Jesper Cairo Westergaard

457 total citations
13 papers, 329 citations indexed

About

Jesper Cairo Westergaard is a scholar working on Plant Science, Cell Biology and Analytical Chemistry. According to data from OpenAlex, Jesper Cairo Westergaard has authored 13 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Plant Science, 3 papers in Cell Biology and 3 papers in Analytical Chemistry. Recurrent topics in Jesper Cairo Westergaard's work include Smart Agriculture and AI (6 papers), Plant-Microbe Interactions and Immunity (4 papers) and Plant Pathogens and Fungal Diseases (3 papers). Jesper Cairo Westergaard is often cited by papers focused on Smart Agriculture and AI (6 papers), Plant-Microbe Interactions and Immunity (4 papers) and Plant Pathogens and Fungal Diseases (3 papers). Jesper Cairo Westergaard collaborates with scholars based in Denmark, United Kingdom and Sweden. Jesper Cairo Westergaard's co-authors include Junfeng Gao, Erik Alexandersson, Ea Høegh Riis Sundmark, Thomas Roitsch, Erland Liljeroth, Dominik K. Großkinsky, Daniel Buchvaldt Amby, Josefine Nymark Hegelund, Svend Christensen and Saqib Saleem Akhtar and has published in prestigious journals such as Annual Review of Plant Biology, Journal of Experimental Botany and Frontiers in Plant Science.

In The Last Decade

Jesper Cairo Westergaard

13 papers receiving 324 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jesper Cairo Westergaard Denmark	8	269	69	59	49	27	13	329
Kathrin Bürling Germany	9	280 1.0×	98 1.4×	109 1.8×	37 0.8×	31 1.1×	13	350
Thaise Moriwaki Brazil	11	292 1.1×	110 1.6×	104 1.8×	97 2.0×	21 0.8×	13	361
Didier Demilly France	9	256 1.0×	49 0.7×	27 0.5×	46 0.9×	18 0.7×	19	311
Andrew McKenzie‐Gopsill Canada	11	286 1.1×	43 0.6×	47 0.8×	21 0.4×	24 0.9×	29	351
Sally Vail Canada	15	364 1.4×	34 0.5×	96 1.6×	58 1.2×	13 0.5×	38	470
Jeongho Baek South Korea	15	464 1.7×	33 0.5×	54 0.9×	95 1.9×	22 0.8×	40	551
Daniel Reynolds United Kingdom	6	277 1.0×	47 0.7×	126 2.1×	28 0.6×	17 0.6×	8	333
Balram Marathi India	13	407 1.5×	32 0.5×	59 1.0×	48 1.0×	10 0.4×	35	451
Andrew Scaboo United States	16	599 2.2×	50 0.7×	73 1.2×	63 1.3×	36 1.3×	48	697
Konstantinos N. Blazakis Greece	6	248 0.9×	23 0.3×	54 0.9×	53 1.1×	33 1.2×	8	292

Countries citing papers authored by Jesper Cairo Westergaard

Since Specialization

Citations

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

Fields of papers citing papers by Jesper Cairo Westergaard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jesper Cairo Westergaard. 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 Jesper Cairo Westergaard. The network helps show where Jesper Cairo Westergaard may publish in the future.

Co-authorship network of co-authors of Jesper Cairo Westergaard

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

All Works

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13 of 13 papers shown

Amby, Daniel Buchvaldt, Jesper Cairo Westergaard, Dominik K. Großkinsky, et al.. (2025). The PhenoLab – an automated, high-throughput phenotyping platform for analyzing development, abiotic stress responses and pathogen infection in model and crop plants. Smart Agricultural Technology. 11. 100845–100845. 1 indexed citations

Kutuzova, Svetlana, et al.. (2024). HyperLeaf2024 – A Hyperspectral Imaging Dataset for Classification and Regression of Wheat Leaves. Research at the University of Copenhagen (University of Copenhagen). 1234–1243. 2 indexed citations

Španić, Valentina, Ana Vuković, Rosemary Vuković, et al.. (2023). Early leaf responses of cell physiological and sensor‐based signatures reflect susceptibility of wheat seedlings to infection by leaf rust. Physiologia Plantarum. 175(4). e13990–e13990. 4 indexed citations

Westergaard, Jesper Cairo, et al.. (2022). In-field classification of the asymptomatic biotrophic phase of potato late blight based on deep learning and proximal hyperspectral imaging. Computers and Electronics in Agriculture. 205. 107585–107585. 35 indexed citations

Westergaard, Jesper Cairo, et al.. (2022). High-throughput phenotyping of physiological traits for wheat resilience to high temperature and drought stress. Journal of Experimental Botany. 73(15). 5235–5251. 41 indexed citations

Westergaard, Jesper Cairo, et al.. (2022). In-Field Early Disease Recognition of Potato Late Blight Based on Deep Learning and Proximal Hyperspectral Imaging. SSRN Electronic Journal. 5 indexed citations

Gao, Junfeng, Jesper Cairo Westergaard, & Erik Alexandersson. (2021). Computer Vision and Less Complex Image Analyses to Monitor Potato Traits in Fields. Methods in molecular biology. 2354. 273–299. 3 indexed citations

Pandey, Chandana, Dominik K. Großkinsky, Jesper Cairo Westergaard, et al.. (2021). Identification of a bio-signature for barley resistance against Pyrenophora teres infection based on physiological, molecular and sensor-based phenotyping. Plant Science. 313. 111072–111072. 13 indexed citations

Gao, Junfeng, et al.. (2021). Automatic late blight lesion recognition and severity quantification based on field imagery of diverse potato genotypes by deep learning. Knowledge-Based Systems. 214. 106723–106723. 80 indexed citations

10.

Hawkes, Christine V., Rasmus Kjøller, Jos M. Raaijmakers, et al.. (2021). Extension of Plant Phenotypes by the Foliar Microbiome. Annual Review of Plant Biology. 72(1). 823–846. 35 indexed citations

11.

Akhtar, Saqib Saleem, Daniel Buchvaldt Amby, Josefine Nymark Hegelund, et al.. (2020). Bacillus licheniformis FMCH001 Increases Water Use Efficiency via Growth Stimulation in Both Normal and Drought Conditions. Frontiers in Plant Science. 11. 297–297. 80 indexed citations

12.

Svensgaard, Jesper, Signe Marie Jensen, Jesper Cairo Westergaard, et al.. (2019). Can reproducible comparisons of cereal genotypes be generated in field experiments based on UAV imagery using RGB cameras?. European Journal of Agronomy. 106. 49–57. 21 indexed citations

13.

Rasmussen, Jesper, et al.. (2019). Seed Yield and Lodging Assessment in Red Fescue (Festuca rubra L.) Sprayed with Trinexapac-Ethyl. Agronomy. 9(10). 617–617. 9 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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