Jesper Svensgaard

768 total citations
10 papers, 555 citations indexed

About

Jesper Svensgaard is a scholar working on Plant Science, Ecology and Environmental Engineering. According to data from OpenAlex, Jesper Svensgaard has authored 10 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 4 papers in Ecology and 3 papers in Environmental Engineering. Recurrent topics in Jesper Svensgaard's work include Remote Sensing in Agriculture (4 papers), Remote Sensing and LiDAR Applications (3 papers) and Leaf Properties and Growth Measurement (3 papers). Jesper Svensgaard is often cited by papers focused on Remote Sensing in Agriculture (4 papers), Remote Sensing and LiDAR Applications (3 papers) and Leaf Properties and Growth Measurement (3 papers). Jesper Svensgaard collaborates with scholars based in Denmark, Czechia and Austria. Jesper Svensgaard's co-authors include Svend Christensen, Thomas Roitsch, Dominik K. Großkinsky, Jesper Rasmussen, Jon Nielsen, Robert Nøddebo Poulsen, Signe Marie Jensen, Christian Ritz, Jesper Cairo Westergaard and Ulrich Schurr and has published in prestigious journals such as New Phytologist, Journal of Experimental Botany and Field Crops Research.

In The Last Decade

Jesper Svensgaard

10 papers receiving 542 citations

Peers

Jesper Svensgaard

ECOLO

GPC

GENET

Carlos Zúñiga Espinoza United States

Dan Dutartre France

Matthieu Hemmerlé France

José A. Fernandez-Gallego Colombia

Chunsong Bian China

Sanaz Jarolmasjed United States

Shuxin Pang China

Ma. Luisa Buchaillot Spain

Oiva Niemeläinen Finland

Adrian Gracia‐Romero Spain

Carlos Zúñiga Espinoza United States

Jesper Svensgaard

435 ×1.3

339 ×1.1

ECOLO

172 ×0.9

119 ×1.5

GPC

25 ×0.5

GENET

Citations per year, relative to Jesper Svensgaard Jesper Svensgaard (= 1×) peers Carlos Zúñiga Espinoza

Countries citing papers authored by Jesper Svensgaard

Since Specialization

Citations

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

Fields of papers citing papers by Jesper Svensgaard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jesper Svensgaard

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

All Works

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10 of 10 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

Svensgaard, Jesper, Signe Marie Jensen, Svend Christensen, & Jesper Rasmussen. (2021). The importance of spectral correction of UAV-based phenotyping with RGB cameras. Field Crops Research. 269. 108177–108177. 19 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

Christensen, Svend, et al.. (2020). The Effects of Cultivar, Nitrogen Supply and Soil Type on Radiation Use Efficiency and Harvest Index in Spring Wheat. Agronomy. 10(9). 1391–1391. 9 indexed citations

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

Jensen, Signe Marie, Jesper Svensgaard, & Christian Ritz. (2019). Estimation of the harvest index and the relative water content – Two examples of composite variables in agronomy. European Journal of Agronomy. 112. 125962–125962. 17 indexed citations

Großkinsky, Dominik K., Jesper Svensgaard, Svend Christensen, & Thomas Roitsch. (2015). Plant phenomics and the need for physiological phenotyping across scales to narrow the genotype-to-phenotype knowledge gap. Journal of Experimental Botany. 66(18). 5429–5440. 177 indexed citations

Rasmussen, Jesper, et al.. (2015). Are vegetation indices derived from consumer-grade cameras mounted on UAVs sufficiently reliable for assessing experimental plots?. European Journal of Agronomy. 74. 75–92. 220 indexed citations

Großkinsky, Dominik K., Roland Pieruschka, Jesper Svensgaard, et al.. (2015). Phenotyping in the fields: dissecting the genetics of quantitative traits and digital farming. New Phytologist. 207(4). 950–952. 26 indexed citations

10.

Svensgaard, Jesper, Thomas Roitsch, & Svend Christensen. (2014). Development of a Mobile Multispectral Imaging Platform for Precise Field Phenotyping. Agronomy. 4(3). 322–336. 52 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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