Daniel Leitner

3.7k total citations
51 papers, 2.0k citations indexed

About

Daniel Leitner is a scholar working on Plant Science, Soil Science and Civil and Structural Engineering. According to data from OpenAlex, Daniel Leitner has authored 51 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Plant Science, 21 papers in Soil Science and 9 papers in Civil and Structural Engineering. Recurrent topics in Daniel Leitner's work include Plant nutrient uptake and metabolism (41 papers), Irrigation Practices and Water Management (12 papers) and Rice Cultivation and Yield Improvement (11 papers). Daniel Leitner is often cited by papers focused on Plant nutrient uptake and metabolism (41 papers), Irrigation Practices and Water Management (12 papers) and Rice Cultivation and Yield Improvement (11 papers). Daniel Leitner collaborates with scholars based in Austria, Germany and Belgium. Daniel Leitner's co-authors include Andrea Schnepf, Gernot Bodner, Hans‐Peter Kaul, Sabine Klepsch, Mathieu Javaux, Alireza Nakhforoosh, Jan Vanderborght, Harry Vereecken, Guillaume Lobet and Félicien Meunier and has published in prestigious journals such as PLANT PHYSIOLOGY, New Phytologist and Journal of Experimental Botany.

In The Last Decade

Daniel Leitner

49 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Leitner Austria 23 1.3k 781 355 221 209 51 2.0k
Saoirse Tracy Ireland 20 1.2k 0.9× 509 0.7× 350 1.0× 106 0.5× 279 1.3× 40 1.8k
Andrea Schnepf Germany 32 1.9k 1.4× 943 1.2× 330 0.9× 273 1.2× 247 1.2× 97 2.7k
Tino Colombi Sweden 20 842 0.6× 923 1.2× 404 1.1× 78 0.4× 127 0.6× 38 1.7k
J. M. Kirby Australia 28 652 0.5× 718 0.9× 571 1.6× 303 1.4× 191 0.9× 99 2.1k
Mutez Ali Ahmed Germany 32 1.8k 1.4× 779 1.0× 425 1.2× 723 3.3× 204 1.0× 75 2.4k
Loïc Pagès France 29 2.5k 1.9× 830 1.1× 285 0.8× 501 2.3× 319 1.5× 89 3.2k
Daniel Uteau Germany 20 471 0.4× 755 1.0× 371 1.0× 153 0.7× 215 1.0× 58 1.6k
Shaoyuan Feng China 22 538 0.4× 787 1.0× 519 1.5× 483 2.2× 525 2.5× 63 1.8k
Osny Oliveira Santos Bacchi Brazil 26 634 0.5× 945 1.2× 692 1.9× 121 0.5× 492 2.4× 105 1.9k
Gernot Bodner Austria 28 1.4k 1.1× 1.3k 1.7× 764 2.2× 367 1.7× 475 2.3× 86 3.0k

Countries citing papers authored by Daniel Leitner

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Leitner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Leitner

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Leitner. A scholar is included among the top collaborators of Daniel Leitner 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 Daniel Leitner. Daniel Leitner 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.
Vanderborght, Jan, Valentin Couvreur, Mathieu Javaux, et al.. (2024). Mechanistically derived macroscopic root water uptake functions: The α and ω of root water uptake functions. Vadose Zone Journal. 23(4). 2 indexed citations
2.
3.
Javaux, Mathieu, Daniel Leitner, Félicien Meunier, et al.. (2023). CPlantBox: a fully coupled modelling platform for the water and carbon fluxes in the soil–plant–atmosphere continuum. Ghent University Academic Bibliography (Ghent University). 5(2). 13 indexed citations
4.
Seidel, Sabine J., Thomas Gaiser, Amit Kumar Srivastava, et al.. (2022). Simulating Root Growth as a Function of Soil Strength and Yield With a Field-Scale Crop Model Coupled With a 3D Architectural Root Model. Frontiers in Plant Science. 13. 865188–865188. 12 indexed citations
5.
Leitner, Daniel, et al.. (2022). Root System Scale Models Significantly Overestimate Root Water Uptake at Drying Soil Conditions. Frontiers in Plant Science. 13. 798741–798741. 10 indexed citations
6.
Landl, Magdalena, Daniel Leitner, Eva Kroener, et al.. (2021). Simulating rhizodeposition patterns around growing and exuding root systems. Lirias (KU Leuven). 3(2). 16 indexed citations
7.
Schnepf, Andrea, Jan Vanderborght, Daniel Leitner, et al.. (2020). CPlantBox, a whole-plant modelling framework for the simulation of water- and carbon-related processes. Lirias (KU Leuven). 2(1). 40 indexed citations
8.
Moraes, Moacir Tuzzin de, Henrique Debiasi, J. C. Franchini, et al.. (2019). Mechanical and Hydric Stress Effects on Maize Root System Development at Different Soil Compaction Levels. Frontiers in Plant Science. 10. 1358–1358. 36 indexed citations
9.
Bodner, Gernot, Alireza Nakhforoosh, Thomas Arnold, & Daniel Leitner. (2018). Hyperspectral imaging: a novel approach for plant root phenotyping. Plant Methods. 14(1). 84–84. 62 indexed citations
10.
Bodner, Gernot, et al.. (2017). RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols. Journal of Visualized Experiments. 22 indexed citations
11.
Zhao, Jiangsan, Gernot Bodner, Boris Rewald, et al.. (2017). Root architecture simulation improves the inference from seedling root phenotyping towards mature root systems. Journal of Experimental Botany. 68(5). 965–982. 40 indexed citations
12.
Schnepf, Andrea, et al.. (2015). Automated Root Tracking with "Root System Analyzer". EGU General Assembly Conference Abstracts. 13297. 1 indexed citations
13.
Lobet, Guillaume, Michael P. Pound, Christophe Pradal, et al.. (2015). Root System Markup Language: Toward a Unified Root Architecture Description Language. PLANT PHYSIOLOGY. 167(3). 617–627. 86 indexed citations
14.
Meunier, Félicien, Daniel Leitner, Gernot Bodner, Mathieu Javaux, & Andrea Schnepf. (2014). Water uptake efficiency of a maize plant - A simulation case study. DIAL (Catholic University of Leuven). 16. 6734. 1 indexed citations
15.
Scholl, P., Daniel Leitner, Gerhard Kammerer, et al.. (2014). Root induced changes of effective 1D hydraulic properties in a soil column. Plant and Soil. 381(1-2). 193–213. 116 indexed citations
16.
Leitner, Daniel, Gernot Bodner, & Amir Raoof. (2013). Coupling root architecture and pore network modeling - an attempt towards better understanding root-soil interactions. EGUGA. 1 indexed citations
17.
Bodner, Gernot, et al.. (2013). A statistical approach to root system classification. Frontiers in Plant Science. 4. 292–292. 55 indexed citations
18.
Leitner, Daniel, Andrea Schnepf, Sabine Klepsch, & Tiina Roose. (2010). Comparison of nutrient uptake between three‐dimensional simulation and an averaged root system model. Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology. 144(2). 443–447. 14 indexed citations
19.
Leitner, Daniel, Andrea Schnepf, Sabine Klepsch, & Tiina Roose. (2010). Water uptake by a maize root system - An explicit numerical 3-dimensional simulation.. EGU General Assembly Conference Abstracts. 8473. 1 indexed citations
20.
Leitner, Daniel, Sabine Klepsch, Mariya Ptashnyk, et al.. (2009). A dynamic model of nutrient uptake by root hairs. New Phytologist. 185(3). 792–802. 78 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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