common bean crop. Irrigation Science. 28(4). 317–329. 13 indexed citations
20.
Webber, Heidi, et al.. (2006). Water use efficiency of common bean and green gram grown using alternate furrow and deficit irrigation. Agricultural Water Management. 86(3). 259–268. 76 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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