Vivien Rolland

1.9k total citations
44 papers, 1.2k citations indexed

About

Vivien Rolland is a scholar working on Plant Science, Molecular Biology and Ecology. According to data from OpenAlex, Vivien Rolland has authored 44 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Plant Science, 16 papers in Molecular Biology and 6 papers in Ecology. Recurrent topics in Vivien Rolland's work include Photosynthetic Processes and Mechanisms (9 papers), Plant nutrient uptake and metabolism (4 papers) and Lipid metabolism and biosynthesis (4 papers). Vivien Rolland is often cited by papers focused on Photosynthetic Processes and Mechanisms (9 papers), Plant nutrient uptake and metabolism (4 papers) and Lipid metabolism and biosynthesis (4 papers). Vivien Rolland collaborates with scholars based in Australia, United Kingdom and United States. Vivien Rolland's co-authors include Grégory Emery, Juergen A. Knoblich, Joerg Betschinger, Sarah Bowman, G. Dean Price, Murray R. Badger, Christophe Barbraud, Karine Delord, Stéphanie Jenouvrier and Marie Nevoux and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Plant Cell and Development.

In The Last Decade

Vivien Rolland

40 papers receiving 1.2k citations

Peers

Vivien Rolland

ECOLO

CMN

Michael A. Menze United States

Dimitri Tolleter France

Mats Töpel Sweden

Juliet C. Coates United Kingdom

Simon Prochnik United States

Shinichiro Maruyama Japan

Ricard Albalat Spain

Gavin Burns United Kingdom

Masayuki Onishi United States

Armin Hallmann Germany

Michael A. Menze United States

Vivien Rolland

731 ×1.1

374 ×0.9

369 ×2.0

ECOLO

83 ×0.5

CMN

164 ×1.2

Citations per year, relative to Vivien Rolland Vivien Rolland (= 1×) peers Michael A. Menze

Countries citing papers authored by Vivien Rolland

Since Specialization

Citations

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

Fields of papers citing papers by Vivien Rolland

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vivien Rolland

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Bull, Geoff, et al.. (2026). High-throughput Verticillium wilt detection in cotton: A comparative study of faster R-CNN and YOLOv11. Biosystems Engineering. 263. 104379–104379.

Bräutigam, Andrea, Montserrat Saladié, Vivien Rolland, et al.. (2024). Leaf transcriptomes from C3, C3-C4 intermediate, and C4Neurachne species give insights into C4 photosynthesis evolution. PLANT PHYSIOLOGY. 197(1).

Zia, Ali, James D. Nichols, Usman Bashir Tayab, et al.. (2024). Topological deep learning: a review of an emerging paradigm. Artificial Intelligence Review. 57(4). 16 indexed citations

Ahmedt‐Aristizabal, David, Daniel Smith, Xun Li, et al.. (2024). An In-Field Dynamic Vision-Based Analysis for Vineyard Yield Estimation. IEEE Access. 12. 102146–102166. 4 indexed citations

Conaty, Warren C., Iain W. Wilson, Shiming Liu, et al.. (2024). HairNet2: deep learning to quantify cotton leaf hairiness, a complex genetic and environmental trait. Plant Methods. 20(1). 46–46. 1 indexed citations

Okada, Shoko, Andrew C. Warden, Vivien Rolland, et al.. (2023). The structural components of the Azotobacter vinelandii iron-only nitrogenase, AnfDKG, form a protein complex within the plant mitochondrial matrix. Plant Molecular Biology. 112(4-5). 279–291. 4 indexed citations

Rocha, Raquel Abdallah da, et al.. (2023). Non-covalent binding tags for batch and flow biocatalysis. Enzyme and Microbial Technology. 169. 110268–110268. 6 indexed citations

Hobbs, G., Minh Huynh, Vivien Rolland, et al.. (2022). SPARKESX: Single-dish PARKES data sets for finding the uneXpected – a data challenge. Monthly Notices of the Royal Astronomical Society. 516(4). 5832–5848. 2 indexed citations

Li, Xiaoqing, Madeline Mitchell, Vivien Rolland, et al.. (2022). ‘Pink cotton candy’—A new dye‐free cotton. Plant Biotechnology Journal. 21(4). 677–679. 16 indexed citations

10.

Rolland, Vivien, et al.. (2022). HairNet: a deep learning model to score leaf hairiness, a key phenotype for cotton fibre yield, value and insect resistance. Plant Methods. 18(1). 8–8. 15 indexed citations

11.

Schnippenkoetter, Wendelin, Mohammad Shamsul Hoque, Angela P. Van de Wouw, et al.. (2021). Comparison of non-subjective relative fungal biomass measurements to quantify the Leptosphaeria maculans—Brassica napus interaction. Plant Methods. 17(1). 122–122. 6 indexed citations

12.

South, Paul F., Berkley J. Walker, Amanda P. Cavanagh, et al.. (2017). Bile Acid Sodium Symporter BASS6 Can Transport Glycolate and Is Involved in Photorespiratory Metabolism in Arabidopsis thaliana. The Plant Cell. 29(4). 808–823. 49 indexed citations

13.

Biquand, Élise, Nami Okubo, Yusuke Aihara, et al.. (2017). Acceptable symbiont cell size differs among cnidarian species and may limit symbiont diversity. The ISME Journal. 11(7). 1702–1712. 43 indexed citations

14.

Allen, Robert S., Kimberley Tilbrook, Andrew C. Warden, et al.. (2017). Expression of 16 Nitrogenase Proteins within the Plant Mitochondrial Matrix. Frontiers in Plant Science. 8. 287–287. 66 indexed citations

15.

Saladié, Montserrat, et al.. (2017). Loss of the Chloroplast Transit Peptide from an Ancestral C ₃ Carbonic Anhydrase Is Associated with C ₄ Evolution in the Grass Genus Neurachne. PLANT PHYSIOLOGY. 173(3). 1648–1658. 15 indexed citations

16.

Rolland, Vivien, Murray R. Badger, & G. Dean Price. (2016). Redirecting the Cyanobacterial Bicarbonate Transporters BicA and SbtA to the Chloroplast Envelope: Soluble and Membrane Cargos Need Different Chloroplast Targeting Signals in Plants. Frontiers in Plant Science. 7. 185–185. 57 indexed citations

17.

Gowik, Udo, Stefanie Schulze, Montserrat Saladié, et al.. (2016). A MEM1-like motif directs mesophyll cell-specific expression of the gene encoding the C₄carbonic anhydrase inFlaveria. Journal of Experimental Botany. 68(2). 311–320. 18 indexed citations

18.

Long, Benedict M., Benjamin D. Rae, Vivien Rolland, Britta Förster, & G. Dean Price. (2016). Cyanobacterial CO2-concentrating mechanism components: function and prospects for plant metabolic engineering. Current Opinion in Plant Biology. 31. 1–8. 83 indexed citations

19.

Rolland, Vivien, Dana M. Bergstrom, Gary Bryant, et al.. (2015). Easy Come, Easy Go: Capillary Forces Enable Rapid Refilling of Embolized Primary Xylem Vessels. PLANT PHYSIOLOGY. 168(4). 1636–1647. 37 indexed citations

20.

Laurençon, Anne, Raphaëlle Dubruille, Evgeni Efimenko, et al.. (2007). Identification of novel regulatory factor X (RFX) target genes by comparative genomics in Drosophila species. Genome biology. 8(9). R195–R195. 81 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.

Explore authors with similar magnitude of impact